Trait

com.johnsnowlabs.nlp.annotators.pos.perceptron

PerceptronPredictionUtils

Related Doc: package perceptron

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trait PerceptronPredictionUtils extends PerceptronUtils

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  16. def tag(model: AveragedPerceptron, tokenizedSentences: Array[TokenizedSentence]): Array[TaggedSentence]

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    Tags a group of sentences into POS tagged sentences The logic here is to create a sentence context, run through every word and evaluate its context Based on how frequent a context appears around a word, such context is given a score which is used to predict Some words are marked as non ambiguous from the beginning

    Tags a group of sentences into POS tagged sentences The logic here is to create a sentence context, run through every word and evaluate its context Based on how frequent a context appears around a word, such context is given a score which is used to predict Some words are marked as non ambiguous from the beginning

    tokenizedSentences

    Sentence in the form of single word tokens

    returns

    A list of sentences which have every word tagged

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