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Operates On: Lexical Items with TEXT_BLOCK flag.
Library: saga-lang-detector-stage
Saga_is_recognizer Recognizer false
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It can detect 103 languages outputting ISO 639-3 language codes. (https://opennlp.apache.org/news/model-langdetect-183.html) |
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It is important to note that the The model works better with longer texts that have containing at least 2 two sentences. So it It is important to configure this stage earlier in the pipeline and before tokenizing the text. |
Library: saga-lang-detector-stage
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Configuration Parameters
No configuration parameters are needed.
Parameter summary path to the OpenNLP language model default langdetect-183.bin name langModel
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"atLeastOneFlag": []
"boundaryFlags": ["SENTENCE_SPLIT", "TEXT_BLOCK_SPLIT"]
"confidenceAdjustment": 1
"debug": false
"langModel": "langdetect-183.bin"
"dontProcessFlags": []
"requiredFlags": []
"skipFlags": [] | ||||||
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{
"type":"LangDetectorStage",
} |
Example Output
As you can see, the first sentence is tagged with "LANG_ENG" and the second sentence with "LANG_SPA". For
In this case, a sentence breaker stage was configured before the language detector stage. This way As a result, language identification could happen can occur at the sentence level.
Output Flags
Lex-Item Flags
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- TEXT_BLOCK - Flags all text blocks produced by the SimpleReader.
- LANG - All tokens where language detection was applied, will have LANG flag for easy detection
LANG_??? - Flags all text blocks where a language was identified.
aNote Notice '???' at the end of the Flag. This is replaced by
3an ISO
Forthree letter language code.
3For example, if Spanish is detected,
thenthe three letter code is SPA,
and the Flag will be "LANG_SPA"
Vertex Flags
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No vertices are created in this stage |
Overview
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