List of probs() Examples

Examples of probs()

opennlp.tools.chunker.ChunkerME.probs()
Populates the specified array with the probabilities of the last decoded sequence. The sequence was determined based on the previous call to chunk. The specified array should be at least as large as the numbe of tokens in the previous call to chunk. @param probs An array used to hold the probabilities of the last decoded sequence.
opennlp.tools.namefind.NameFinderME.probs()
Populates the specified array with the probabilities of the last decoded sequence. The sequence was determined based on the previous call to chunk. The specified array should be at least as large as the number of tokens in the previous call to chunk. @param probs An array used to hold the probabilities of the last decoded sequence.
opennlp.tools.postag.POSTaggerME.probs()
Populates the specified array with the probabilities for each tag of the last tagged sentence. @param probs An array to put the probabilities into.

Examples of opennlp.tools.chunker.ChunkerME.probs()

                //posProbs = tagger.probs();
                if(chunker != null){
                    //we still need the Array of the best ranked POS tags for the chunker
                    String[] pos = posSequences[0].getOutcomes().toArray(new String[tokens.length]);
                    chunkSpans = chunker.chunkAsSpans(tokens, pos);
                    chunkProps = chunker.probs();
                } else if(posTypeChunker != null){
                    chunkSpans = posTypeChunker.chunkAsSpans(tokens, posTags, posProbs);
                    chunkProps = new double[chunkSpans.length];
                    Arrays.fill(chunkProps, 1.0);
                } else {

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Examples of opennlp.tools.chunker.ChunkerME.probs()

                posList.clear(); //free memory
                
                // (2) Chunk the sentence
                
                String[] chunkTags = chunker.chunk(tokenStrings, tokenPos);
                double[] chunkProb = chunker.probs();
                if(log.isTraceEnabled()){
                    log.trace("Chunks: {}"+Arrays.toString(chunkTags));
                }
                tokenStrings = null; //free memory
                tokenPos = null; //free memory

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Examples of opennlp.tools.chunker.ChunkerME.probs()

                posList.clear(); //free memory
                
                // (2) Chunk the sentence
                
                String[] chunkTags = chunker.chunk(tokenStrings, tokenPos);
                double[] chunkProb = chunker.probs();
                if(log.isTraceEnabled()){
                    log.trace("Chunks: {}"+Arrays.toString(chunkTags));
                }
                tokenStrings = null; //free memory
                tokenPos = null; //free memory

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Examples of opennlp.tools.chunker.ChunkerME.probs()

                }
                Span[] chunkSpans;
                double[] chunkProps;
                if(chunker != null){
                    chunkSpans = chunker.chunkAsSpans(tokens, pos);
                    chunkProps = chunker.probs();
                } else {
                    chunkSpans = null;
                    chunkProps = null;
                }
                enhance(suggestionCache,site,ci,language, //the site, metadata and lang

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Examples of opennlp.tools.chunker.ChunkerME.probs()

                //posProbs = tagger.probs();
                if(chunker != null){
                    //we still need the Array of the best ranked POS tags for the chunker
                    String[] pos = posSequences[0].getOutcomes().toArray(new String[tokens.length]);
                    chunkSpans = chunker.chunkAsSpans(tokens, pos);
                    chunkProps = chunker.probs();
                } else if(posTypeChunker != null){
                    chunkSpans = posTypeChunker.chunkAsSpans(tokens, posTags, posProbs);
                    chunkProps = new double[chunkSpans.length];
                    Arrays.fill(chunkProps, 1.0);
                } else {

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Examples of opennlp.tools.namefind.NameFinderME.probs()

    //<end id="ne-display2"/>
    //<start id="ne-prob"/>
    for (int si = 0; si < sentences.length; si++) {//<co id="co.opennlp.name.eachsent3"/>
      String[] tokens = tokenizer.tokenize(sentences[si]); //<co id="co.opennlp.name.tokenize3"/>
      Span[] names = finder.find(tokens); //<co id="co.opennlp.name.findnames1"/>
      double[] spanProbs = finder.probs(names); //<co id="co.opennlp.name.probs"/>
    }
    /*<calloutlist>
    <callout arearefs="co.opennlp.name.eachsent3"><para>Iterate over each sentence.</para></callout>
    <callout arearefs="co.opennlp.name.tokenize3"><para>Split the sentence into an array of tokens.</para></callout>
    <callout arearefs="co.opennlp.name.findnames1"><para>Identify the names in the sentence and return token-based offsets to these names.</para></callout>

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Examples of opennlp.tools.namefind.NameFinderME.probs()


            // extract the names in the current sentence
            String[] tokens = tokenizer.tokenize(sentence);
            Span[] tokenspan = tokenizer.tokenizePos(sentence);
            Span[] nameSpans = finder.find(tokens);
            double[] probs = finder.probs();


            if (nameSpans != null && nameSpans.length > 0) {
                //System.out.println("Tokens: " +(new ArrayList(Arrays.asList(tokens))).toString());
                //System.out.println("NameSpans: " +(new ArrayList(Arrays.asList(nameSpans))).toString());
                for (Span span : nameSpans) {

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Examples of opennlp.tools.namefind.NameFinderME.probs()

                Token t = it.next();
                tokens.add(t);
                words.add(t.getSpan());
            }
            Span[] nameSpans = finder.find(words.toArray(new String[words.size()]));
            double[] probs = finder.probs();
            //int lastStartPosition = 0;
            for (int j = 0; j < nameSpans.length; j++) {
                String name = at.getSpan().substring(tokens.get(nameSpans[j].getStart()).getStart(), 
                    tokens.get(nameSpans[j].getEnd()-1).getEnd());
                Double confidence = 1.0;

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Examples of opennlp.tools.namefind.NameFinderME.probs()

            // extract the names in the current sentence and
            // keep them store them with the current context
            Span[] tokenSpans = tokenizer.tokenizePos(sentence);
            String[] tokens = Span.spansToStrings(tokenSpans, sentence);
            Span[] nameSpans = finder.find(tokens);
            double[] probs = finder.probs();
            //int lastStartPosition = 0;
            for (int j = 0; j < nameSpans.length; j++) {
                String name = sentence.substring(tokenSpans[nameSpans[j].getStart()].getStart(), 
                    tokenSpans[nameSpans[j].getEnd()-1].getEnd());
                Double confidence = 1.0;

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Examples of opennlp.tools.namefind.NameFinderME.probs()

            // extract the names in the current sentence and
            // keep them store them with the current context
            Span[] tokenSpans = tokenizer.tokenizePos(sentence);
            String[] tokens = Span.spansToStrings(tokenSpans, sentence);
            Span[] nameSpans = finder.find(tokens);
            double[] probs = finder.probs();
            String[] names = Span.spansToStrings(nameSpans, tokens);
            //int lastStartPosition = 0;
            for (int j = 0; j < names.length; j++) {
                String name = names[j];
                Double confidence = 1.0;

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