// Copyright (c) 2009 The Chromium Authors. All rights reserved. // Use of this source code is governed by a BSD-style license that can be // found in the LICENSE file. #include #include //#include // for gettimeofday #include #include "encodings/lang_enc.h" #include "encodings/compact_lang_det/compact_lang_det.h" #include "encodings/compact_lang_det/compact_lang_det_impl.h" #include "encodings/compact_lang_det/getonescriptspan.h" #include "encodings/compact_lang_det/letterscript_enum.h" #include "encodings/compact_lang_det/tote.h" #include "encodings/compact_lang_det/utf8propjustletter.h" #include "encodings/compact_lang_det/utf8propletterscriptnum.h" #include "encodings/compact_lang_det/utf8scannotjustletterspecial.h" #include "encodings/compact_lang_det/cldutil_dbg.h" #include "encodings/compact_lang_det/win/cld_basictypes.h" #include "encodings/compact_lang_det/win/cld_commandlineflags.h" #include "encodings/compact_lang_det/win/cld_google.h" #include "encodings/compact_lang_det/win/cld_utf8statetable.h" // Linker supplies the right tables extern const UTF8PropObj compact_lang_det_generated_ctjkvz_b1_obj; extern const cld::CLDTableSummary kCjkBiTable_obj; extern const cld::CLDTableSummary kQuadTable_obj; extern const cld::CLDTableSummary kLongWord8Table_obj; DEFINE_bool(cld_html, false, "Print language spans in HTML on stderr"); DEFINE_bool(cld_forcewords, false, "Score all words, in addition to quads"); DEFINE_bool(cld_showme, false, "Put squeeze/repeat points into HTML text"); DEFINE_bool(cld_echotext, false, "Print each scriptspan to stderr"); DEFINE_int32(cld_textlimit, 160, "Examine only initial n KB of actual text"); // 20 quadgrams is about 80 bytes or about 12 words in real text DEFINE_int32(cld_smoothwidth, 20, "Smoothing window width in quadgrams"); static const int kLangHintInitial = 12; // Boost language by N initially static const int kLangHintBoost = 12; // Boost language by N/16 per quadgram static const int kShortSpanThresh = 32; // Bytes static const int kMaxSecondChanceLen = 1024; // Look at first 1K of short spans static const int kCheapSqueezeTestThresh = 4096; // Only look for squeezing // after this many text bytes static const int kCheapSqueezeTestLen = 256; // Bytes to test to trigger sqz static const int kSpacesTriggerPercent = 25; // Trigger sqz if >=25% spaces static const int kPredictTriggerPercent = 67; // Trigger sqz if >=67% predicted static const int kChunksizeDefault = 48; // Squeeze 48-byte chunks static const int kSpacesThreshPercent = 25; // Squeeze if >=25% spaces static const int kPredictThreshPercent = 40; // Squeeze if >=40% predicted static const int kMaxSpaceScan = 32; // Bytes static const int kGoodLang1Percent = 70; static const int kGoodLang1and2Percent = 93; static const int kShortTextThresh = 256; // Bytes static const int kMinChunkSizeQuads = 4; // Chunk is at least four quads static const int kMaxChunkSizeQuads = 1024; // Chunk is at most 1K quads static const int kDefaultWordSpan = 256; // Scan at least this many initial // bytes with word scoring static const int kReallyBigWordSpan = 9999999; // Forces word scoring all text static const int kMinReliableSeq = 50; // Record in seq if >= 50% reliable static const int kPredictionTableSize = 4096; // Must be exactly 4096 for // cheap compressor // // Generated by dsites 2008.07.07 from 10% of Base // // Three packed language probs, subscripted by Encoding static const uint32 kEncodingHintProbs[] = { 0x00000000, // ASCII 0x18120cd5, // Latin2 POLISH.11 CZECH.5 HUNGARIAN.3 0x1d3a4bc9, // Latin3 AZERBAIJANI.10 BASQUE.3 CROATIAN.1 0x030819d4, // Latin4 ESTONIAN.11 ITALIAN.4 DUTCH.2 0x00000000, // ISO-8859-5 0x00003742, // Arabic ARABIC.12 0x00000000, // Greek 0x00000742, // Hebrew HEBREW.12 0x00002242, // Latin5 TURKISH.12 0x060419c9, // Latin6 ESTONIAN.10 FINNISH.3 GERMAN.1 0x00000942, // EUC-JP Japanese.12 0x00000942, // SJS Japanese.12 0x00000942, // JIS Japanese.12 0x00004642, // BIG5 ChineseT.12 0x00001142, // GB Chinese.12 0x46295fcd, // EUC-CN UIGHUR.10 MALAY.6 ChineseT.5 0x00000a42, // KSC Korean.12 0x00000000, // Unicode 0x03104674, // EUC ChineseT.9 SWEDISH.8 DUTCH.3 0x00000000, // CNS 0x0f1146c3, // BIG5-CP950 ChineseT.9 Chinese.5 SPANISH.4 0x00000942, // CP932 Japanese.12 0x00000000, // UTF8 0x00000000, // Unknown 0x00000000, // ASCII-7-bit 0x00000000, // KOI8R 0x00000000, // CP1251 0x00000000, // CP1252 0x00000000, // KOI8U 0x451d12cd, // CP1250 CZECH.10 CROATIAN.6 SLOVAK.5 0x0d06052a, // ISO-8859-15 FRENCH.9 GERMAN.8 PORTUGUESE.7 0x00002242, // CP1254 TURKISH.12 0x191516be, // CP1257 LITHUANIAN.8 LATVIAN.7 ESTONIAN.7 0x08003642, // ISO-8859-11 THAI.12 ITALIAN.1 0x00000000, // CP874 0x00003742, // CP1256 ARABIC.12 0x00000742, // CP1255 HEBREW.12 0x00000000, // ISO-8859-8-I 0x00000000, // VISUAL 0x00000000, // CP852 0x39001242, // CSN_369103 CZECH.12 ESPERANTO.1 0x00000000, // CP1253 0x00000000, // CP866 0x2e001944, // ISO-8859-13 ESTONIAN.12 ALBANIAN.3 0x08090a74, // ISO-2022-KR Korean.9 Japanese.8 ITALIAN.3 0x00001142, // GBK Chinese.12 0x4600113d, // GB18030 Chinese.11 ChineseT.7 0x00004642, // BIG5_HKSCS ChineseT.12 0x00000000, // ISO_2022_CN 0x00000000, // TSCII 0x00000000, // TAM 0x00000000, // TAB 0x00000000, // JAGRAN 0x00000000, // MACINTOSH 0x00000000, // UTF7 0x00000000, // BHASKAR 0x00000000, // HTCHANAKYA 0x090646ca, // UTF-16BE ChineseT.10 GERMAN.4 Japanese.2 0x00000000, // UTF-16LE 0x00000000, // UTF-32BE 0x00000000, // UTF-32LE 0x00000000, // X-BINARYENC 0x06001142, // HZ-GB-2312 Chinese.12 GERMAN.1 0x461109c2, // X-UTF8UTF8 Japanese.9 Chinese.5 ChineseT.3 0x00000000, // X-TAM-ELANGO 0x00000000, // X-TAM-LTTMBARANI 0x00000000, // X-TAM-SHREE 0x00000000, // X-TAM-TBOOMIS 0x00000000, // X-TAM-TMNEWS 0x00000000, // X-TAM-WEBTAMIL 0x00000000, // X-KDDI-Shift_JIS 0x00000000, // X-DoCoMo-Shift_JIS 0x00000000, // X-SoftBank-Shift_JIS 0x00000000, // X-KDDI-ISO-2022-JP 0x00000000, // X-SoftBank-ISO-2022-JP }; COMPILE_ASSERT(arraysize(kEncodingHintProbs) == NUM_ENCODINGS, kEncodingHintProbs_has_incorrect_size); // // Generated by dsites 2008.07.07 from 10% of Base // // Three packed language probs, subscripted by (anchor) language static const uint32 kLanguageHintProbs[] = { 0x00000000, // ENGLISH 0x00000242, // DANISH DANISH.12 0x00000342, // DUTCH DUTCH.12 0x00000442, // FINNISH FINNISH.12 0x00000542, // FRENCH FRENCH.12 0x00000642, // GERMAN GERMAN.12 0x00000742, // HEBREW HEBREW.12 0x00000842, // ITALIAN ITALIAN.12 0x00000942, // Japanese Japanese.12 0x00000a42, // Korean Korean.12 0x51000b43, // NORWEGIAN NORWEGIAN.12 NORWEGIAN_N.2 0x00000c42, // POLISH POLISH.12 0x00000d42, // PORTUGUESE PORTUGUESE.12 0x00000000, // RUSSIAN 0x00000f42, // SPANISH SPANISH.12 0x00001042, // SWEDISH SWEDISH.12 0x00001142, // Chinese Chinese.12 0x00001242, // CZECH CZECH.12 0x00000000, // GREEK 0x47001442, // ICELANDIC ICELANDIC.12 FAROESE.1 0x00001542, // LATVIAN LATVIAN.12 0x00001642, // LITHUANIAN LITHUANIAN.12 0x00001742, // ROMANIAN ROMANIAN.12 0x00001842, // HUNGARIAN HUNGARIAN.12 0x00001942, // ESTONIAN ESTONIAN.12 0x00000000, // TG_UNKNOWN_LANGUAGE 0x00000000, // Unknown 0x00001c42, // BULGARIAN BULGARIAN.12 0x00001d42, // CROATIAN CROATIAN.12 0x1e001d46, // SERBIAN CROATIAN.12 SERBIAN.5 0x00000000, // IRISH 0x0f00203d, // GALICIAN GALICIAN.11 SPANISH.7 0x5e00213a, // TAGALOG TAGALOG.11 SOMALI.4 0x00002242, // TURKISH TURKISH.12 0x00002342, // UKRAINIAN UKRAINIAN.12 0x00000000, // HINDI 0x1c1e25d4, // MACEDONIAN MACEDONIAN.11 SERBIAN.4 BULGARIAN.2 0x00002642, // BENGALI BENGALI.12 0x00002742, // INDONESIAN INDONESIAN.12 0x00000000, // LATIN 0x2700293c, // MALAY MALAY.11 INDONESIAN.6 0x00000000, // MALAYALAM 0x00000000, // WELSH 0x00000000, // NEPALI 0x00000000, // TELUGU 0x00002e42, // ALBANIAN ALBANIAN.12 0x00000000, // TAMIL 0x00003042, // BELARUSIAN BELARUSIAN.12 0x00000000, // JAVANESE 0x00000000, // OCCITAN 0x375f3330, // URDU URDU.10 UIGHUR.7 ARABIC.4 0x41003436, // BIHARI BIHARI.10 MARATHI.10 0x00000000, // GUJARATI 0x0a4636b2, // THAI THAI.7 ChineseT.3 Korean.2 0x00003742, // ARABIC ARABIC.12 0x00003842, // CATALAN CATALAN.12 0x00003942, // ESPERANTO ESPERANTO.12 0x00003a42, // BASQUE BASQUE.12 0x00000000, // INTERLINGUA 0x00000000, // KANNADA 0x05060cca, // PUNJABI POLISH.10 GERMAN.4 FRENCH.2 0x00000000, // SCOTS_GAELIC 0x00003f42, // SWAHILI SWAHILI.12 0x00004042, // SLOVENIAN SLOVENIAN.12 0x00004142, // MARATHI MARATHI.12 0x00004242, // MALTESE MALTESE.12 0x00004342, // VIETNAMESE VIETNAMESE.12 0x00000000, // FRISIAN 0x12004543, // SLOVAK SLOVAK.12 CZECH.2 0x00004642, // ChineseT ChineseT.12 0x00000000, // FAROESE 0x00000000, // SUNDANESE 0x79004944, // UZBEK UZBEK.12 TAJIK.3 0x4d004a46, // AMHARIC AMHARIC.12 TIGRINYA.5 0x00004b42, // AZERBAIJANI AZERBAIJANI.12 0x00000000, // GEORGIAN 0x00000000, // TIGRINYA 0x00004e42, // PERSIAN PERSIAN.12 0x00000000, // BOSNIAN 0x00000000, // SINHALESE 0x00000000, // NORWEGIAN_N 0x00000000, // PORTUGUESE_P 0x00000000, // PORTUGUESE_B 0x00000000, // XHOSA 0x00000000, // ZULU 0x00000000, // GUARANI 0x00000000, // SESOTHO 0x00000000, // TURKMEN 0x7a005933, // KYRGYZ KYRGYZ.10 TATAR.7 0x00000000, // BRETON 0x00000000, // TWI 0x00000000, // YIDDISH 0x00000000, // SERBO_CROATIAN 0x00000000, // SOMALI 0x00005f42, // UIGHUR UIGHUR.12 0x00006042, // KURDISH KURDISH.12 0x00006142, // MONGOLIAN MONGOLIAN.12 0x051130c9, // ARMENIAN BELARUSIAN.10 Chinese.3 FRENCH.1 0x020f0521, // LAOTHIAN FRENCH.8 SPANISH.7 DANISH.6 0x64004e35, // SINDHI PERSIAN.10 SINDHI.9 0x00000000, // RHAETO_ROMANCE 0x00006642, // AFRIKAANS AFRIKAANS.12 0x00000000, // LUXEMBOURGISH 0x00006842, // BURMESE BURMESE.12 0x00002242, // KHMER TURKISH.12 0x88006a3c, // TIBETAN TIBETAN.11 DZONGKHA.6 0x00000000, // DHIVEHI 0x00000000, // CHEROKEE 0x00000000, // SYRIAC 0x00000000, // LIMBU 0x00000000, // ORIYA 0x00000000, // ASSAMESE 0x00000000, // CORSICAN 0x00000000, // INTERLINGUE 0x00007342, // KAZAKH KAZAKH.12 0x00000000, // LINGALA 0x00000000, // MOLDAVIAN 0x5f007645, // PASHTO PASHTO.12 UIGHUR.4 0x00000000, // QUECHUA 0x00000000, // SHONA 0x00007942, // TAJIK TAJIK.12 0x00000000, // TATAR 0x00000000, // TONGA 0x00000000, // YORUBA 0x00000000, // CREOLES_AND_PIDGINS_ENGLISH_BASED 0x00000000, // CREOLES_AND_PIDGINS_FRENCH_BASED 0x00000000, // CREOLES_AND_PIDGINS_PORTUGUESE_BASED 0x00000000, // CREOLES_AND_PIDGINS_OTHER 0x00000000, // MAORI 0x00000000, // WOLOF 0x00000000, // ABKHAZIAN 0x00000000, // AFAR 0x00000000, // AYMARA 0x00000000, // BASHKIR 0x00000000, // BISLAMA 0x00000000, // DZONGKHA 0x00000000, // FIJIAN 0x00000000, // GREENLANDIC 0x00000000, // HAUSA 0x00000000, // HAITIAN_CREOLE 0x00000000, // INUPIAK 0x00000542, // INUKTITUT FRENCH.12 0x00000000, // KASHMIRI 0x00000000, // KINYARWANDA 0x00000000, // MALAGASY 0x00000000, // NAURU 0x00000000, // OROMO 0x00000000, // RUNDI 0x00000000, // SAMOAN 0x00000000, // SANGO 0x344197d3, // SANSKRIT SANSKRIT.11 MARATHI.4 BIHARI.1 0x00000000, // SISWANT 0x00000000, // TSONGA 0x00000000, // TSWANA 0x00000000, // VOLAPUK 0x00000000, // ZHUANG 0x00000000, // KHASI 0x00000000, // SCOTS 0x00000000, // GANDA 0x00000000, // MANX 0x00000000, // MONTENEGRIN // Add new language hints just before here (just use 