Example usage for edu.stanford.nlp.util StringUtils EMPTY_STRING_ARRAY

Introduction

In this page you can find the example usage for edu.stanford.nlp.util StringUtils EMPTY_STRING_ARRAY.

Prototype

String[] EMPTY_STRING_ARRAY

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Usage

From source file:shef.mt.tools.ParsingProcessor.java

public ParsingProcessor(String lang, String pm, String dm, HashSet<String> requirements) {
    //Store required resources:
    this.requiresPOSTags = requirements.contains("postags");
    this.requiresDepCounts = requirements.contains("depcounts");

    //Create model path objects:
    String posModel = null;// w w  w . j  a v a2  s.  c om
    String depModel = null;

    //Setup model paths:
    if (pm == null) {
        if (lang.equals("english")) {
            posModel = "edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger";
        } else if (lang.equals("spanish")) {
            posModel = "edu/stanford/nlp/models/pos-tagger/spanish/spanish-distsim.tagger";
        } else if (lang.equals("chinese")) {
            posModel = "edu/stanford/nlp/models/pos-tagger/chinese-distsim/chinese-distsim.tagger";
        } else {
            posModel = "edu/stanford.nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger";
        }
    } else {
        posModel = pm;
    }
    if (dm == null) {
        if (lang.equals("english")) {
            depModel = "edu/stanford/nlp/models/lexparser/englishRNN.ser.gz";
        } else if (lang.equals("spanish")) {
            depModel = "edu/stanford/nlp/models/lexparser/spanishPCFG.ser.gz";
        } else if (lang.equals("chinese")) {
            depModel = "edu/stanford/nlp/models/lexparser/chinesePCFG.ser.gz";
        } else {
            depModel = "edu/stanford/nlp/models/lexparser/englishRNN.ser.gz";
        }
    } else {
        depModel = dm;
    }

    //Create base properties:
    Properties props = new Properties();
    if (this.requiresDepCounts) {
        props.setProperty("annotators", "tokenize, ssplit, pos, parse");
    } else {
        props.setProperty("annotators", "tokenize, ssplit, pos");
    }

    //Create base pipeline:
    pipeline = new StanfordCoreNLP(props);

    try {
        //Create pipeline object:
        tokenizer = new TokenizerAnnotator(true, TokenizerAnnotator.TokenizerType.Whitespace);

        //Add objects to the pipeline:
        pipeline.addAnnotator(tokenizer);
    } catch (Exception ex) {
        System.out.println("ERROR: Problem while creating Stanford tokenizer.");
    }

    try {
        //Create pipeline object:
        tagger = new POSTaggerAnnotator(posModel, false);

        //Add object to the pipeline:
        pipeline.addAnnotator(tagger);
    } catch (Exception ex) {
        System.out.println(
                "ERROR: Problem while creating Stanford POS tagger. Please review the model paths and check for library availability.");
    }

    //If dependency counts are required:
    if (this.requiresDepCounts) {
        try {
            //Create pipeline object:
            parser = new ParserAnnotator(depModel, false, 300, StringUtils.EMPTY_STRING_ARRAY);

            //Add object to the pipeline:
            pipeline.addAnnotator(parser);
        } catch (Exception ex) {
            System.out.println(
                    "ERROR: Problem while creating Stanford dependency parser. Please review the model paths and check for library availability.");
        }
    }
}

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