Examples with Z3MarkovModelDisambiguator zemberek.morphology.ambiguity.Z3MarkovModelDisambiguator used on opensource projects

Example 6 with Z3MarkovModelDisambiguator

use of zemberek.morphology.ambiguity.Z3MarkovModelDisambiguator in project zemberek-nlp by ahmetaa.

the class FindPOS method main.

public static void main(String[] args) throws IOException {
    TurkishMorphology morphology = TurkishMorphology.createWithDefaults();
    Z3MarkovModelDisambiguator disambiguator = new Z3MarkovModelDisambiguator();
    TurkishSentenceAnalyzer sentenceAnalyzer = new TurkishSentenceAnalyzer(morphology, disambiguator);
    new FindPOS(sentenceAnalyzer).test("Keşke yarın hava güzel olsa.");
}

Example 7 with Z3MarkovModelDisambiguator

use of zemberek.morphology.ambiguity.Z3MarkovModelDisambiguator in project zemberek-nlp by ahmetaa.

the class TurkishSentenceAnalyzerTest method setUp.

@Before
public void setUp() throws Exception {
    TurkishMorphology morphParser = TurkishMorphology.createWithDefaults();
    parser = new TurkishSentenceAnalyzer(morphParser, new Z3MarkovModelDisambiguator());
}

Example 8 with Z3MarkovModelDisambiguator

use of zemberek.morphology.ambiguity.Z3MarkovModelDisambiguator in project zemberek-nlp by ahmetaa.

the class ZemberekNlpScripts method performance.

@Test
@Ignore("Not a Test.")
public void performance() throws IOException {
    List<String> lines = Files.readAllLines(// Paths.get("/media/depo/data/aaa/corpora/dunya.100k")
    Paths.get("/home/ahmetaa/data/nlp/corpora/dunya.100k"));
    TurkishMorphology analyzer = TurkishMorphology.builder().addDefaultDictionaries().disableUnidentifiedTokenAnalyzer().disableCache().build();
    TurkishSentenceAnalyzer sentenceAnalyzer = new TurkishSentenceAnalyzer(analyzer, new Z3MarkovModelDisambiguator());
    Log.info(lines.size() + " lines will be processed.");
    Log.info("Dictionary has " + analyzer.getLexicon().size() + " items.");
    long tokenCount = 0;
    long tokenCountNoPunct = 0;
    Stopwatch clock = Stopwatch.createStarted();
    TurkishTokenizer lexer = TurkishTokenizer.DEFAULT;
    for (String line : lines) {
        List<Token> tokens = lexer.tokenize(line);
        tokenCount += tokens.stream().filter(s -> (s.getType() != TurkishLexer.SpaceTab)).count();
        tokenCountNoPunct += tokens.stream().filter(s -> (s.getType() != TurkishLexer.Punctuation && s.getType() != TurkishLexer.SpaceTab)).count();
    }
    long elapsed = clock.elapsed(TimeUnit.MILLISECONDS);
    Log.info("Elapsed Time = " + elapsed);
    Log.info("Token Count = " + tokenCount);
    Log.info("Token Count (No Punctuation) = " + tokenCountNoPunct);
    Log.info("Tokenization Speed = %.1f tokens/sec", tokenCount * 1000d / elapsed);
    Log.info("Tokenization Speed (No Punctuation) = %.1f tokens/sec ", tokenCountNoPunct * 1000d / elapsed);
    Log.info("");
    Log.info("Sentence word analysis test:");
    int counter = 0;
    clock.reset().start();
    for (String line : lines) {
        try {
            SentenceAnalysis res = sentenceAnalyzer.analyze(line);
            // for preventing VM optimizations.
            counter += res.size();
        } catch (Exception e) {
            Log.info(line);
            e.printStackTrace();
        }
    }
    elapsed = clock.elapsed(TimeUnit.MILLISECONDS);
    Log.info("Elapsed Time = " + elapsed);
    Log.info("Tokenization + Analysis speed = %.1f tokens/sec", tokenCount * 1000d / elapsed);
    Log.info("Tokenization + Analysis speed (no punctuation) = %.1f tokens/sec", tokenCountNoPunct * 1000d / elapsed);
    Log.info(analyzer.toString());
    Log.info("");
    Log.info("Disambiguation Test:");
    analyzer.invalidateAllCache();
    clock.reset().start();
    for (String line : lines) {
        try {
            List<WordAnalysis> results = sentenceAnalyzer.bestParse(line);
            // for preventing VM optimizations.
            counter += results.size();
        } catch (Exception e) {
            Log.info(line);
            e.printStackTrace();
        }
    }
    elapsed = clock.elapsed(TimeUnit.MILLISECONDS);
    Log.info("Elapsed Time = " + elapsed);
    Log.info("Tokenization + Analysis + Disambiguation speed = %.1f tokens/sec", tokenCount * 1000d / elapsed);
    Log.info("Tokenization + Analysis + Disambiguation speed (no punctuation) = %.1f tokens/sec", tokenCountNoPunct * 1000d / elapsed);
    Log.info(counter);
}