0x00000000) }; COMPILE_ASSERT(arraysize(kLanguageHintProbs) == NUM_LANGUAGES, kLanguageHintProbs_has_incorrect_size); // // Generated by dsites 2008.07.07 from 10% of Base // typedef struct { char key[4]; uint32 probs; } HintEntry; // Massaged TLD, followed by three packed language probs // Hand-removed 4 items dsites 2008.07.15 static const int kTLDHintProbsSize = 201; static const HintEntry kTLDHintProbs[kTLDHintProbsSize] = { // MaxRange 12 {{0x61,0x63,0x5f,0x5f}, 0x0a000945}, // ac__ Japanese.12 Korean.4 {{0x61,0x64,0x5f,0x5f}, 0x00003842}, // ad__ CATALAN.12 {{0x61,0x65,0x5f,0x5f}, 0x00003742}, // ae__ ARABIC.12 {{0x61,0x66,0x5f,0x5f}, 0x4e00763d}, // af__ PASHTO.11 PERSIAN.7 {{0x61,0x67,0x5f,0x5f}, 0x09000643}, // ag__ GERMAN.12 Japanese.2 {{0x61,0x69,0x5f,0x5f}, 0x0c180938}, // ai__ Japanese.11 HUNGARIAN.7 POLISH.2 {{0x61,0x6c,0x5f,0x5f}, 0x00002e42}, // al__ ALBANIAN.12 {{0x61,0x6e,0x5f,0x5f}, 0x6e00033d}, // an__ DUTCH.11 LIMBU.7 {{0x61,0x6f,0x5f,0x5f}, 0x05000d42}, // ao__ PORTUGUESE.12 FRENCH.1 {{0x61,0x71,0x5f,0x5f}, 0x05000f29}, // aq__ SPANISH.9 FRENCH.6 {{0x61,0x72,0x5f,0x5f}, 0x00000f42}, // ar__ SPANISH.12 {{0x61,0x73,0x5f,0x5f}, 0x0f120bcd}, // as__ NORWEGIAN.10 CZECH.6 SPANISH.5 {{0x61,0x74,0x5f,0x5f}, 0x00000642}, // at__ GERMAN.12 {{0x61,0x77,0x5f,0x5f}, 0x0f000345}, // aw__ DUTCH.12 SPANISH.4 {{0x61,0x78,0x5f,0x5f}, 0x00001042}, // ax__ SWEDISH.12 {{0x61,0x7a,0x5f,0x5f}, 0x00004b42}, // az__ AZERBAIJANI.12 {{0x62,0x61,0x5f,0x5f}, 0x00001d42}, // ba__ CROATIAN.12 {{0x62,0x62,0x5f,0x5f}, 0x00002842}, // bb__ LATIN.12 {{0x62,0x64,0x5f,0x5f}, 0x00002642}, // bd__ BENGALI.12 {{0x62,0x65,0x5f,0x5f}, 0x05000335}, // be__ DUTCH.10 FRENCH.9 {{0x62,0x66,0x5f,0x5f}, 0x00000542}, // bf__ FRENCH.12 {{0x62,0x67,0x5f,0x5f}, 0x00001c42}, // bg__ BULGARIAN.12 {{0x62,0x68,0x5f,0x5f}, 0x00003742}, // bh__ ARABIC.12 {{0x62,0x69,0x5f,0x5f}, 0x0f00053f}, // bi__ FRENCH.11 SPANISH.9 {{0x62,0x6a,0x5f,0x5f}, 0x00000542}, // bj__ FRENCH.12 {{0x62,0x6d,0x5f,0x5f}, 0x98043929}, // bm__ ESPERANTO.9 FINNISH.8 SISWANT.6 {{0x62,0x6e,0x5f,0x5f}, 0x00002942}, // bn__ MALAY.12 {{0x62,0x6f,0x5f,0x5f}, 0x00000f42}, // bo__ SPANISH.12 {{0x62,0x72,0x5f,0x5f}, 0x00000d42}, // br__ PORTUGUESE.12 {{0x62,0x74,0x5f,0x5f}, 0x00008842}, // bt__ DZONGKHA.12 {{0x62,0x77,0x5f,0x5f}, 0x06059ac4}, // bw__ TSWANA.9 FRENCH.6 GERMAN.5 {{0x62,0x79,0x5f,0x5f}, 0x00003024}, // by__ BELARUSIAN.9 {{0x62,0x7a,0x5f,0x5f}, 0x0f0a0924}, // bz__ Japanese.9 Korean.5 SPANISH.1 {{0x63,0x61,0x5f,0x5f}, 0x00000542}, // ca__ FRENCH.12 {{0x63,0x61,0x74,0x5f}, 0x00003842}, // cat_ CATALAN.12 {{0x63,0x64,0x5f,0x5f}, 0x06051224}, // cd__ CZECH.9 FRENCH.5 GERMAN.1 {{0x63,0x66,0x5f,0x5f}, 0x00000542}, // cf__ FRENCH.12 {{0x63,0x67,0x5f,0x5f}, 0x00000542}, // cg__ FRENCH.12 {{0x63,0x68,0x5f,0x5f}, 0x08050638}, // ch__ GERMAN.11 FRENCH.7 ITALIAN.2 {{0x63,0x69,0x5f,0x5f}, 0x00000542}, // ci__ FRENCH.12 {{0x63,0x6c,0x5f,0x5f}, 0x00000f42}, // cl__ SPANISH.12 {{0x63,0x6d,0x5f,0x5f}, 0x00000542}, // cm__ FRENCH.12 {{0x63,0x6e,0x5f,0x5f}, 0x00001142}, // cn__ Chinese.12 {{0x63,0x6f,0x5f,0x5f}, 0x00000f42}, // co__ SPANISH.12 // {{0x63,0x6f,0x6f,0x70}, 0x0f0509cd}, // coop Japanese.10 FRENCH.6 SPANISH.5 {{0x63,0x72,0x5f,0x5f}, 0x00000f42}, // cr__ SPANISH.12 {{0x63,0x75,0x5f,0x5f}, 0x00000f42}, // cu__ SPANISH.12 {{0x63,0x76,0x5f,0x5f}, 0x00000d42}, // cv__ PORTUGUESE.12 {{0x63,0x78,0x5f,0x5f}, 0x223a091f}, // cx__ Japanese.8 BASQUE.6 TURKISH.4 {{0x63,0x79,0x5f,0x5f}, 0x150622ba}, // cy__ TURKISH.8 GERMAN.4 LATVIAN.3 {{0x63,0x7a,0x5f,0x5f}, 0x00001242}, // cz__ CZECH.12 {{0x64,0x65,0x5f,0x5f}, 0x00000642}, // de__ GERMAN.12 {{0x64,0x6b,0x5f,0x5f}, 0x00000242}, // dk__ DANISH.12 {{0x64,0x6f,0x5f,0x5f}, 0x21000f42}, // do__ SPANISH.12 TAGALOG.1 {{0x64,0x7a,0x5f,0x5f}, 0x37000535}, // dz__ FRENCH.10 ARABIC.9 {{0x65,0x63,0x5f,0x5f}, 0x00000f42}, // ec__ SPANISH.12 // {{0x65,0x64,0x75,0x5f}, 0x2e0f3873}, // edu_ CATALAN.9 SPANISH.7 ALBANIAN.2 {{0x65,0x65,0x5f,0x5f}, 0x00001942}, // ee__ ESTONIAN.12 {{0x65,0x67,0x5f,0x5f}, 0x05003742}, // eg__ ARABIC.12 FRENCH.1 {{0x65,0x72,0x5f,0x5f}, 0x00000b42}, // er__ NORWEGIAN.12 {{0x65,0x73,0x5f,0x5f}, 0x38200fd4}, // es__ SPANISH.11 GALICIAN.4 CATALAN.2 {{0x65,0x74,0x5f,0x5f}, 0x39004a39}, // et__ AMHARIC.11 ESPERANTO.3 {{0x66,0x69,0x5f,0x5f}, 0x10000444}, // fi__ FINNISH.12 SWEDISH.3 {{0x66,0x6a,0x5f,0x5f}, 0x050489e0}, // fj__ FIJIAN.12 FINNISH.5 FRENCH.3 {{0x66,0x6f,0x5f,0x5f}, 0x00004742}, // fo__ FAROESE.12 {{0x66,0x72,0x5f,0x5f}, 0x00000542}, // fr__ FRENCH.12 {{0x67,0x61,0x5f,0x5f}, 0x00000542}, // ga__ FRENCH.12 {{0x67,0x64,0x5f,0x5f}, 0x061d05d5}, // gd__ FRENCH.11 CROATIAN.5 GERMAN.3 {{0x67,0x65,0x5f,0x5f}, 0x00004c2d}, // ge__ GEORGIAN.10 {{0x67,0x66,0x5f,0x5f}, 0x00000542}, // gf__ FRENCH.12 {{0x67,0x67,0x5f,0x5f}, 0x06002244}, // gg__ TURKISH.12 GERMAN.3 {{0x67,0x68,0x5f,0x5f}, 0x05000436}, // gh__ FINNISH.10 FRENCH.10 {{0x67,0x69,0x5f,0x5f}, 0x0f0538ce}, // gi__ CATALAN.10 FRENCH.7 SPANISH.6 {{0x67,0x6c,0x5f,0x5f}, 0x398a0238}, // gl__ DANISH.11 GREENLANDIC.7 ESPERANTO.2 {{0x67,0x6d,0x5f,0x5f}, 0x0600043e}, // gm__ FINNISH.11 GERMAN.8 {{0x67,0x6e,0x5f,0x5f}, 0x00000542}, // gn__ FRENCH.12 // {{0x67,0x6f,0x76,0x5f}, 0x05000f25}, // gov_ SPANISH.9 FRENCH.2 {{0x67,0x70,0x5f,0x5f}, 0x00000542}, // gp__ FRENCH.12 {{0x67,0x71,0x5f,0x5f}, 0x0f000547}, // gq__ FRENCH.12 SPANISH.6 {{0x67,0x73,0x5f,0x5f}, 0x00000942}, // gs__ Japanese.12 {{0x67,0x74,0x5f,0x5f}, 0x00000f42}, // gt__ SPANISH.12 {{0x68,0x6b,0x5f,0x5f}, 0x11004643}, // hk__ ChineseT.12 Chinese.2 {{0x68,0x6d,0x5f,0x5f}, 0x4606092e}, // hm__ Japanese.10 GERMAN.6 ChineseT.2 {{0x68,0x6e,0x5f,0x5f}, 0x00000f42}, // hn__ SPANISH.12 {{0x68,0x72,0x5f,0x5f}, 0x00001d42}, // hr__ CROATIAN.12 {{0x68,0x74,0x5f,0x5f}, 0x0f000542}, // ht__ FRENCH.12 SPANISH.1 {{0x68,0x75,0x5f,0x5f}, 0x00001842}, // hu__ HUNGARIAN.12 {{0x69,0x64,0x5f,0x5f}, 0x00002742}, // id__ INDONESIAN.12 {{0x69,0x65,0x5f,0x5f}, 0x050c1f24}, // ie__ IRISH.9 POLISH.5 FRENCH.1 {{0x69,0x6c,0x5f,0x5f}, 0x00000742}, // il__ HEBREW.12 {{0x69,0x6e,0x74,0x5f}, 0x0f060574}, // int_ FRENCH.9 GERMAN.8 SPANISH.3 {{0x69,0x6f,0x5f,0x5f}, 0x11090fd5}, // io__ SPANISH.11 Japanese.5 Chinese.3 {{0x69,0x71,0x5f,0x5f}, 0x60003744}, // iq__ ARABIC.12 KURDISH.3 {{0x69,0x72,0x5f,0x5f}, 0x00004e42}, // ir__ PERSIAN.12 {{0x69,0x73,0x5f,0x5f}, 0x00001442}, // is__ ICELANDIC.12 {{0x69,0x74,0x5f,0x5f}, 0x00000842}, // it__ ITALIAN.12 {{0x6a,0x65,0x5f,0x5f}, 0x29050328}, // je__ DUTCH.9 FRENCH.7 MALAY.5 {{0x6a,0x6d,0x5f,0x5f}, 0x040f0576}, // jm__ FRENCH.9 SPANISH.8 FINNISH.5 {{0x6a,0x6f,0x5f,0x5f}, 0x00003742}, // jo__ ARABIC.12 // {{0x6a,0x6f,0x62,0x73}, 0x0f060329}, // jobs DUTCH.9 GERMAN.8 SPANISH.6 {{0x6a,0x70,0x5f,0x5f}, 0x00000942}, // jp__ Japanese.12 {{0x6b,0x65,0x5f,0x5f}, 0x040f3fc3}, // ke__ SWAHILI.9 SPANISH.5 FINNISH.4 {{0x6b,0x69,0x5f,0x5f}, 0x04000643}, // ki__ GERMAN.12 FINNISH.2 {{0x6b,0x6d,0x5f,0x5f}, 0x00000542}, // km__ FRENCH.12 {{0x6b,0x70,0x5f,0x5f}, 0x00000a42}, // kp__ Korean.12 {{0x6b,0x72,0x5f,0x5f}, 0x00000a42}, // kr__ Korean.12 {{0x6b,0x77,0x5f,0x5f}, 0x00003742}, // kw__ ARABIC.12 {{0x6b,0x79,0x5f,0x5f}, 0x0500083f}, // ky__ ITALIAN.11 FRENCH.9 {{0x6b,0x7a,0x5f,0x5f}, 0x0000732d}, // kz__ KAZAKH.10 {{0x6c,0x62,0x5f,0x5f}, 0x05003747}, // lb__ ARABIC.12 FRENCH.6 {{0x6c,0x63,0x5f,0x5f}, 0x09000645}, // lc__ GERMAN.12 Japanese.4 {{0x6c,0x69,0x5f,0x5f}, 0x1600063d}, // li__ GERMAN.11 LITHUANIAN.7 {{0x6c,0x73,0x5f,0x5f}, 0x00005742}, // ls__ SESOTHO.12 {{0x6c,0x74,0x5f,0x5f}, 0x00001642}, // lt__ LITHUANIAN.12 {{0x6c,0x75,0x5f,0x5f}, 0x0600053d}, // lu__ FRENCH.11 GERMAN.7 {{0x6c,0x76,0x5f,0x5f}, 0x00001542}, // lv__ LATVIAN.12 {{0x6c,0x79,0x5f,0x5f}, 0x05003744}, // ly__ ARABIC.12 FRENCH.3 {{0x6d,0x61,0x5f,0x5f}, 0x3700053d}, // ma__ FRENCH.11 ARABIC.7 {{0x6d,0x63,0x5f,0x5f}, 0x00000542}, // mc__ FRENCH.12 {{0x6d,0x64,0x5f,0x5f}, 0x00001724}, // md__ ROMANIAN.9 {{0x6d,0x65,0x5f,0x5f}, 0x00001d42}, // me__ CROATIAN.12 {{0x6d,0x67,0x5f,0x5f}, 0x00000542}, // mg__ FRENCH.12 {{0x6d,0x6b,0x5f,0x5f}, 0x1c002543}, // mk__ MACEDONIAN.12 BULGARIAN.2 {{0x6d,0x6c,0x5f,0x5f}, 0x00000542}, // ml__ FRENCH.12 {{0x6d,0x6e,0x5f,0x5f}, 0x00006142}, // mn__ MONGOLIAN.12 {{0x6d,0x6f,0x5f,0x5f}, 0x110d4631}, // mo__ ChineseT.10 PORTUGUESE.8 Chinese.5 {{0x6d,0x71,0x5f,0x5f}, 0x00000542}, // mq__ FRENCH.12 {{0x6d,0x72,0x5f,0x5f}, 0x37000535}, // mr__ FRENCH.10 ARABIC.9 {{0x6d,0x73,0x5f,0x5f}, 0x090f06d5}, // ms__ GERMAN.11 SPANISH.5 Japanese.3 {{0x6d,0x74,0x5f,0x5f}, 0x00004242}, // mt__ MALTESE.12 {{0x6d,0x75,0x5f,0x5f}, 0x05000934}, // mu__ Japanese.10 FRENCH.8 {{0x6d,0x76,0x5f,0x5f}, 0x28000436}, // mv__ FINNISH.10 LATIN.10 {{0x6d,0x77,0x5f,0x5f}, 0x0611092a}, // mw__ Japanese.9 Chinese.8 GERMAN.7 {{0x6d,0x78,0x5f,0x5f}, 0x00000f42}, // mx__ SPANISH.12 {{0x6d,0x79,0x5f,0x5f}, 0x00002942}, // my__ MALAY.12 {{0x6d,0x7a,0x5f,0x5f}, 0x00000d42}, // mz__ PORTUGUESE.12 {{0x6e,0x61,0x5f,0x5f}, 0x06006644}, // na__ AFRIKAANS.12 GERMAN.3 {{0x6e,0x63,0x5f,0x5f}, 0x00000542}, // nc__ FRENCH.12 {{0x6e,0x65,0x5f,0x5f}, 0x8b000542}, // ne__ FRENCH.12 HAUSA.1 {{0x6e,0x66,0x5f,0x5f}, 0x00000542}, // nf__ FRENCH.12 {{0x6e,0x69,0x5f,0x5f}, 0x00000f42}, // ni__ SPANISH.12 {{0x6e,0x6c,0x5f,0x5f}, 0x00000342}, // nl__ DUTCH.12 {{0x6e,0x6f,0x5f,0x5f}, 0x51000b43}, // no__ NORWEGIAN.12 NORWEGIAN_N.2 {{0x6e,0x75,0x5f,0x5f}, 0x0300103b}, // nu__ SWEDISH.11 DUTCH.5 {{0x6f,0x6d,0x5f,0x5f}, 0x00003742}, // om__ ARABIC.12 {{0x70,0x61,0x5f,0x5f}, 0x00000f42}, // pa__ SPANISH.12 {{0x70,0x65,0x5f,0x5f}, 0x00000f42}, // pe__ SPANISH.12 {{0x70,0x66,0x5f,0x5f}, 0x00000542}, // pf__ FRENCH.12 {{0x70,0x67,0x5f,0x5f}, 0x00000f24}, // pg__ SPANISH.9 {{0x70,0x68,0x5f,0x5f}, 0x00002142}, // ph__ TAGALOG.12 {{0x70,0x6b,0x5f,0x5f}, 0x00003342}, // pk__ URDU.12 {{0x70,0x6c,0x5f,0x5f}, 0x30000c42}, // pl__ POLISH.12 BELARUSIAN.1 {{0x70,0x6e,0x5f,0x5f}, 0x04000644}, // pn__ GERMAN.12 FINNISH.3 {{0x70,0x72,0x5f,0x5f}, 0x00000f42}, // pr__ SPANISH.12 {{0x70,0x72,0x6f,0x5f}, 0x46050fd5}, // pro_ SPANISH.11 FRENCH.5 ChineseT.3 {{0x70,0x73,0x5f,0x5f}, 0x00003742}, // ps__ ARABIC.12 {{0x70,0x74,0x5f,0x5f}, 0x00000d42}, // pt__ PORTUGUESE.12 {{0x70,0x79,0x5f,0x5f}, 0x00000f42}, // py__ SPANISH.12 {{0x71,0x61,0x5f,0x5f}, 0x00003742}, // qa__ ARABIC.12 {{0x72,0x65,0x5f,0x5f}, 0x00000542}, // re__ FRENCH.12 {{0x72,0x6f,0x5f,0x5f}, 0x00001742}, // ro__ ROMANIAN.12 {{0x72,0x73,0x5f,0x5f}, 0x00001d42}, // rs__ CROATIAN.12 {{0x72,0x77,0x5f,0x5f}, 0x9000053e}, // rw__ FRENCH.11 KINYARWANDA.8 {{0x73,0x61,0x5f,0x5f}, 0x00003742}, // sa__ ARABIC.12 {{0x73,0x62,0x5f,0x5f}, 0x00000442}, // sb__ FINNISH.12 {{0x73,0x63,0x5f,0x5f}, 0x060f092f}, // sc__ Japanese.10 SPANISH.7 GERMAN.3 {{0x73,0x64,0x5f,0x5f}, 0x00003742}, // sd__ ARABIC.12 {{0x73,0x65,0x5f,0x5f}, 0x00001042}, // se__ SWEDISH.12 {{0x73,0x69,0x5f,0x5f}, 0x00004042}, // si__ SLOVENIAN.12 {{0x73,0x6b,0x5f,0x5f}, 0x12004543}, // sk__ SLOVAK.12 CZECH.2 {{0x73,0x6d,0x5f,0x5f}, 0x00000842}, // sm__ ITALIAN.12 {{0x73,0x6e,0x5f,0x5f}, 0x00000542}, // sn__ FRENCH.12 {{0x73,0x72,0x5f,0x5f}, 0x03001e44}, // sr__ SERBIAN.12 DUTCH.3 {{0x73,0x76,0x5f,0x5f}, 0x00000f42}, // sv__ SPANISH.12 {{0x73,0x79,0x5f,0x5f}, 0x00003742}, // sy__ ARABIC.12 {{0x74,0x63,0x5f,0x5f}, 0x0a2206cd}, // tc__ GERMAN.10 TURKISH.6 Korean.5 {{0x74,0x66,0x5f,0x5f}, 0x00000642}, // tf__ GERMAN.12 {{0x74,0x67,0x5f,0x5f}, 0x00000542}, // tg__ FRENCH.12 {{0x74,0x68,0x5f,0x5f}, 0x9e0936c9}, // th__ THAI.10 Japanese.3 SCOTS.1 {{0x74,0x6a,0x5f,0x5f}, 0x00007924}, // tj__ TAJIK.9 {{0x74,0x6c,0x5f,0x5f}, 0x060f0dcd}, // tl__ PORTUGUESE.10 SPANISH.6 GERMAN.5 {{0x74,0x6e,0x5f,0x5f}, 0x3700053e}, // tn__ FRENCH.11 ARABIC.8 {{0x74,0x6f,0x5f,0x5f}, 0x064609c5}, // to__ Japanese.9 ChineseT.7 GERMAN.6 {{0x74,0x70,0x5f,0x5f}, 0x06000944}, // tp__ Japanese.12 GERMAN.3 {{0x74,0x72,0x5f,0x5f}, 0x00002242}, // tr__ TURKISH.12 {{0x74,0x72,0x61,0x76}, 0x064509c3}, // trav Japanese.9 SLOVAK.5 GERMAN.4 {{0x74,0x74,0x5f,0x5f}, 0x0f00063e}, // tt__ GERMAN.11 SPANISH.8 {{0x74,0x77,0x5f,0x5f}, 0x00004642}, // tw__ ChineseT.12 {{0x74,0x7a,0x5f,0x5f}, 0x00003f42}, // tz__ SWAHILI.12 {{0x75,0x61,0x5f,0x5f}, 0x0000232d}, // ua__ UKRAINIAN.10 {{0x75,0x79,0x5f,0x5f}, 0x00000f42}, // uy__ SPANISH.12 {{0x75,0x7a,0x5f,0x5f}, 0x0000492d}, // uz__ UZBEK.10 {{0x76,0x61,0x5f,0x5f}, 0x060f0828}, // va__ ITALIAN.9 SPANISH.7 GERMAN.5 {{0x76,0x63,0x5f,0x5f}, 0x0d000939}, // vc__ Japanese.11 PORTUGUESE.3 {{0x76,0x65,0x5f,0x5f}, 0x00000f42}, // ve__ SPANISH.12 {{0x76,0x67,0x5f,0x5f}, 0x09000f43}, // vg__ SPANISH.12 Japanese.2 {{0x76,0x69,0x5f,0x5f}, 0x00002942}, // vi__ MALAY.12 {{0x76,0x6e,0x5f,0x5f}, 0x00004342}, // vn__ VIETNAMESE.12 {{0x76,0x75,0x5f,0x5f}, 0x00000642}, // vu__ GERMAN.12 {{0x77,0x73,0x5f,0x5f}, 0x4b0f0624}, // ws__ GERMAN.9 SPANISH.5 AZERBAIJANI.1 {{0x79,0x65,0x5f,0x5f}, 0x00003742}, // ye__ ARABIC.12 {{0x79,0x75,0x5f,0x5f}, 0x1e001d3d}, // yu__ CROATIAN.11 SERBIAN.7 {{0x7a,0x61,0x5f,0x5f}, 0x00006642}, // za__ AFRIKAANS.12 {{0x7a,0x6d,0x5f,0x5f}, 0x0b000435}, // zm__ FINNISH.10 NORWEGIAN.9 {{0x7a,0x77,0x5f,0x5f}, 0x3f00783e}, // zw__ SHONA.11 SWAHILI.8 }; // Statistically closest language, based on quadgram table // Those that are far from other languges map to UNKNOWN_LANGUAGE // Subscripted by Language // // From lang_correlation.txt and hand-edits // sed 's/^\([^ ]*\) \([^ ]*\) coef=0\.\(..\).*$/ // (\3 >= kMinCorrPercent) ? \2 : UNKNOWN_LANGUAGE, // \/\/ \1/' lang_correlation.txt >/tmp/closest_lang_decl.txt // static const int kMinCorrPercent = 24; // Pick off how close you want // 24 catches PERSIAN <== ARABIC // but not SPANISH <== PORTUGESE static Language Unknown = UNKNOWN_LANGUAGE; // Subscripted by Language static const Language kClosestAltLanguage[] = { (28 >= kMinCorrPercent) ? SCOTS : UNKNOWN_LANGUAGE, // ENGLISH (36 >= kMinCorrPercent) ? NORWEGIAN : UNKNOWN_LANGUAGE, // DANISH (31 >= kMinCorrPercent) ? AFRIKAANS : UNKNOWN_LANGUAGE, // DUTCH (15 >= kMinCorrPercent) ? ESTONIAN : UNKNOWN_LANGUAGE, // FINNISH (11 >= kMinCorrPercent) ? OCCITAN : UNKNOWN_LANGUAGE, // FRENCH (17 >= kMinCorrPercent) ? LUXEMBOURGISH : UNKNOWN_LANGUAGE, // GERMAN (27 >= kMinCorrPercent) ? YIDDISH : UNKNOWN_LANGUAGE, // HEBREW (16 >= kMinCorrPercent) ? CORSICAN : UNKNOWN_LANGUAGE, // ITALIAN ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // Japanese ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // Korean (41 >= kMinCorrPercent) ? NORWEGIAN_N : UNKNOWN_LANGUAGE, // NORWEGIAN ( 5 >= kMinCorrPercent) ? SLOVAK : UNKNOWN_LANGUAGE, // POLISH (23 >= kMinCorrPercent) ? SPANISH : UNKNOWN_LANGUAGE, // PORTUGUESE (33 >= kMinCorrPercent) ? BULGARIAN : UNKNOWN_LANGUAGE, // RUSSIAN (28 >= kMinCorrPercent) ? GALICIAN : UNKNOWN_LANGUAGE, // SPANISH (17 >= kMinCorrPercent) ? NORWEGIAN : UNKNOWN_LANGUAGE, // SWEDISH ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // Chinese (42 >= kMinCorrPercent) ? SLOVAK : UNKNOWN_LANGUAGE, // CZECH ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // GREEK (35 >= kMinCorrPercent) ? FAROESE : UNKNOWN_LANGUAGE, // ICELANDIC ( 7 >= kMinCorrPercent) ? LITHUANIAN : UNKNOWN_LANGUAGE, // LATVIAN ( 7 >= kMinCorrPercent) ? LATVIAN : UNKNOWN_LANGUAGE, // LITHUANIAN ( 4 >= kMinCorrPercent) ? LATIN : UNKNOWN_LANGUAGE, // ROMANIAN ( 4 >= kMinCorrPercent) ? SLOVAK : UNKNOWN_LANGUAGE, // HUNGARIAN (15 >= kMinCorrPercent) ? FINNISH : UNKNOWN_LANGUAGE, // ESTONIAN ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // Ignore ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // Unknown (33 >= kMinCorrPercent) ? RUSSIAN : UNKNOWN_LANGUAGE, // BULGARIAN ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // CROATIAN ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // SERBIAN (24 >= kMinCorrPercent) ? SCOTS_GAELIC : UNKNOWN_LANGUAGE, // IRISH (28 >= kMinCorrPercent) ? SPANISH : UNKNOWN_LANGUAGE, // GALICIAN ( 8 >= kMinCorrPercent) ? INDONESIAN : UNKNOWN_LANGUAGE, // TAGALOG (29 >= kMinCorrPercent) ? AZERBAIJANI : UNKNOWN_LANGUAGE, // TURKISH (28 >= kMinCorrPercent) ? RUSSIAN : UNKNOWN_LANGUAGE, // UKRAINIAN (37 >= kMinCorrPercent) ? MARATHI : UNKNOWN_LANGUAGE, // HINDI (29 >= kMinCorrPercent) ? BULGARIAN : UNKNOWN_LANGUAGE, // MACEDONIAN (14 >= kMinCorrPercent) ? ASSAMESE : UNKNOWN_LANGUAGE, // BENGALI (46 >= kMinCorrPercent) ? MALAY : UNKNOWN_LANGUAGE, // INDONESIAN ( 9 >= kMinCorrPercent) ? INTERLINGUA : UNKNOWN_LANGUAGE, // LATIN (46 >= kMinCorrPercent) ? INDONESIAN : UNKNOWN_LANGUAGE, // MALAY ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // MALAYALAM ( 4 >= kMinCorrPercent) ? BRETON : UNKNOWN_LANGUAGE, // WELSH ( 8 >= kMinCorrPercent) ? HINDI : UNKNOWN_LANGUAGE, // NEPALI ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // TELUGU ( 3 >= kMinCorrPercent) ? ESPERANTO : UNKNOWN_LANGUAGE, // ALBANIAN ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // TAMIL (22 >= kMinCorrPercent) ? UKRAINIAN : UNKNOWN_LANGUAGE, // BELARUSIAN (15 >= kMinCorrPercent) ? SUNDANESE : UNKNOWN_LANGUAGE, // JAVANESE (19 >= kMinCorrPercent) ? CATALAN : UNKNOWN_LANGUAGE, // OCCITAN (27 >= kMinCorrPercent) ? PERSIAN : UNKNOWN_LANGUAGE, // URDU (36 >= kMinCorrPercent) ? HINDI : UNKNOWN_LANGUAGE, // BIHARI ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // GUJARATI ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // THAI (24 >= kMinCorrPercent) ? PERSIAN : UNKNOWN_LANGUAGE, // ARABIC (19 >= kMinCorrPercent) ? OCCITAN : UNKNOWN_LANGUAGE, // CATALAN ( 4 >= kMinCorrPercent) ? LATIN : UNKNOWN_LANGUAGE, // ESPERANTO ( 3 >= kMinCorrPercent) ? GERMAN : UNKNOWN_LANGUAGE, // BASQUE ( 9 >= kMinCorrPercent) ? LATIN : UNKNOWN_LANGUAGE, // INTERLINGUA ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // KANNADA ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // PUNJABI (24 >= kMinCorrPercent) ? IRISH : UNKNOWN_LANGUAGE, // SCOTS_GAELIC ( 7 >= kMinCorrPercent) ? KINYARWANDA : UNKNOWN_LANGUAGE, // SWAHILI (28 >= kMinCorrPercent) ? SERBO_CROATIAN : UNKNOWN_LANGUAGE, // SLOVENIAN (37 >= kMinCorrPercent) ? HINDI : UNKNOWN_LANGUAGE, // MARATHI ( 3 >= kMinCorrPercent) ? ITALIAN : UNKNOWN_LANGUAGE, // MALTESE ( 1 >= kMinCorrPercent) ? YORUBA : UNKNOWN_LANGUAGE, // VIETNAMESE (15 >= kMinCorrPercent) ? DUTCH : UNKNOWN_LANGUAGE, // FRISIAN (42 >= kMinCorrPercent) ? CZECH : UNKNOWN_LANGUAGE, // SLOVAK // Original ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // ChineseT (24 >= kMinCorrPercent) ? CHINESE : UNKNOWN_LANGUAGE, // ChineseT (35 >= kMinCorrPercent) ? ICELANDIC : UNKNOWN_LANGUAGE, // FAROESE (15 >= kMinCorrPercent) ? JAVANESE : UNKNOWN_LANGUAGE, // SUNDANESE (17 >= kMinCorrPercent) ? TAJIK : UNKNOWN_LANGUAGE, // UZBEK ( 7 >= kMinCorrPercent) ? TIGRINYA : UNKNOWN_LANGUAGE, // AMHARIC (29 >= kMinCorrPercent) ? TURKISH : UNKNOWN_LANGUAGE, // AZERBAIJANI ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // GEORGIAN ( 7 >= kMinCorrPercent) ? AMHARIC : UNKNOWN_LANGUAGE, // TIGRINYA (27 >= kMinCorrPercent) ? URDU : UNKNOWN_LANGUAGE, // PERSIAN ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // BOSNIAN ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // SINHALESE (41 >= kMinCorrPercent) ? NORWEGIAN : UNKNOWN_LANGUAGE, // NORWEGIAN_N ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // PORTUGUESE_P ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // PORTUGUESE_B (37 >= kMinCorrPercent) ? ZULU : UNKNOWN_LANGUAGE, // XHOSA (37 >= kMinCorrPercent) ? XHOSA : UNKNOWN_LANGUAGE, // ZULU ( 2 >= kMinCorrPercent) ? SPANISH : UNKNOWN_LANGUAGE, // GUARANI (29 >= kMinCorrPercent) ? TSWANA : UNKNOWN_LANGUAGE, // SESOTHO ( 7 >= kMinCorrPercent) ? TURKISH : UNKNOWN_LANGUAGE, // TURKMEN ( 8 >= kMinCorrPercent) ? KAZAKH : UNKNOWN_LANGUAGE, // KYRGYZ ( 5 >= kMinCorrPercent) ? FRENCH : UNKNOWN_LANGUAGE, // BRETON ( 3 >= kMinCorrPercent) ? GANDA : UNKNOWN_LANGUAGE, // TWI (27 >= kMinCorrPercent) ? HEBREW : UNKNOWN_LANGUAGE, // YIDDISH (28 >= kMinCorrPercent) ? SLOVENIAN : UNKNOWN_LANGUAGE, // SERBO_CROATIAN (12 >= kMinCorrPercent) ? OROMO : UNKNOWN_LANGUAGE, // SOMALI ( 9 >= kMinCorrPercent) ? UZBEK : UNKNOWN_LANGUAGE, // UIGHUR (15 >= kMinCorrPercent) ? PERSIAN : UNKNOWN_LANGUAGE, // KURDISH ( 6 >= kMinCorrPercent) ? KYRGYZ : UNKNOWN_LANGUAGE, // MONGOLIAN ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // ARMENIAN ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // LAOTHIAN ( 8 >= kMinCorrPercent) ? URDU : UNKNOWN_LANGUAGE, // SINDHI (10 >= kMinCorrPercent) ? ITALIAN : UNKNOWN_LANGUAGE, // RHAETO_ROMANCE (31 >= kMinCorrPercent) ? DUTCH : UNKNOWN_LANGUAGE, // AFRIKAANS (17 >= kMinCorrPercent) ? GERMAN : UNKNOWN_LANGUAGE, // LUXEMBOURGISH ( 2 >= kMinCorrPercent) ? SCOTS : UNKNOWN_LANGUAGE, // BURMESE ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // KHMER (45 >= kMinCorrPercent) ? DZONGKHA : UNKNOWN_LANGUAGE, // TIBETAN ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // DHIVEHI ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // CHEROKEE ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // SYRIAC ( 8 >= kMinCorrPercent) ? DUTCH : UNKNOWN_LANGUAGE, // LIMBU ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // ORIYA (14 >= kMinCorrPercent) ? BENGALI : UNKNOWN_LANGUAGE, // ASSAMESE (16 >= kMinCorrPercent) ? ITALIAN : UNKNOWN_LANGUAGE, // CORSICAN ( 5 >= kMinCorrPercent) ? INTERLINGUA : UNKNOWN_LANGUAGE, // INTERLINGUE ( 8 >= kMinCorrPercent) ? KYRGYZ : UNKNOWN_LANGUAGE, // KAZAKH ( 4 >= kMinCorrPercent) ? SWAHILI : UNKNOWN_LANGUAGE, // LINGALA (11 >= kMinCorrPercent) ? RUSSIAN : UNKNOWN_LANGUAGE, // MOLDAVIAN (19 >= kMinCorrPercent) ? PERSIAN : UNKNOWN_LANGUAGE, // PASHTO ( 5 >= kMinCorrPercent) ? AYMARA : UNKNOWN_LANGUAGE, // QUECHUA ( 5 >= kMinCorrPercent) ? KINYARWANDA : UNKNOWN_LANGUAGE, // SHONA (17 >= kMinCorrPercent) ? UZBEK : UNKNOWN_LANGUAGE, // TAJIK (13 >= kMinCorrPercent) ? BASHKIR : UNKNOWN_LANGUAGE, // TATAR (11 >= kMinCorrPercent) ? SAMOAN : UNKNOWN_LANGUAGE, // TONGA ( 2 >= kMinCorrPercent) ? TWI : UNKNOWN_LANGUAGE, // YORUBA ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // CREOLES_AND_PIDGINS_ENGLISH_BASED ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // CREOLES_AND_PIDGINS_FRENCH_BASED ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // CREOLES_AND_PIDGINS_PORTUGUESE_BASED ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // CREOLES_AND_PIDGINS_OTHER ( 6 >= kMinCorrPercent) ? TONGA : UNKNOWN_LANGUAGE, // MAORI ( 3 >= kMinCorrPercent) ? OROMO : UNKNOWN_LANGUAGE, // WOLOF ( 1 >= kMinCorrPercent) ? MONGOLIAN : UNKNOWN_LANGUAGE, // ABKHAZIAN ( 8 >= kMinCorrPercent) ? SOMALI : UNKNOWN_LANGUAGE, // AFAR ( 5 >= kMinCorrPercent) ? QUECHUA : UNKNOWN_LANGUAGE, // AYMARA (13 >= kMinCorrPercent) ? TATAR : UNKNOWN_LANGUAGE, // BASHKIR ( 3 >= kMinCorrPercent) ? ENGLISH : UNKNOWN_LANGUAGE, // BISLAMA (45 >= kMinCorrPercent) ? TIBETAN : UNKNOWN_LANGUAGE, // DZONGKHA ( 4 >= kMinCorrPercent) ? TONGA : UNKNOWN_LANGUAGE, // FIJIAN ( 7 >= kMinCorrPercent) ? INUPIAK : UNKNOWN_LANGUAGE, // GREENLANDIC ( 3 >= kMinCorrPercent) ? AFAR : UNKNOWN_LANGUAGE, // HAUSA ( 3 >= kMinCorrPercent) ? OCCITAN : UNKNOWN_LANGUAGE, // HAITIAN_CREOLE ( 7 >= kMinCorrPercent) ? GREENLANDIC : UNKNOWN_LANGUAGE, // INUPIAK ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // INUKTITUT ( 4 >= kMinCorrPercent) ? HINDI : UNKNOWN_LANGUAGE, // KASHMIRI (30 >= kMinCorrPercent) ? RUNDI : UNKNOWN_LANGUAGE, // KINYARWANDA ( 2 >= kMinCorrPercent) ? TAGALOG : UNKNOWN_LANGUAGE, // MALAGASY (17 >= kMinCorrPercent) ? GERMAN : UNKNOWN_LANGUAGE, // NAURU (12 >= kMinCorrPercent) ? SOMALI : UNKNOWN_LANGUAGE, // OROMO (30 >= kMinCorrPercent) ? KINYARWANDA : UNKNOWN_LANGUAGE, // RUNDI (11 >= kMinCorrPercent) ? TONGA : UNKNOWN_LANGUAGE, // SAMOAN ( 1 >= kMinCorrPercent) ? LINGALA : UNKNOWN_LANGUAGE, // SANGO (32 >= kMinCorrPercent) ? MARATHI : UNKNOWN_LANGUAGE, // SANSKRIT (16 >= kMinCorrPercent) ? ZULU : UNKNOWN_LANGUAGE, // SISWANT ( 5 >= kMinCorrPercent) ? SISWANT : UNKNOWN_LANGUAGE, // TSONGA (29 >= kMinCorrPercent) ? SESOTHO : UNKNOWN_LANGUAGE, // TSWANA ( 2 >= kMinCorrPercent) ? ESTONIAN : UNKNOWN_LANGUAGE, // VOLAPUK ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // ZHUANG ( 1 >= kMinCorrPercent) ? MALAY : UNKNOWN_LANGUAGE, // KHASI (28 >= kMinCorrPercent) ? ENGLISH : UNKNOWN_LANGUAGE, // SCOTS (15 >= kMinCorrPercent) ? KINYARWANDA : UNKNOWN_LANGUAGE, // GANDA ( 7 >= kMinCorrPercent) ? ENGLISH : UNKNOWN_LANGUAGE, // MANX ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // MONTENEGRIN }; COMPILE_ASSERT(arraysize(kClosestAltLanguage) == NUM_LANGUAGES, kClosestAltLanguage_has_incorrect_size); inline bool FlagFinish(int flags) {return (flags & kCLDFlagFinish) != 0;} inline bool FlagSqueeze(int flags) {return (flags & kCLDFlagSqueeze) != 0;} inline bool FlagRepeats(int flags) {return (flags & kCLDFlagRepeats) != 0;} inline bool FlagTop40(int flags) {return (flags & kCLDFlagTop40) != 0;} inline bool FlagShort(int flags) {return (flags & kCLDFlagShort) != 0;} inline bool FlagHint(int flags) {return (flags & kCLDFlagHint) != 0;} inline bool FlagUseWords(int flags) {return (flags & kCLDFlagUseWords) != 0;} //------------------------------------------------------------------------------ // For --cld_html debugging output. Not thread safe //------------------------------------------------------------------------------ static Language prior_lang = UNKNOWN_LANGUAGE; static bool prior_unreliable = false; //------------------------------------------------------------------------------ // End For --cld_html debugging output //------------------------------------------------------------------------------ // Backscan to word boundary, returning how many bytes n to go back // so that src - n is non-space ans src - n - 1 is space. // If not found in kMaxSpaceScan bytes, return 0 int BackscanToSpace(const char* src, int limit) { int n = 0; limit = cld::minint(limit, kMaxSpaceScan); while (n < limit) { if (src[-n - 1] == ' ') {return n;} // We are at _X ++n; } return 0; } // Forwardscan to word boundary, returning how many bytes n to go forward // so that src + n is non-space ans src + n - 1 is space. // If not found in kMaxSpaceScan bytes, return 0 int ForwardscanToSpace(const char* src, int limit) { int n = 0; limit = cld::minint(limit, kMaxSpaceScan); while (n < limit) { if (src[n] == ' ') {return n + 1;} // We are at _X ++n; } return 0; } // This uses a cheap predictor to get a measure of compression, and // hence a measure of repetitiveness. It works on complete UTF-8 characters // instead of bytes, because three-byte UTF-8 Indic, etc. text compress highly // all the time when done with a byte-based count. Sigh. // // To allow running prediction across multiple chunks, caller passes in current // 12-bit hash value and int[4096] prediction table. Caller inits these to 0. // // Returns the number of *bytes* correctly predicted, increments by 1..4 for // each correctly-predicted character. // // NOTE: Overruns by up to three bytes. Not a problem with valid UTF-8 text // int CountPredictedBytes(const char* isrc, int srclen, int* hash, int* tbl) { int p_count = 0; const uint8* src = reinterpret_cast(isrc); const uint8* srclimit = src + srclen; int local_hash = *hash; while (src < srclimit) { int c = src[0]; int incr = 1; // Pick up one char and length if (c < 0xc0) { // One-byte or continuation byte: 00xxxxxx 01xxxxxx 10xxxxxx // Do nothing more } else if ((c & 0xe0) == 0xc0) { // Two-byte c = (c << 8) | src[1]; incr = 2; } else if ((c & 0xf0) == 0xe0) { // Three-byte c = (c << 16) | (src[1] << 8) | src[2]; incr = 3; } else { // Four-byte c = (c << 24) | (src[1] << 16) | (src[2] << 8) | src[3]; incr = 4; } src += incr; int p = tbl[local_hash]; // Prediction tbl[local_hash] = c; // Update prediction p_count += (c == p); // Count good predictions local_hash = ((local_hash << 4) ^ c) & 0xfff; } *hash = local_hash; return p_count; } // Counts number of spaces; a little faster than one-at-a-time // Doesn't count odd bytes at end int CountSpaces4(const char* src, int src_len) { int s_count = 0; for (int i = 0; i < (src_len & ~3); i += 4) { s_count += (src[i] == ' '); s_count += (src[i+1] == ' '); s_count += (src[i+2] == ' '); s_count += (src[i+3] == ' '); } return s_count; } // Remove words of text that have more than half their letters predicted // correctly by our cheap predictor, moving the remaining words in-place // to the front of the input buffer. // // To allow running prediction across multiple chunks, caller passes in current // 12-bit hash value and int[4096] prediction table. Caller inits these to 0. // // Return the new, possibly-shorter length // // Result Buffer ALWAYS has leading space and trailing space space space NUL, // if input does // int CheapRepWordsInplace(char* isrc, int srclen, int* hash, int* tbl) { const uint8* src = reinterpret_cast(isrc); const uint8* srclimit = src + srclen; char* dst = isrc; int local_hash = *hash; char* word_dst = dst; // Start of next word int good_predict_bytes = 0; int word_length_bytes = 0; while (src < srclimit) { int c = src[0]; int incr = 1; *dst++ = c; if (c == ' ') { if ((good_predict_bytes * 2) > word_length_bytes) { // Word is well-predicted: backup to start of this word dst = word_dst; if (FLAGS_cld_showme) { // Mark the deletion point with period // Don't repeat multiple periods // Cannot mark with more bytes or may overwrite unseen input if ((isrc < (dst - 2)) && (dst[-2] != '.')) { *dst++ = '.'; *dst++ = ' '; } } } word_dst = dst; // Start of next word good_predict_bytes = 0; word_length_bytes = 0; } // Pick up one char and length if (c < 0xc0) { // One-byte or continuation byte: 00xxxxxx 01xxxxxx 10xxxxxx // Do nothing more } else if ((c & 0xe0) == 0xc0) { // Two-byte *dst++ = src[1]; c = (c << 8) | src[1]; incr = 2; } else if ((c & 0xf0) == 0xe0) { // Three-byte *dst++ = src[1]; *dst++ = src[2]; c = (c << 16) | (src[1] << 8) | src[2]; incr = 3; } else { // Four-byte *dst++ = src[1]; *dst++ = src[2]; *dst++ = src[3]; c = (c << 24) | (src[1] << 16) | (src[2] << 8) | src[3]; incr = 4; } src += incr; word_length_bytes += incr; int p = tbl[local_hash]; // Prediction tbl[local_hash] = c; // Update prediction if (c == p) { good_predict_bytes += incr; // Count good predictions } local_hash = ((local_hash << 4) ^ c) & 0xfff; } *hash = local_hash; if ((dst - isrc) < (srclen - 3)) { // Pad and make last char clean UTF-8 by putting following spaces dst[0] = ' '; dst[1] = ' '; dst[2] = ' '; dst[3] = '\0'; } else if ((dst - isrc) < srclen) { // Make last char clean UTF-8 by putting following space off the end dst[0] = ' '; } return static_cast(dst - isrc); } // Remove portions of text that have a high density of spaces, or that are // overly repetitive, squeezing the remaining text in-place to the front of the // input buffer. // // Squeezing looks at density of space/prediced chars in fixed-size chunks, // specified by chunksize. A chunksize <= 0 uses the default size of 48 bytes. // // Return the new, possibly-shorter length // // Result Buffer ALWAYS has leading space and trailing space space space NUL, // if input does // int CompactLangDetImpl::CheapSqueezeInplace(char* isrc, int srclen, int ichunksize) { char* src = isrc; char* dst = src; char* srclimit = src + srclen; bool skipping = false; int hash = 0; // Allocate local prediction table. int* predict_tbl = new int[kPredictionTableSize]; memset(predict_tbl, 0, kPredictionTableSize * sizeof(predict_tbl[0])); int chunksize = ichunksize; if (chunksize == 0) {chunksize = kChunksizeDefault;} int space_thresh = (chunksize * kSpacesThreshPercent) / 100; int predict_thresh = (chunksize * kPredictThreshPercent) / 100; while (src < srclimit) { int remaining_bytes = srclimit - src; int len = cld::minint(chunksize, remaining_bytes); int space_n = CountSpaces4(src, len); int predb_n = CountPredictedBytes(src, len, &hash, predict_tbl); if ((space_n >= space_thresh) || (predb_n >= predict_thresh)) { // Skip the text if (!skipping) { // Keeping-to-skipping transition; do it at a space int n = BackscanToSpace(dst, static_cast(dst - isrc)); dst -= n; skipping = true; if (FLAGS_cld_showme) { // Mark the deletion point with black square U+25A0 *dst++ = 0xe2; *dst++ = 0x96; *dst++ = 0xa0; *dst++ = ' '; } if (dst == isrc) { // Force a leading space if the first chunk is deleted *dst++ = ' '; } } } else { // Keep the text if (skipping) { // Skipping-to-keeping transition; do it at a space int n = ForwardscanToSpace(src, len); src += n; remaining_bytes -= n; // Shrink remaining length len -= n; skipping = false; } // "len" can be negative in some cases if (len > 0) { memcpy(dst, src, len); dst += len; } } src += len; } if ((dst - isrc) < (srclen - 3)) { // Pad and make last char clean UTF-8 by putting following spaces dst[0] = ' '; dst[1] = ' '; dst[2] = ' '; dst[3] = '\0'; } else if ((dst - isrc) < srclen) { // Make last char clean UTF-8 by putting following space off the end dst[0] = ' '; } // Deallocate local prediction table delete[] predict_tbl; return static_cast(dst - isrc); } // Timing 2.8GHz P4 (dsites 2008.03.20) with 170KB input // About 90 MB/sec, with or without memcpy, chunksize 48 or 4096 // Just CountSpaces is about 340 MB/sec // Byte-only CountPredictedBytes is about 150 MB/sec // Byte-only CountPredictedBytes, conditional tbl[] = is about 85! MB/sec // Byte-only CountPredictedBytes is about 180 MB/sec, byte tbl, byte/int c // Unjammed byte-only both = 170 MB/sec // Jammed byte-only both = 120 MB/sec // Back to original w/slight updates, 110 MB/sec // bool CheapSqueezeTriggerTest(const char* src, int srclen, int testsize) { // Don't trigger at all on short text if (srclen < testsize) {return false;} int space_thresh = (testsize * kSpacesTriggerPercent) / 100; int predict_thresh = (testsize * kPredictTriggerPercent) / 100; int hash = 0; // Allocate local prediction table. int* predict_tbl = new int[kPredictionTableSize]; memset(predict_tbl, 0, kPredictionTableSize * sizeof(predict_tbl[0])); bool retval = false; if ((CountSpaces4(src, testsize) >= space_thresh) || (CountPredictedBytes(src, testsize, &hash, predict_tbl) >= predict_thresh)) { retval = true; } // Deallocate local prediction table delete[] predict_tbl; return retval; } // Close pairs (correlation) language_enum/language_enum // id/ms (0.47) 38/40 [1] // bo/dz (0.46) 105/135 [2] // cz/sk (0.43) 17/68 [3] // no/nn (0.42) 10/80 [4] // hi/mr (0.38) 35/64 [5] // xh/zu (0.37) 83/84 [6] // Subscripted by packed language, gives 0 or a subscript in closepair // scoring array inside doc_tote static const uint8 kClosePair[EXT_NUM_LANGUAGES + 1] = { 0, 0,0,0,0,0,0,0,0, 0,0,4,0,0,0,0,0, 0,3,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,5,0,0,1,0, 1,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 5,0,0,0,3,0,0,0, 0,0,0,0,0,0,0,0, 4,0,0,6,6,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,2,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,2, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, // Add new language close-pair number just before here (just use 0) }; // Delete any extended languages from doc_tote void RemoveExtendedLanguages(ToteWithReliability* doc_tote) { for (int sub = 0; sub < doc_tote->MaxSize(); ++sub) { if (cld::UnpackLanguage(doc_tote->Key(sub)) >= NUM_LANGUAGES) { // Effectively remove the extended language by setting key&score to zero if (FLAGS_dbgscore) { fprintf(stderr, "{-%s} ", ExtLanguageCode(cld::UnpackLanguage(doc_tote->Key(sub)))); } // Delete entry doc_tote->SetKey(sub, 0); doc_tote->SetValue(sub, 0); doc_tote->SetReliability(sub, 0); } } } static const int kMinReliableKeepPercent = 41; // Remove lang if reli < this // For Tier3 languages, require a minimum number of bytes to be first-place lang static const int kGoodFirstT3MinBytes = 24; // no first // Move bytes for unreliable langs to another lang or UNKNOWN // doc_tote is sorted, so cannot Add // // If both CHINESE and CHINESET are present and unreliable, do not delete both; // merge both into CHINESE. // //dsites 2009.03.19 // we also want to remove Tier3 languages as the first lang if there is very // little text like ej1 ej2 ej3 ej4 // maybe fold this back in earlier // void RemoveUnreliableLanguages(ToteWithReliability* doc_tote, bool do_remove_weak_matches) { // Prepass to merge some low-reliablility languages int total_bytes = 0; for (int sub = 0; sub < doc_tote->MaxSize(); ++sub) { int plang = doc_tote->Key(sub); if (plang == 0) {continue;} // Empty slot Language lang = cld::UnpackLanguage(plang); int bytes = doc_tote->Value(sub); int reli = doc_tote->Reliability(sub); if (bytes == 0) {continue;} // Zero bytes total_bytes += bytes; // Reliable percent is stored reliable score over stored bytecount int reliable_percent = reli / bytes; if (reliable_percent >= kMinReliableKeepPercent) {continue;} // Keeper // This language is too unreliable to keep, but we might merge it. Language altlang = UNKNOWN_LANGUAGE; if (lang < NUM_LANGUAGES) {altlang = kClosestAltLanguage[lang];} if (altlang == UNKNOWN_LANGUAGE) {continue;} // No alternative // Look for alternative in doc_tote int altsub = doc_tote->Find(cld::PackLanguage(altlang)); if (altsub < 0) {continue;} // No alternative text int bytes2 = doc_tote->Value(altsub); int reli2 = doc_tote->Reliability(altsub); if (bytes2 == 0) {continue;} // Zero bytes // Reliable percent is stored reliable score over stored bytecount int reliable_percent2 = reli2 / bytes2; // Merge one language into the other. Break ties toward lower lang # int tosub = altsub; int fromsub = sub; bool into_lang = false; if ((reliable_percent2 < reliable_percent) || ((reliable_percent2 == reliable_percent) && (lang < altlang))) { tosub = sub; fromsub = altsub; into_lang = true; } // Make sure reliability doesn't drop and is enough to avoid delete int newpercent = cld::maxint(reliable_percent, reliable_percent2); newpercent = cld::maxint(newpercent, kMinReliableKeepPercent); int newbytes = bytes + bytes2; int newreli = newpercent * newbytes; doc_tote->SetKey(fromsub, 0); doc_tote->SetValue(fromsub, 0); doc_tote->SetReliability(fromsub, 0); doc_tote->SetValue(tosub, newbytes); doc_tote->SetReliability(tosub, newreli); // Show fate of unreliable languages if at least 10 bytes if (FLAGS_cld_html /*&& (newpercent >= 10)*/ && (newbytes >= 10)) { if (into_lang) { fprintf(stderr, "{Unreli %s.%d(%dB) => %s} ", ExtLanguageCode(altlang), reliable_percent2, bytes2, ExtLanguageCode(lang)); } else { fprintf(stderr, "{Unreli %s.%d(%dB) => %s} ", ExtLanguageCode(lang), reliable_percent, bytes, ExtLanguageCode(altlang)); } } } if (do_remove_weak_matches) { // Pass to delete any remaining unreliable languages for (int sub = 0; sub < doc_tote->MaxSize(); ++sub) { int plang = doc_tote->Key(sub); if (plang == 0) {continue;} // Empty slot Language lang = cld::UnpackLanguage(plang); int bytes = doc_tote->Value(sub); int reli = doc_tote->Reliability(sub); if (bytes == 0) {continue;} // Zero bytes bool is_tier3 = (cld::kIsPackedTop40[plang] == 0); if (is_tier3 && (bytes < kGoodFirstT3MinBytes) && (bytes < total_bytes)) { reli = 0; // Too-short tier3 } // Reliable percent is stored as reliable score over stored bytecount int reliable_percent = reli / bytes; if (reliable_percent >= kMinReliableKeepPercent) {continue;} // Keeper // Delete unreliable entry doc_tote->SetKey(sub, 0); doc_tote->SetValue(sub, 0); doc_tote->SetReliability(sub, 0); // Show fate of unreliable languages if at least 10 bytes if (FLAGS_cld_html /*&& (reliable_percent >= 10)*/ && (bytes >= 10)) { fprintf(stderr, "{Unreli %s.%d(%dB)} ", ExtLanguageCode(lang), reliable_percent, bytes); } } } if (FLAGS_cld_html) {fprintf(stderr, "
\n");} } // Move less likely byte count to more likely for close pairs of languages void RefineScoredClosePairs(ToteWithReliability* doc_tote) { for (int sub = 0; sub < doc_tote->MaxSize(); ++sub) { int close_packedlang = doc_tote->Key(sub); int subscr = kClosePair[close_packedlang]; if (subscr == 0) {continue;} // We have a close pair language -- if the other one is also scored and the // longword score differs enough, put all our eggs into one basket // Nonzero longword score: Go look for the other of this pair for (int sub2 = sub + 1; sub2 < doc_tote->MaxSize(); ++sub2) { if (kClosePair[doc_tote->Key(sub2)] == subscr) { // We have a matching pair int close_packedlang2 = doc_tote->Key(sub2); // Move all the text bytes from lower byte-count to higher one int from_sub, to_sub; Language from_lang, to_lang; if (doc_tote->Value(sub) < doc_tote->Value(sub2)) { from_sub = sub; to_sub = sub2; from_lang = cld::UnpackLanguage(close_packedlang); to_lang = cld::UnpackLanguage(close_packedlang2); } else { from_sub = sub2; to_sub = sub; from_lang = cld::UnpackLanguage(close_packedlang2); to_lang = cld::UnpackLanguage(close_packedlang); } // Move all the bytes smaller => larger of the pair if (FLAGS_cld_html || FLAGS_dbgscore) { // Show fate of closepair language int val = doc_tote->Value(from_sub); int reli = doc_tote->Reliability(from_sub); int reliable_percent = reli / (val ? val : 1); // avoid zdiv fprintf(stderr, "{CloseLangPair: %s.%d%%(%dB) => %s} ", ExtLanguageCode(from_lang), reliable_percent, doc_tote->Value(from_sub), ExtLanguageCode(to_lang)); } int sum = doc_tote->Value(to_sub) + doc_tote->Value(from_sub); doc_tote->SetValue(to_sub, sum); doc_tote->SetReliability(to_sub, 100 * sum); // Delete old entry doc_tote->SetKey(from_sub, 0); doc_tote->SetValue(from_sub, 0); doc_tote->SetReliability(from_sub, 0); break; // Exit inner for sub2 loop } } // End for sub2 } // End for sub } void ApplyLanguageHints(Tote* chunk_tote, int tote_grams, uint8* lang_hint_boost) { // Need 8 quad/unigrams to give full hint boost, else derate linearly if (tote_grams > 8) { tote_grams = 8; } for (int sub = 0; sub < chunk_tote->MaxSize(); ++sub) { // Hint boosts are per packed subscript int lang_sub = chunk_tote->Key(sub); int new_value = chunk_tote->Value(sub) + ((lang_hint_boost[lang_sub] * tote_grams) >> 3); chunk_tote->SetValue(sub, new_value); if (FLAGS_dbgscore && (lang_hint_boost[lang_sub] > 0)) { fprintf(stderr, "[%s+=%d*%d/8] ", ExtLanguageCode(cld::UnpackLanguage(lang_sub)), lang_hint_boost[lang_sub], tote_grams); } } } void PrintHtmlEscapedText(FILE* f, const char* txt, int len) { for (int i = 0; i < len; ++i) { char c = txt[i]; if (c == '<') { fprintf(f, "<"); } else if (c == '>') { fprintf(f, ">"); } else if (c == '&') { fprintf(f, "&"); } else if (c == '\'') { fprintf(f, "'"); } else if (c == '"') { fprintf(f, """); } else { fprintf(f, "%c", c); } } fprintf(f, "
\n"); } // Add one chunk's score to running document score // If the top language is UNKNOWN_LANGUAGE, score nothing. This is used to // positively identify text to be ignored, such as link farms. // Sort before scoring and reinit afterward // // src and srclen are just for debug output void ScoreChunkIntoDoc(const char* src, int srclen, int advance_by, UnicodeLScript lscript, Tote* chunk_tote, ToteWithReliability* doc_tote, int tote_grams, uint8* lang_hint_boost) { // Apply hints before sorting if (lang_hint_boost) { ApplyLanguageHints(chunk_tote, tote_grams, lang_hint_boost); } // Sort to get top two languages chunk_tote->Sort(2); Language cur_lang = cld::UnpackLanguage(chunk_tote->Key(0)); // Return if empty if (cur_lang < 0) { chunk_tote->Reinit(); return; } bool cur_unreliable = false; // Reliability is a function of mean script score per KB of text int len = chunk_tote->GetByteCount(); int reliability = cld::GetReliability((len * 2) / advance_by, lscript, chunk_tote); cur_unreliable = (reliability < cld::kMinReliable); // If tote_grams=0, always reliable // If tote_grams=1, always unreliable if (tote_grams == 0) { reliability = 100; cur_unreliable = false; } else if (tote_grams == 1) { reliability = 0; cur_unreliable = true; } #if 0 // TEMP if (FLAGS_cld_html) { if (reliability >= kMinReliableKeepPercent) { fprintf(stderr, "R%d%% ", reliability); } else { fprintf(stderr, "--R%d%% ", reliability); } } #endif // Track the sequence of language fragments [result currently unused] ////if (reliability >= kMinReliableSeq) { //// doc_tote->AddSeq(chunk_tote->Key(0)); ////} if (cur_unreliable && (chunk_tote->Key(1) != 0)) { // Unreliable and two top contenders, split byte count 5/8 - 3/8 int top_len = ((len * 5) + 4) >> 3; int second_len = len - top_len; doc_tote->Add(chunk_tote->Key(0), top_len, chunk_tote->Value(0), reliability); doc_tote->Add(chunk_tote->Key(1), second_len, chunk_tote->Value(1), reliability); if (FLAGS_dbgscore) { fprintf(stderr, "{+%s.%d.%dR(%dB) +%s.%d.%dR(%dB)} ", ExtLanguageCode(cld::UnpackLanguage(chunk_tote->Key(0))), chunk_tote->Value(0), reliability, top_len, ExtLanguageCode(cld::UnpackLanguage(chunk_tote->Key(1))), chunk_tote->Value(1), reliability, second_len); } } else { // Reliable or single contender doc_tote->Add(chunk_tote->Key(0), len, chunk_tote->Value(0), reliability); if (FLAGS_dbgscore) { fprintf(stderr, "{+%s.