Examples with WordAnalysis zemberek.morphology.analysis.WordAnalysis used on opensource projects

Example 51 with WordAnalysis

use of zemberek.morphology.analysis.WordAnalysis in project zemberek-nlp by ahmetaa.

the class HunspellOperations method generateAnnotationFileSingleSplit.

private static void generateAnnotationFileSingleSplit(Path vocab) throws IOException {
    List<String> words = Files.readAllLines(vocab, StandardCharsets.UTF_8);
    TurkishMorphology morphology = TurkishMorphology.createWithDefaults();
    List<String> annotations = new ArrayList<>();
    for (String word : words) {
        WordAnalysis analysis = morphology.analyze(word);
        if (!analysis.isCorrect()) {
            Log.warn("Cannot analyze %s", word);
            continue;
        }
        LinkedHashSet<String> stemEndings = new LinkedHashSet<>();
        for (SingleAnalysis s : analysis) {
            if (s.getDictionaryItem().secondaryPos == SecondaryPos.ProperNoun || s.getDictionaryItem().secondaryPos == SecondaryPos.Abbreviation) {
                continue;
            }
            List<String> stems = s.getStems();
            for (String stem : stems) {
                String ending = word.substring(stem.length());
                if (!(stem + ending).equals(word)) {
                    Log.warn("Stem + Ending %s+%s does not match word %s", stem, ending, word);
                    continue;
                }
                if (ending.length() > 0) {
                    stemEndings.add(word + " " + stem + " " + ending);
                } else {
                    stemEndings.add(word + " " + stem);
                }
            }
        }
        annotations.add(String.join(",", stemEndings));
    }
    Files.write(Paths.get("data/vocabulary/annonations.txt"), annotations, StandardCharsets.UTF_8);
}

Example 52 with WordAnalysis

use of zemberek.morphology.analysis.WordAnalysis in project zemberek-nlp by ahmetaa.

the class HunspellOperations method filterVocab.

private static void filterVocab(Path vocabFile, Path outFile) throws IOException {
    List<String> words = Files.readAllLines(vocabFile, StandardCharsets.UTF_8);
    TurkishMorphology morphology = TurkishMorphology.createWithDefaults();
    List<String> result = new ArrayList<>();
    for (String word : words) {
        WordAnalysis analysis = morphology.analyze(word);
        if (!analysis.isCorrect()) {
            Log.warn("Cannot analyze %s", word);
            continue;
        }
        result.add(word);
    }
    Files.write(outFile, result, StandardCharsets.UTF_8);
}

Example 53 with WordAnalysis

use of zemberek.morphology.analysis.WordAnalysis in project zemberek-nlp by ahmetaa.

the class DataConverter method extract.

private static void extract(Path dataPath, Path output) throws IOException {
    DataSet set = com.google.common.io.Files.asCharSource(dataPath.toFile(), Charsets.UTF_8).readLines(new DataSetLoader());
    TurkishMorphology morphology = TurkishMorphology.create(RootLexicon.builder().addTextDictionaryResources("tr/master-dictionary.dict", "tr/non-tdk.dict", "tr/proper.dict", "tr/proper-from-corpus.dict", "tr/abbreviations.dict", "tr/person-names.dict").build());
    List<SentenceAnalysis> result = new ArrayList<>();
    Histogram<String> parseFails = new Histogram<>();
    for (SentenceData sentenceData : set) {
        // System.out.println(sentenceData.correctParse);
        List<String> tokens = Splitter.on(" ").splitToList(sentenceData.sentence());
        if (tokens.size() == 0 || tokens.size() != sentenceData.correctParse.size()) {
            continue;
        }
        List<SentenceWordAnalysis> correctList = new ArrayList<>();
        for (int i = 0; i < tokens.size(); i++) {
            String s = tokens.get(i);
            String p = sentenceData.correctParse.get(i);
            p = p.replaceAll("PCNom", "PCNOM");
            p = p.replaceAll("Pnon|Nom", "");
            p = p.replaceAll("\\+Pos\\+", "+");
            p = p.replaceAll("\\+Pos\\^DB", "^DB");
            p = p.replaceAll("[+]+", "+");
            p = p.replaceAll("[+]$", "");
            p = p.replaceAll("[+]\\^DB", "^DB");
            p = p.replaceAll("[.]", "");
            p = p.toLowerCase(Turkish.LOCALE);
            p = p.replaceAll("adverb", "adv");
            p = p.replaceAll("\\+cop\\+a3sg", "+a3sg+cop");
            p = p.replaceAll("\\+Unable", "^DB+Verb+Able+Neg");
            if (lookup.containsKey(p)) {
                p = lookup.get(p);
            }
            WordAnalysis a = morphology.analyze(s);
            if (!a.isCorrect()) {
                break;
            }
            SingleAnalysis best = null;
            for (SingleAnalysis analysis : a) {
                String of = convert(analysis);
                if (of.equals(p)) {
                    best = analysis;
                    break;
                }
            }
            if (best == null) {
                if (Character.isUpperCase(s.charAt(0)) && (p.contains("+noun") && !p.contains("prop"))) {
                    String pp = p.replaceFirst("\\+noun", "\\+noun+prop");
                    for (SingleAnalysis analysis : a) {
                        String of = convert(analysis);
                        if (of.equals(pp)) {
                            best = analysis;
                            break;
                        }
                    }
                }
            }
            if (best == null) {
                List<String> z = a.getAnalysisResults().stream().map(DataConverter::convert).collect(Collectors.toList());
                parseFails.add(s + " " + p);
            } else {
                correctList.add(new SentenceWordAnalysis(best, a));
            }
        }
        if (correctList.size() == tokens.size()) {
            result.add(new SentenceAnalysis(sentenceData.sentence(), correctList));
        }
    }
    Scripts.saveUnambiguous(result, output);
    parseFails.removeSmaller(3);
    parseFails.saveSortedByCounts(Paths.get("parse-fails.txt"), " ");
    System.out.format("Full Sentence Match  = %d in %d%n", result.size(), set.sentences.size());
}

