Package org.apache.tika.langdetect.mitll
Class TextLangDetector
java.lang.Object
org.apache.tika.language.detect.LanguageDetector
org.apache.tika.langdetect.mitll.TextLangDetector
Language Detection using MIT Lincoln Lab’s Text.jl library
https://github.com/trevorlewis/TextREST.jl
Please run the TextREST.jl server before using this.
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Field Summary
Fields inherited from class org.apache.tika.language.detect.LanguageDetector
mixedLanguages, shortText
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionvoid
addText
(char[] cbuf, int off, int len) Add statistics about this text for the current document.protected static boolean
canRun()
Detect languages based on previously submitted text (via addText calls).boolean
Provide information about whether a model exists for a specific language.Load (or re-load) all available language models.loadModels
(Set<String> set) Load (or re-load) the models specified in. void
reset()
Reset statistics about the current document being processedSet the a-priori probabilities for these languages.Methods inherited from class org.apache.tika.language.detect.LanguageDetector
addText, detect, detect, detectAll, getDefaultLanguageDetector, getLanguageDetectors, getLanguageDetectors, hasEnoughText, isMixedLanguages, isShortText, setMixedLanguages, setShortText
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Constructor Details
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TextLangDetector
public TextLangDetector()
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Method Details
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canRun
protected static boolean canRun() -
loadModels
Description copied from class:LanguageDetector
Load (or re-load) all available language models. This must be called after any settings that would impact the models being loaded (e.g. mixed language/short text), but before any of the document processing routines (below) are called. Note that it only needs to be called once.- Specified by:
loadModels
in classLanguageDetector
- Returns:
- this
- Throws:
IOException
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loadModels
Description copied from class:LanguageDetector
Load (or re-load) the models specified in. These use the ISO 639-1 names, with an optional "- " for more specific specification (e.g. "zh-CN" for Chinese in China). - Specified by:
loadModels
in classLanguageDetector
- Parameters:
set
- list of target languages.- Returns:
- this
- Throws:
IOException
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hasModel
Description copied from class:LanguageDetector
Provide information about whether a model exists for a specific language.- Specified by:
hasModel
in classLanguageDetector
- Parameters:
language
- ISO 639-1 name for language- Returns:
- true if a model for this language exists.
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setPriors
Description copied from class:LanguageDetector
Set the a-priori probabilities for these languages. The provided map uses the language as the key, and the probability (0.0 > probability < 1.0) of text being in that language. Note that if the probabilities don't sum to 1.0, these values will be normalized.If hasModel() returns false for any of the languages, an IllegalArgumentException is thrown.
Use of these probabilities is detector-specific, and thus might not impact the results at all. As such, these should be viewed as a hint.
- Specified by:
setPriors
in classLanguageDetector
- Parameters:
languageProbabilities
- Map from language to probability- Returns:
- this
- Throws:
IOException
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reset
public void reset()Description copied from class:LanguageDetector
Reset statistics about the current document being processed- Specified by:
reset
in classLanguageDetector
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addText
public void addText(char[] cbuf, int off, int len) Description copied from class:LanguageDetector
Add statistics about this text for the current document. Note that we assume an implicit word break exists before/after each of these runs of text.- Specified by:
addText
in classLanguageDetector
- Parameters:
cbuf
- Character bufferoff
- Offset into cbuf to first character in the run of textlen
- Number of characters in the run of text.
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detectAll
Description copied from class:LanguageDetector
Detect languages based on previously submitted text (via addText calls).- Specified by:
detectAll
in classLanguageDetector
- Returns:
- list of all possible languages with at least medium confidence, sorted by confidence from highest to lowest. There will always be at least one result, which might have a confidence of NONE.
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