%d.%dR(%dB)} ", ExtLanguageCode(cld::UnpackLanguage(chunk_tote->Key(0))), chunk_tote->Value(0), reliability, len); } } if (FLAGS_cld_html) { if (cur_lang < 0) {cur_lang = UNKNOWN_LANGUAGE;} cld::PrintLang(stderr, chunk_tote, cur_lang, cur_unreliable, prior_lang, prior_unreliable); prior_lang = cur_lang; prior_unreliable = cur_unreliable; string temp(src, srclen); if (temp[0] == '=') { // Rewrite =ScriptX= or =SwitchX= as =Xxxx= for script code Xxxx temp = "=Buffered_"; temp.append(UnicodeLScriptCode(lscript)); temp.append("="); } cld::PrintText(stderr, cur_lang, temp); } chunk_tote->Reinit(); } void PrintTopLang(Language top_lang) { if ((top_lang == prior_lang) && (top_lang != UNKNOWN_LANGUAGE)) { fprintf(stderr, "[] "); } else { fprintf(stderr, "[%s] ", ExtLanguageName(top_lang)); prior_lang = top_lang; } } void PrintTopLangSpeculative(Language top_lang) { fprintf(stderr, "", 0xa0a0a0); if ((top_lang == prior_lang) && (top_lang != UNKNOWN_LANGUAGE)) { fprintf(stderr, "[] "); } else { fprintf(stderr, "[%s] ", ExtLanguageName(top_lang)); prior_lang = top_lang; } fprintf(stderr, "\n"); } // Add one chunk's score to running document score // Convenience function with constant src text void ScoreChunkIntoDoc2(const char* src, int advance_by, UnicodeLScript lscript, Tote* chunk_tote, ToteWithReliability* doc_tote, int tote_grams, uint8* lang_hint_boost) { int srclen = static_cast(strlen(src)); ScoreChunkIntoDoc(src, srclen, advance_by, lscript, chunk_tote, doc_tote, tote_grams, lang_hint_boost); } // Score one scriptspan using the only language for that script void ScoreNilgrams(getone::LangSpan* scriptspan, int lang, ToteWithReliability* doc_tote, uint8* lang_hint_boost, int flags, Language plus_one) { // For debugging only. Not thread-safe prior_lang = UNKNOWN_LANGUAGE; prior_unreliable = false; const char* src = scriptspan->text; int len = scriptspan->text_bytes; Tote chunk_tote; // Score 1000 for 1000 bytes chunk_tote.AddGram(); chunk_tote.Add(lang, scriptspan->text_bytes); chunk_tote.AddBytes(scriptspan->text_bytes); int advance_by = 2; int tote_grams = 0; // Indicates fully reliable ScoreChunkIntoDoc(src, len, advance_by, scriptspan->script, &chunk_tote, doc_tote, tote_grams, lang_hint_boost); } // Score one scriptspan using unigrams // Updates tote_grams static void ScoreUnigrams(const UTF8PropObj* unigram_obj, getone::LangSpan* scriptspan, int* tote_grams, int gram_limit, Tote* chunk_tote, ToteWithReliability* doc_tote, uint8* lang_hint_boost, int advance_by, int flags, int* initial_word_span, Language plus_one) { // chunk_tote may have partial sum coming in const char* src = scriptspan->text; const char* srclimit = src + scriptspan->text_bytes; // For debugging only. Not thread-safe prior_lang = UNKNOWN_LANGUAGE; prior_unreliable = false; // Break text up into multiple chunks and score each while (src < srclimit) { // Updates tote_grams int len = cld::DoUniScoreV3(unigram_obj, src, srclimit - src, advance_by, tote_grams, gram_limit, chunk_tote); if (FlagUseWords(flags) || (*initial_word_span > 0)) { // Use bigram scoring in addition to quadgrams cld::DoBigramScoreV3(&kCjkBiTable_obj, src, len, chunk_tote); } chunk_tote->AddBytes(len); *initial_word_span -= len; if (*tote_grams >= gram_limit) { // Add this chunk to doc totals // Remove all but top40 if asked if (FlagTop40(flags)) { cld::DemoteNotTop40(chunk_tote, cld::PackLanguage(plus_one)); } // Sort, accumulate into doc total, reinit ScoreChunkIntoDoc(src, len, advance_by, scriptspan->script, chunk_tote, doc_tote, *tote_grams, lang_hint_boost); *tote_grams = 0; } else { if (FLAGS_cld_html) { string temp(src, len); Language top_lang = cld::UnpackLanguage(chunk_tote->CurrentTopKey()); PrintTopLangSpeculative(top_lang); cld::PrintText(stderr, top_lang, temp); } } src += len; } // chunk_tote may have partial sum going out } // Back up one UTF-8 character const uint8* BackOneUTF8(const uint8* p) { const uint8* retval = p - 1; if ((*retval & 0xc0) == 0x80) {--retval;} if ((*retval & 0xc0) == 0x80) {--retval;} if ((*retval & 0xc0) == 0x80) {--retval;} return retval; } // Score one scriptspan using quadgrams // Incoming chunk_tote may have partial accumulation static void ScoreQuadgrams(const cld::CLDTableSummary* quadgram_obj, getone::LangSpan* scriptspan, int* tote_grams, int gram_limit, Tote* chunk_tote, ToteWithReliability* doc_tote, uint8* lang_hint_boost, int advance_by, int flags, int* initial_word_span, Language plus_one) { // chunk_tote may have partial sum coming in const char* src = scriptspan->text; const char* srclimit = src + scriptspan->text_bytes; const char* lastscored_src = src; // For debugging only. Not thread-safe prior_lang = UNKNOWN_LANGUAGE; prior_unreliable = false; // Break text up into multiple chunks and score each while (src < srclimit) { // Updates tote_grams int len = cld::DoQuadScoreV3(quadgram_obj, src, srclimit - src, advance_by, tote_grams, gram_limit, chunk_tote); if (FlagUseWords(flags) || (*initial_word_span > 0)) { // Use word scoring in addition to quadgrams cld::DoOctaScoreV3(&kLongWord8Table_obj, src, len, chunk_tote); } chunk_tote->AddBytes(len); *initial_word_span -= len; if (*tote_grams >= gram_limit) { // Remove all but top40 if asked if (FlagTop40(flags)) { cld::DemoteNotTop40(chunk_tote, cld::PackLanguage(plus_one)); } // Sort, accumulate into doc total, reinit ScoreChunkIntoDoc(src, len, advance_by, scriptspan->script, chunk_tote, doc_tote, *tote_grams, lang_hint_boost); lastscored_src = src + len; *tote_grams = 0; } else { if (FLAGS_cld_html) { string temp(src, len); Language top_lang = cld::UnpackLanguage(chunk_tote->CurrentTopKey()); PrintTopLangSpeculative(top_lang); cld::PrintText(stderr, top_lang, temp); } } src += len; } } void PrintLangs(FILE* f, const Language* language3, const int* percent3, const int* text_bytes, const bool* is_reliable) { fprintf(f, "
  Initial_Languages "); if (language3[0] != UNKNOWN_LANGUAGE) { fprintf(f, "%s%s(%d%%) ", ExtLanguageName(language3[0]), *is_reliable ? "" : "*", percent3[0]); } if (language3[1] != UNKNOWN_LANGUAGE) { fprintf(f, "%s(%d%%) ", ExtLanguageName(language3[1]), percent3[1]); } if (language3[2] != UNKNOWN_LANGUAGE) { fprintf(f, "%s(%d%%) ", ExtLanguageName(language3[2]), percent3[2]); } fprintf(f, "%d bytes \n", *text_bytes); fprintf(f, "
\n"); } // Start the tote with a count of one for the default language for script void InitScriptToteLang(Tote* script_tote, UnicodeLScript lscript) { Language defaultlang = cld::kDefaultLanguagePerLScript[lscript]; script_tote->Add(cld::PackLanguage(defaultlang), 1); script_tote->AddBytes(1); #if 0 if (FLAGS_cld_html) { cld::PrintLang(stderr, script_tote, defaultlang, false, UNKNOWN_LANGUAGE, false); prior_lang = cur_lang; string temp("+1"); cld::PrintText(stderr, defaultlang, temp); } #endif } static const char* const kToteName[4] = {"=Latn=", "=Hani=", "=Script2=", "=Script3="}; static const char* const kToteSwitch[4] = {"=Latn=", "=Hani=", "=Switch2=", "=Switch3="}; // Upper to lower, keep digits, everything else to minus '-' (2d) static const char kCharsetToLowerTbl[256] = { 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x30,0x31,0x32,0x33,0x34,0x35,0x36,0x37, 0x38,0x39,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x61,0x62,0x63,0x64,0x65,0x66,0x67, 0x68,0x69,0x6a,0x6b,0x6c,0x6d,0x6e,0x6f, 0x70,0x71,0x72,0x73,0x74,0x75,0x76,0x77, 0x78,0x79,0x7a,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x61,0x62,0x63,0x64,0x65,0x66,0x67, 0x68,0x69,0x6a,0x6b,0x6c,0x6d,0x6e,0x6f, 0x70,0x71,0x72,0x73,0x74,0x75,0x76,0x77, 0x78,0x79,0x7a,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, }; static const char kIsAlpha[256] = { 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, 1,1,1,0,0,0,0,0, 0,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, 1,1,1,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, }; static const char kIsDigit[256] = { 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 1,1,1,1,1,1,1,1, 1,1,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, }; // Normalize ASCII string to first 4 alphabetic/digit chars // Letters are forced to lowercase ASCII // Used to normalize TLD values void MakeChar4(const char* str, char* norm) { memcpy(norm, "____", 4); // four underscores int l_ptr = 0; for (int i = 0; i < strlen(str); ++i) { uint8 uc = static_cast(str[i]); if (kIsAlpha[uc] | kIsDigit[uc]) { if (l_ptr < 4) { // Else ignore norm[l_ptr] = kCharsetToLowerTbl[uc]; l_ptr++; } } } } // Find subscript of matching key in first 4 bytes of sorted hint array, or -1 static int HintBinaryLookup4(const HintEntry* hintprobs, int hintprobssize, const char* norm_key) { // Key is always in range [lo..hi) int lo = 0; int hi = hintprobssize; while (lo < hi) { int mid = (lo + hi) >> 1; int comp = memcmp(&hintprobs[mid].key[0], norm_key, 4); if (comp < 0) { lo = mid + 1; } else if (comp > 0) { hi = mid; } else { return mid; } } return -1; } // Increment the initial probabilities based on a per-TLD probs entry void ApplyTLDHint(uint8* lang_hint_boost, const char* tld_hint) { if (FLAGS_dbgscore) { fprintf(stderr, "TLD hint %s\n", tld_hint); } char normalized_tld[8]; MakeChar4(tld_hint, normalized_tld); int n = HintBinaryLookup4(kTLDHintProbs, kTLDHintProbsSize, normalized_tld); // TLD is four bytes, probability entry is 4 bytes if (n >= 0) { uint32 probs = kTLDHintProbs[n].probs; uint8 prob123 = (probs >> 0) & 0xff; const uint8* prob123_entry = cld::LgProb2TblEntry(prob123); uint8 top1 = (probs >> 8) & 0xff; if (top1 > 0) {lang_hint_boost[top1] += cld::LgProb3(prob123_entry, 0);} uint8 top2 = (probs >> 16) & 0xff; if (top2 > 0) {lang_hint_boost[top2] += cld::LgProb3(prob123_entry, 1);} uint8 top3 = (probs >> 24) & 0xff; if (top3 > 0) {lang_hint_boost[top3] += cld::LgProb3(prob123_entry, 2);} } } // Increment the initial probabilities based on a per-encoding probs entry void ApplyEncodingHint(uint8* lang_hint_boost, int encoding_hint) { if (FLAGS_dbgscore) { Encoding tempenc = static_cast(encoding_hint); fprintf(stderr, "ENC hint %s\n", EncodingName(tempenc)); } if (encoding_hint < ISO_8859_1) {return;} if (encoding_hint >= NUM_ENCODINGS) {return;} uint32 probs = kEncodingHintProbs[encoding_hint]; uint8 prob123 = (probs >> 0) & 0xff; const uint8* prob123_entry = cld::LgProb2TblEntry(prob123); uint8 top1 = (probs >> 8) & 0xff; if (top1 > 0) {lang_hint_boost[top1] += cld::LgProb3(prob123_entry, 0);} uint8 top2 = (probs >> 16) & 0xff; if (top2 > 0) {lang_hint_boost[top2] += cld::LgProb3(prob123_entry, 1);} uint8 top3 = (probs >> 24) & 0xff; if (top3 > 0) {lang_hint_boost[top3] += cld::LgProb3(prob123_entry, 2);} } // Increment the initial probability for given language by fixed amount // Does not recognize extended languages as hints void ApplyLanguageHint(uint8* lang_hint_boost, Language language_hint) { if (FLAGS_dbgscore) { fprintf(stderr, "LANG hint %s\n", ExtLanguageName(language_hint)); } if (language_hint < ENGLISH) {return;} if (language_hint >= NUM_LANGUAGES) {return;} uint32 probs = kLanguageHintProbs[language_hint]; uint8 prob123 = (probs >> 0) & 0xff; const uint8* prob123_entry = cld::LgProb2TblEntry(prob123); uint8 top1 = (probs >> 8) & 0xff; if (top1 > 0) {lang_hint_boost[top1] += cld::LgProb3(prob123_entry, 0);} uint8 top2 = (probs >> 16) & 0xff; if (top2 > 0) {lang_hint_boost[top2] += cld::LgProb3(prob123_entry, 1);} uint8 top3 = (probs >> 24) & 0xff; if (top3 > 0) {lang_hint_boost[top3] += cld::LgProb3(prob123_entry, 2);} } // Extract return values before fixups void ExtractLangEtc(ToteWithReliability* doc_tote, int total_text_bytes, int* reliable_percent3, Language* language3, int* percent3, double* normalized_score3, int* text_bytes, bool* is_reliable) { reliable_percent3[0] = 0; reliable_percent3[1] = 0; reliable_percent3[2] = 0; language3[0] = UNKNOWN_LANGUAGE; language3[1] = UNKNOWN_LANGUAGE; language3[2] = UNKNOWN_LANGUAGE; percent3[0] = 100; percent3[1] = 0; percent3[2] = 0; normalized_score3[0] = 0.0; normalized_score3[1] = 0.0; normalized_score3[2] = 0.0; *text_bytes = total_text_bytes; *is_reliable = false; int bytecount1 = total_text_bytes; int bytecount2 = 0; int bytecount3 = 0; int lang1 = doc_tote->Key(0); if (lang1 != 0) { // We have a top language language3[0] = cld::UnpackLanguage(lang1); bytecount1 = doc_tote->Value(0); int reli1 = doc_tote->Reliability(0); reliable_percent3[0] = reli1 / (bytecount1 ? bytecount1 : 1); // avoid zdiv normalized_score3[0] = cld::GetNormalizedScore(language3[0], ULScript_Common, bytecount1, doc_tote->Score(0)); } int lang2 = doc_tote->Key(1); if (lang2 != 0) { language3[1] = cld::UnpackLanguage(lang2); bytecount2 = doc_tote->Value(1); int reli2 = doc_tote->Reliability(1); reliable_percent3[1] = reli2 / (bytecount2 ? bytecount2 : 1); // avoid zdiv normalized_score3[1] = cld::GetNormalizedScore(language3[1], ULScript_Common, bytecount2, doc_tote->Score(1)); } int lang3 = doc_tote->Key(2); if (lang3 != 0) { language3[2] = cld::UnpackLanguage(lang3); bytecount3 = doc_tote->Value(2); int reli3 = doc_tote->Reliability(2); reliable_percent3[2] = reli3 / (bytecount3 ? bytecount3 : 1); // avoid zdiv normalized_score3[2] = cld::GetNormalizedScore(language3[2], ULScript_Common, bytecount3, doc_tote->Score(2)); } // Increase total bytes to sum (top 3) if low for some reason int total_bytecount12 = bytecount1 + bytecount2; int total_bytecount123 = total_bytecount12 + bytecount3; if (total_text_bytes < total_bytecount123) { total_text_bytes = total_bytecount123; *text_bytes = total_text_bytes; } // Sum minus previous % gives better roundoff behavior than bytecount/total int total_text_bytes_div = cld::maxint(1, total_text_bytes); // Avoid zdiv percent3[0] = (bytecount1 * 100) / total_text_bytes_div; percent3[1] = (total_bytecount12 * 100) / total_text_bytes_div; percent3[2] = (total_bytecount123 * 100) / total_text_bytes_div; percent3[2] -= percent3[1]; percent3[1] -= percent3[0]; // Roundoff, say 96% 1.6% 1.4%, will produce non-obvious 96% 1% 2% // Fix this explicitly if (percent3[1] < percent3[2]) { ++percent3[1]; --percent3[2]; } if (percent3[0] < percent3[1]) { ++percent3[0]; --percent3[1]; } *text_bytes = total_text_bytes; if (lang1 != 0) { // We have a top language // Its reliability is overal result reliability int bytecount = doc_tote->Value(0); int reli = doc_tote->Reliability(0); int reliable_percent = reli / (bytecount ? bytecount : 1); // avoid zdiv *is_reliable = reliable_percent >= cld::kMinReliable; } else { // No top language at all. This can happen with zero text or 100% Klingon // if extended=false. Just return all UNKNOWN_LANGUAGE, reliable. *is_reliable = true; } } bool IsFIGS(Language lang) { if (lang == FRENCH) {return true;} if (lang == ITALIAN) {return true;} if (lang == GERMAN) {return true;} if (lang == SPANISH) {return true;} return false; } bool IsEFIGS(Language lang) { if (lang == ENGLISH) {return true;} if (lang == FRENCH) {return true;} if (lang == ITALIAN) {return true;} if (lang == GERMAN) {return true;} if (lang == SPANISH) {return true;} return false; } static const int kNonEnBoilerplateMinPercent = 17; // no second static const int kNonFIGSBoilerplateMinPercent = 20; // no second static const int kGoodFirstMinPercent = 26; // UNK static const int kGoodFirstReliableMinPercent = 51; // unreli static const int kIgnoreMaxPercent = 95; // >this => unreli static const int kKeepMinPercent = 2; // unreli // For Tier3 languages, require more bytes of text to override // the first-place language static const int kGoodSecondT1T2MinBytes = 15; // no second static const int kGoodSecondT3MinBytes = 128; // no second // // Calculate a single summary language for the document, and its reliability. // Returns language3[0] or language3[1] or ENGLISH or UNKNOWN_LANGUAGE // This is the heart of matching human-rater perception. // reliable_percent3[] is currently unused // // Do not return Tier3 second language unless there are at least 128 bytes void CalcSummaryLang(ToteWithReliability* doc_tote, int total_text_bytes, const int* reliable_percent3, const Language* language3, const int* percent3, Language* summary_lang, bool* is_reliable) { // Vector of active languages; changes if we delete some int slot_count = 3; int active_slot[3] = {0, 1, 2}; int ignore_percent = 0; int return_percent = percent3[0]; // Default to top lang *summary_lang = language3[0]; *is_reliable = true; if (percent3[0] < kKeepMinPercent) {*is_reliable = false;} // If any of top 3 is IGNORE, remove it and increment ignore_percent for (int i = 0; i < 3; ++i) { if (language3[i] == TG_UNKNOWN_LANGUAGE) { ignore_percent += percent3[i]; // Move the rest up, levaing input vectors unchanged for (int j=i+1; j < 3; ++j) { active_slot[j - 1] = active_slot[j]; } -- slot_count; // Logically remove Ignore from percentage-text calculation // (extra 1 in 101 avoids zdiv, biases slightly small) return_percent = (percent3[0] * 100) / (101 - ignore_percent); *summary_lang = language3[active_slot[0]]; if (percent3[active_slot[0]] < kKeepMinPercent) {*is_reliable = false;} } } // If English and X, where X (not UNK) is big enough, // assume the English is boilerplate and return X. // Logically remove English from percentage-text calculation int second_bytes = (total_text_bytes * percent3[active_slot[1]]) / 100; // Require more bytes of text for Tier3 languages int minbytesneeded = kGoodSecondT1T2MinBytes; int plang_second = cld::PackLanguage(language3[active_slot[1]]); bool is_tier3 = (cld::kIsPackedTop40[plang_second] == 0); if (is_tier3) { minbytesneeded = kGoodSecondT3MinBytes; } if ((language3[active_slot[0]] == ENGLISH) && (language3[active_slot[1]] != ENGLISH) && (language3[active_slot[1]] != UNKNOWN_LANGUAGE) && (percent3[active_slot[1]] >= kNonEnBoilerplateMinPercent) && (second_bytes >= minbytesneeded)) { ignore_percent += percent3[active_slot[0]]; return_percent = (percent3[active_slot[1]] * 100) / (101 - ignore_percent); *summary_lang = language3[active_slot[1]]; if (percent3[active_slot[1]] < kKeepMinPercent) {*is_reliable = false;} // Else If FIGS and X, where X (not UNK, EFIGS) is big enough, // assume the FIGS is boilerplate and return X. // Logically remove FIGS from percentage-text calculation } else if (IsFIGS(language3[active_slot[0]]) && !IsEFIGS(language3[active_slot[1]]) && (language3[active_slot[1]] != UNKNOWN_LANGUAGE) && (percent3[active_slot[1]] >= kNonFIGSBoilerplateMinPercent) && (second_bytes >= minbytesneeded)) { ignore_percent += percent3[active_slot[0]]; return_percent = (percent3[active_slot[1]] * 100) / (101 - ignore_percent); *summary_lang = language3[active_slot[1]]; if (percent3[active_slot[1]] < kKeepMinPercent) {*is_reliable = false;} // Else we are returning the first language, but want to improve its // return_percent if the second language should be ignored } else if ((language3[active_slot[1]] == ENGLISH) && (language3[active_slot[0]] != ENGLISH)) { ignore_percent += percent3[active_slot[1]]; return_percent = (percent3[active_slot[0]] * 100) / (101 - ignore_percent); } else if (IsFIGS(language3[active_slot[1]]) && !IsEFIGS(language3[active_slot[0]])) { ignore_percent += percent3[active_slot[1]]; return_percent = (percent3[active_slot[0]] * 100) / (101 - ignore_percent); } // If return percent is too small (too many languages), return UNKNOWN if ((return_percent < kGoodFirstMinPercent)) { *summary_lang = UNKNOWN_LANGUAGE; *is_reliable = false; } // If return percent is small, return language but set unreliable. if ((return_percent < kGoodFirstReliableMinPercent)) { *is_reliable = false; } // If ignore percent is too large, set unreliable. if ((ignore_percent > kIgnoreMaxPercent)) { *is_reliable = false; } // If we removed all the active languages, return UNKNOWN if (slot_count == 0) { *summary_lang = UNKNOWN_LANGUAGE; *is_reliable = false; } } // Result vector must be exactly three items Language CompactLangDetImpl::DetectLanguageSummaryV25( const CompactLangDet::DetectionTables* tables, const char* buffer, int buffer_length, bool is_plain_text, bool do_pick_summary_language, bool do_remove_weak_matches, const char* tld_hint, // "id" boosts Indonesian int encoding_hint, // SJS boosts Japanese Language language_hint, // ITALIAN boosts it bool allow_extended_lang, int flags, Language plus_one, Language* language3, int* percent3, double* normalized_score3, int* text_bytes, bool* is_reliable) { if (!tables) { static const CompactLangDet::DetectionTables default_cld_tables = { &kQuadTable_obj, &compact_lang_det_generated_ctjkvz_b1_obj }; tables = &default_cld_tables; } language3[0] = UNKNOWN_LANGUAGE; language3[1] = UNKNOWN_LANGUAGE; language3[2] = UNKNOWN_LANGUAGE; percent3[0] = 100; percent3[1] = 0; percent3[2] = 0; normalized_score3[0] = 0.0; normalized_score3[1] = 0.0; normalized_score3[2] = 0.0; *text_bytes = 0; *is_reliable = false; // Document totals ToteWithReliability doc_tote; // Reliability = 0..100 // Vector of packed per-language boosts (just one filled in from hints) uint8 lang_hint_boost[EXT_NUM_LANGUAGES + 1]; memset(lang_hint_boost, 0, sizeof(lang_hint_boost)); // Apply hints,if any if ((tld_hint != NULL) && (tld_hint[0] != '\0')) { ApplyTLDHint(lang_hint_boost, tld_hint); } if (encoding_hint != UNKNOWN_ENCODING) { ApplyEncodingHint(lang_hint_boost, encoding_hint); } if (language_hint != UNKNOWN_LANGUAGE) { ApplyLanguageHint(lang_hint_boost, language_hint); } // Four individual script totals, Latin, Han, other2, other3 int next_other_tote = 2; // Four totes for up to four different scripts pending at once Tote totes[4]; // [0] Latn [1] Hani [2] other [3] other bool tote_seen[4] = {false, false, false, false}; int tote_grams[4] = {0, 0, 0, 0}; // Number in partial chunk UnicodeLScript tote_script[4] = {ULScript_Latin, ULScript_HanCJK, ULScript_Common, ULScript_Common}; // Loop through text spans in a single script ScriptScanner ss(buffer, buffer_length, is_plain_text); getone::LangSpan scriptspan; scriptspan.text = NULL; scriptspan.text_bytes = 0; scriptspan.offset = 0; scriptspan.script = ULScript_Common; scriptspan.lang = UNKNOWN_LANGUAGE; int total_text_bytes = 0; int textlimit = FLAGS_cld_textlimit << 10; // in KB if (textlimit == 0) {textlimit = 0x7fffffff;} int advance_by = 2; // Advance 2 bytes int advance_limit = textlimit >> 3; // For first 1/8 of max document int initial_word_span = kDefaultWordSpan; if (FLAGS_cld_forcewords) { initial_word_span = kReallyBigWordSpan; } // Pick up chunk sizes // Smoothwidth is units of quadgrams, about 2.5 chars (unigrams) each // Sanity check -- force into a reasonable range int chunksizequads = FLAGS_cld_smoothwidth; chunksizequads = cld::minint(cld::maxint(chunksizequads, kMinChunkSizeQuads), kMaxChunkSizeQuads); int chunksizeunis = (chunksizequads * 5) >> 1; // Varying short-span limit doesn't work well -- skips too much beyond 20KB // int spantooshortlimit = advance_by * FLAGS_cld_smoothwidth; int spantooshortlimit = kShortSpanThresh; // For debugging only. Not thread-safe prior_lang = UNKNOWN_LANGUAGE; prior_unreliable = false; // Allocate full-document prediction table for finding repeating words int hash = 0; int* predict_tbl = new int[kPredictionTableSize]; if (FlagRepeats(flags)) { memset(predict_tbl, 0, kPredictionTableSize * sizeof(predict_tbl[0])); } // Loop through scriptspans accumulating number of text bytes in each language while (ss.GetOneScriptSpanLower(&scriptspan)) { UnicodeLScript lscript = scriptspan.script; // Echo text if asked to if (FLAGS_cld_echotext) { PrintHtmlEscapedText(stderr, scriptspan.text, scriptspan.text_bytes); } // Squeeze out big chunks of text span if asked to if (FlagSqueeze(flags)) { // Remove repetitive or mostly-spaces chunks int newlen; int chunksize = 0; // Use the default newlen = CheapSqueezeInplace(scriptspan.text, scriptspan.text_bytes, chunksize); scriptspan.text_bytes = newlen; } else { // Check now and then to see if we should be squeezing if ((total_text_bytes >= kCheapSqueezeTestThresh) && !FlagFinish(flags) && ((getone::kMaxScriptBuffer >> 1) < scriptspan.text_bytes) && CheapSqueezeTriggerTest(scriptspan.text, scriptspan.text_bytes, kCheapSqueezeTestLen)) { // Recursive call with big-chunk squeezing set if (FLAGS_cld_html || FLAGS_dbgscore) { fprintf(stderr, "
---text_bytes[%d] Recursive(Squeeze)---

\n", total_text_bytes); } // Deallocate full-document prediction table delete[] predict_tbl; return DetectLanguageSummaryV25( tables, buffer, buffer_length, is_plain_text, do_pick_summary_language, do_remove_weak_matches, tld_hint, // "id" boosts Indonesian encoding_hint, // SJS boosts Japanese language_hint, // ITALIAN boosts it allow_extended_lang, flags | kCLDFlagSqueeze, plus_one, language3, percent3, normalized_score3, text_bytes, is_reliable); } } // Remove repetitive words if asked to if (FlagRepeats(flags)) { // Remove repetitive words int newlen; newlen = CheapRepWordsInplace(scriptspan.text, scriptspan.text_bytes, &hash, predict_tbl); scriptspan.text_bytes = newlen; } // The real scoring // Accumulate directly into the document total, or accmulate in one of four // chunk totals. The purpose of the multiple chunk totals is to piece // together short choppy pieces of text in alternating scripts. One total is // dedicated to Latin text, one to Han text, and the other two are dynamicly // assigned. Language onlylang = cld::kOnlyLanguagePerLScript[lscript]; if (onlylang != UNKNOWN_LANGUAGE) { // This entire script run is in a single language. ScoreNilgrams(&scriptspan, cld::PackLanguage(onlylang), &doc_tote, lang_hint_boost, flags, plus_one); } else if (cld::kScoreUniPerLScript[lscript] != 0) { // This entire script run's languages can be distinguished by uni-grams // Accumulate in hani_tote int tote_num = 1; if (!tote_seen[tote_num]) { tote_seen[tote_num] = true; // Default language gets 1 byte total_text_bytes += 1; InitScriptToteLang(&totes[tote_num], lscript); } ScoreUnigrams(tables->unigram_obj, &scriptspan, &tote_grams[tote_num], chunksizeunis, &totes[tote_num], &doc_tote, lang_hint_boost, advance_by, flags, &initial_word_span, plus_one); } else { // This entire script-run's languages can be distinguished by quad-grams // Accumulate in latn_tote or script0/1_tote int tote_num = -1; for (int t = 0; t < 4; ++t) { if (lscript == tote_script[t]) { tote_num = t; break; } } if (tote_num < 0) { // Need to allocate other0/1 tote_num = next_other_tote; next_other_tote ^= 1; // Round-robin if (tote_seen[tote_num]) { // Flush previous ScoreChunkIntoDoc2(kToteSwitch[tote_num], advance_by, tote_script[tote_num], &totes[tote_num], &doc_tote, tote_grams[tote_num], lang_hint_boost); totes[tote_num].Reinit(); } tote_script[tote_num] = lscript; } if (!tote_seen[tote_num]) { tote_seen[tote_num] = true; // Default language gets 1 byte total_text_bytes += 1; InitScriptToteLang(&totes[tote_num], lscript); } // The actual accumulation, possibly with word scoring also ScoreQuadgrams(tables->quadgram_obj, &scriptspan, &tote_grams[tote_num], chunksizequads, &totes[tote_num], &doc_tote, lang_hint_boost, advance_by, flags, &initial_word_span, plus_one); } total_text_bytes += scriptspan.text_bytes; // For long documents, do less-dense samples the further along we go. // This is to keep speed sublinear in document size. if (total_text_bytes > advance_limit) { if (total_text_bytes > textlimit) { // Don't look at rest of doc if (FLAGS_cld_html || FLAGS_dbgscore) { fprintf(stderr, "
---text_bytes[%d] textlimit %d reached---
", total_text_bytes, textlimit); } break; } advance_by <<= 1; // Double advance bytes advance_limit <<= 1; // Double limit until next change spantooshortlimit <<= 1; // Double short-span size if (FLAGS_cld_html || FLAGS_dbgscore) { fprintf(stderr, "
---text_bytes[%d] advance_by doubled to %d---
", total_text_bytes, advance_by); } } } // End while (ss.GetOneScriptSpanLower()) // Deallocate full-document prediction table delete[] predict_tbl; // Flush pending totals for (int tote_num = 0; tote_num < 4; ++tote_num) { if (tote_seen[tote_num]) { ScoreChunkIntoDoc2(kToteName[tote_num], advance_by, tote_script[tote_num], &totes[tote_num], &doc_tote, tote_grams[tote_num], lang_hint_boost); } } // If extended languages are disallowed, remove them here if (!allow_extended_lang) { RemoveExtendedLanguages(&doc_tote); } // Force close pairs to one or the other RefineScoredClosePairs(&doc_tote); // Calculate return results // Find top three byte counts in tote heap int reliable_percent3[3]; // Cannot use Add, etc. after sorting doc_tote.Sort(3); ExtractLangEtc(&doc_tote, total_text_bytes, reliable_percent3, language3, percent3, normalized_score3, text_bytes, is_reliable); bool have_good_answer = false; if (FlagFinish(flags)) { // Force a result have_good_answer = true; } else if (total_text_bytes <= kShortTextThresh) { // Don't recurse on short text -- we already did word scores have_good_answer = true; } else if (*is_reliable && (percent3[0] >= kGoodLang1Percent)) { have_good_answer = true; } else if (*is_reliable && ((percent3[0] + percent3[1]) >= kGoodLang1and2Percent)) { have_good_answer = true; } if (have_good_answer) { // This is the real, non-recursive return // Move bytes for unreliable langs to another lang or // UNKNOWN RemoveUnreliableLanguages(&doc_tote, do_remove_weak_matches); // Redo the result extraction after the removal above doc_tote.Sort(3); ExtractLangEtc(&doc_tote, total_text_bytes, reliable_percent3, language3, percent3, normalized_score3, text_bytes, is_reliable); #if 0 // OLD code, replaced by CalcSummaryLang // // Suppress ignore-me text, TG_UNKNOWN_LANGUAGE if 2nd or 3rd language // Force it to English if first language if (language3[2] == TG_UNKNOWN_LANGUAGE) { reliable_percent3[2] = 0; language3[2] = UNKNOWN_LANGUAGE; percent3[2] = 0; } else if (language3[1] == TG_UNKNOWN_LANGUAGE) { // Move up lower language reliable_percent3[1] = reliable_percent3[2]; language3[1] = language3[2]; percent3[1] = percent3[2]; reliable_percent3[2] = 0; language3[2] = UNKNOWN_LANGUAGE; percent3[2] = 0; } else if (language3[0] == TG_UNKNOWN_LANGUAGE) { language3[0] = ENGLISH; } if (language3[0] == UNKNOWN_LANGUAGE) { // Last-ditch test for some result, but it is UNKNOWN_LANGUAGE // Force it to English (should not happen) language3[0] = ENGLISH; percent3[0] = 100; *is_reliable = true; } #endif #if 0 // Scaffolding to reveal subset sequence lang distribution across doc text // Track the sequence of language fragments [result currently unused] if (FLAGS_cld_html) { static const int kMaxSubsetSeq = 12; uint8 subseq[kMaxSubsetSeq]; doc_tote.ExtractSeq(kMaxSubsetSeq, subseq); fprintf(stderr, "
\nSubset Sequence[%d]: ", kMaxSubsetSeq); for (int i = 0; i < kMaxSubsetSeq; ++i) { fprintf(stderr, "%s ", ExtLanguageCode(cld::UnpackLanguage(subseq[i]))); if ((i % 4) == 3) {fprintf(stderr, "  ");} } fprintf(stderr, "   "); for (int i = 0; i < 3; ++i) { if (language3[i] != UNKNOWN_LANGUAGE) { fprintf(stderr, "%s.%d(%d%%) ", ExtLanguageCode(language3[i]), reliable_percent3[i], percent3[i]); } } fprintf(stderr, "%d B ", total_text_bytes); fprintf(stderr, "
\n"); } // End Scaffolding to reveal subset sequence lang distribution #endif Language summary_lang; if (do_pick_summary_language) { CalcSummaryLang(&doc_tote, total_text_bytes, reliable_percent3, language3, percent3, &summary_lang, is_reliable); } else { summary_lang = language3[0]; } if (FLAGS_cld_html) { for (int i = 0; i < 3; ++i) { if (language3[i] != UNKNOWN_LANGUAGE) { fprintf(stderr, "%s.%d(%d%%) ", ExtLanguageCode(language3[i]), reliable_percent3[i], percent3[i]); } } fprintf(stderr, "%d B ", total_text_bytes); fprintf(stderr, "= %s%c ", ExtLanguageName(summary_lang), is_reliable ? ' ' : '*'); fprintf(stderr, "
\n"); } return summary_lang; } // Not a good answer -- do recursive call to refine if (FLAGS_cld_html || FLAGS_dbgscore) { // This is what we hope to improve on in the recursive call, if any PrintLangs(stderr, language3, percent3, text_bytes, is_reliable); } // For restriction to Top40 + one, the one is 1st/2nd lang that is not Top40 // For this purpose, we treate "Ignore" as top40 Language new_plus_one = UNKNOWN_LANGUAGE; if (cld::kIsPackedTop40[cld::PackLanguage(language3[0])] == 0) { new_plus_one = language3[0]; } else if (cld::kIsPackedTop40[cld::PackLanguage(language3[1])] == 0) { new_plus_one = language3[1]; } if (total_text_bytes < kShortTextThresh) { // Short text: Recursive call with top40 and short set if (FLAGS_cld_html || FLAGS_dbgscore) { fprintf(stderr, "  ---text_bytes[%d] " "Recursive(Top40/Rep/Short/Words)---

\n", total_text_bytes); } return DetectLanguageSummaryV25( tables, buffer, buffer_length, is_plain_text, do_pick_summary_language, do_remove_weak_matches, tld_hint, // "id" boosts Indonesian encoding_hint, // SJS boosts Japanese language_hint, // ITALIAN boosts it allow_extended_lang, flags | kCLDFlagTop40 | kCLDFlagRepeats | kCLDFlagShort | kCLDFlagUseWords | kCLDFlagFinish, new_plus_one, language3, percent3, normalized_score3, text_bytes, is_reliable); } // Longer text: Recursive call with top40 set if (FLAGS_cld_html || FLAGS_dbgscore) { fprintf(stderr, "  ---text_bytes[%d] Recursive(Top40/Rep)---

\n", total_text_bytes); } return DetectLanguageSummaryV25( tables, buffer, buffer_length, is_plain_text, do_pick_summary_language, do_remove_weak_matches, tld_hint, // "id" boosts Indonesian encoding_hint, // SJS boosts Japanese language_hint, // ITALIAN boosts it allow_extended_lang, flags | kCLDFlagTop40 | kCLDFlagRepeats | kCLDFlagFinish, new_plus_one, language3, percent3, normalized_score3, text_bytes, is_reliable); } // End CompactLangDetImpl::DetectLanguageSummaryV25