Example 54 with WordAnalysis

use of zemberek.morphology.analysis.WordAnalysis in project zemberek-nlp by ahmetaa.

the class Scripts method saveUnambiguous.

public static void saveUnambiguous(List<String> sentences, TurkishMorphology morphology, Path out) throws IOException {
    try (PrintWriter pwMorph = new PrintWriter(out.toFile(), "utf-8")) {
        for (String sentence : sentences) {
            SentenceAnalysis analysis = morphology.analyzeAndDisambiguate(sentence);
            if (analysis.bestAnalysis().stream().anyMatch(SingleAnalysis::isUnknown)) {
                continue;
            }
            pwMorph.format("S:%s%n", sentence);
            for (SentenceWordAnalysis sw : analysis) {
                WordAnalysis wa = sw.getWordAnalysis();
                pwMorph.println(wa.getInput());
                SingleAnalysis best = sw.getBestAnalysis();
                for (SingleAnalysis singleAnalysis : wa) {
                    boolean isBest = singleAnalysis.equals(best);
                    if (wa.analysisCount() == 1) {
                        pwMorph.println(singleAnalysis.formatLong());
                    } else {
                        pwMorph.format("%s%s%n", singleAnalysis.formatLong(), isBest ? "*" : "");
                    }
                }
            }
            pwMorph.println();
        }
    }
}

Example 55 with WordAnalysis

use of zemberek.morphology.analysis.WordAnalysis in project zemberek-nlp by ahmetaa.

the class AmbiguityStats method ambiguousWordStats.

public void ambiguousWordStats(String filename) throws IOException {
    List<String> lines = readAll(filename);
    Histogram<String> uniques = new Histogram<>(1000000);
    int total = 0;
    Splitter splitter = Splitter.on(" ").omitEmptyStrings().trimResults();
    for (String line : lines) {
        for (String s : splitter.split(line)) {
            List<WordAnalysis> results = parser.getWordAnalyzer().analyze(TurkishAlphabet.INSTANCE.normalize(s));
            total++;
            if (total % 50000 == 0) {
                System.out.println("Processed: " + total);
            }
            if (results.size() > 1) {
                uniques.add(s);
            }
        }
    }
    System.out.println("Total: " + total);
    Stats st = new Stats(0.002);
    st.allCounts = (int) uniques.totalCount();
    st.allUniques = uniques.size();
    for (String s : uniques.getSortedList()) {
        int count = uniques.getCount(s);
        if (st.overCutoff(count)) {
            String p1 = percentStr3(count, st.allCounts);
            st.significantCounts += count;
            st.significantUniques++;
            System.out.println(s + " : " + count + "    " + pp(p1));
        }
    }
    st.dump();
}