README.md in embulk-output-bigquery-0.4.5 vs README.md in embulk-output-bigquery-0.4.6

@@ -47,11 +47,11 @@
 |  table                               | string      | required   |                          | table name, or table name with a partition decorator such as `table_name$20160929`|
 |  auto_create_dataset                 | boolean     | optional   | false                    | automatically create dataset |
 |  auto_create_table                   | boolean     | optional   | false                    | See [Dynamic Table Creating](#dynamic-table-creating) |
 |  schema_file                         | string      | optional   |                          | /path/to/schema.json |
 |  template_table                      | string      | optional   |                          | template table name. See [Dynamic Table Creating](#dynamic-table-creating) |
-|  prevent_duplicate_insert            | boolean     | optional   | false                    | See [Prevent Duplication] (#prevent-duplication) |
+|  prevent_duplicate_insert            | boolean     | optional   | false                    | See [Prevent Duplication](#prevent-duplication) |
 |  job_status_max_polling_time         | int         | optional   | 3600 sec                 | Max job status polling time |
 |  job_status_polling_interval         | int         | optional   | 10 sec                   | Job status polling interval |
 |  is_skip_job_result_check            | boolean     | optional   | false                    | Skip waiting Load job finishes. Available for append, or delete_in_advance mode | 
 |  with_rehearsal                      | boolean     | optional   | false                    | Load `rehearsal_counts` records as a rehearsal. Rehearsal loads into REHEARSAL temporary table, and delete finally. You may use this option to investigate data errors as early stage as possible |
 |  rehearsal_counts                    | integer     | optional   | 1000                     | Specify number of records to load in a rehearsal |
@@ -313,11 +313,11 @@
 embulk-output-bigquery supports formatting records into CSV or JSON (and also formatting timestamp column).
 However, this plugin is written in jruby, and jruby plugins are slower than java plugins generally.
 
 Therefore, it is recommended to format records with filter plugins written in Java such as [embulk-filter-to_json](https://github.com/civitaspo/embulk-filter-to_json) as:
 
-```
+```yaml
 filters:
   - type: to_json
     column: {name: payload, type: string}
     default_format: "%Y-%m-%d %H:%M:%S.%6N"
 out:
@@ -325,10 +325,10 @@
   payload_column_index: 0 # or, payload_column: payload
 ```
 
 Furtheremore, if your files are originally jsonl or csv files, you can even skip a parser with [embulk-parser-none](https://github.com/sonots/embulk-parser-none) as:
 
-```
+```yaml
 in:
   type: file
   path_prefix: example/example.jsonl
   parser:
     type: none