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The language detector stage uses OpenNLP (https://opennlp.apache.org/) and its language detector model to identify the language of a text block.
It can detect 103 languages outputting ISO 639-3 language codes. (https://opennlp.apache.org/news/model-langdetect-183.html)
It is important to note that the model works better with longer texts that have at least 2 sentences. So it is important to configure this stage earlier in the pipeline and before tokenizing the text.
Operates On: Lexical Items with TEXT_BLOCK flag.
Library: saga-lang-detector-stage
Git: https://source.digital.accenture.com/projects/ST/repos/saga-lang-detector-stage/browse
Generic Configuration Parameters
-
boundaryFlags ( type=string array
| optional
)
- List of vertex flags that indicate the beginning and end of a text block.
Tokens to process must be inside two vertices marked with this flag (e.g ["TEXT_BLOCK_SPLIT"]) -
skipFlags ( type=string array
| optional
)
- Flags to be skipped by this stage.
Tokens marked with this flag will be ignored by this stage, and no processing will be performed. -
requiredFlags ( type=string array
| optional
)
- Lex items flags required by every token to be processed.
Tokens need to have all of the specified flags in order to be processed. -
atLeastOneFlag ( type=string array
| optional
)
- Lex items flags needed by every token to be processed.
Tokens will need at least one of the flags specified in this array. -
confidenceAdjustment ( type=double
| default=1
| required
)
- Adjustment factor to apply to the confidence value of 0.0 to 2.0 from (Applies for every pattern match).
- 0.0 to < 1.0 decreases confidence value
- 1.0 confidence value remains the same
- > 1.0 to 2.0 increases confidence value
-
debug ( type=boolean
| default=false
| optional
)
- Enable all debug log functionality for the stage, if any.
-
enable ( type=boolean
| default=true
| optional
)
- Indicates if the current stage should be consider for the Pipeline Manager
- Only applies for automatic pipeline building
Configuration Parameters
No configuration parameters are needed.
{
"type":"LangDetectorStage",
}
Example Output
As you can see the first sentence is tagged with "LANG_ENG" and the second sentence with "LANG_SPA". For this case a sentence breaker stage was configured before the language detector stage. This way language identification could happen at sentence level.
Output Flags
Lex-Item Flags:
- TEXT_BLOCK - Flags all text blocks produced by the SimpleReader
- LANG_??? - Flags all text blocks where a language was identified. Notice '???' at the end of the Flag. This is replaced by a ISO 3 letter language code. For example, if Spanish is detected, 3 letter code is SPA, then Flag will be "LANG_SPA"
Vertex Flags: