use of zemberek.morphology.ambiguity.RuleBasedDisambiguator.AnalysisDecision in project zemberek-nlp by ahmetaa.
the class GenerateDataWithRules method extractData.
private void extractData(Path p, Path outRoot, int resultLimit, int maxAmbigiousWordCount) throws IOException {
List<Path> files = Files.walk(p, 1).filter(s -> s.toFile().isFile()).collect(Collectors.toList());
BatchResult result = new BatchResult();
int i = 0;
for (Path file : files) {
Log.info("Processing %s", file);
LinkedHashSet<String> sentences = getSentences(file);
collect(result, sentences, maxAmbigiousWordCount, resultLimit);
i++;
Log.info("%d of %d", i, files.size());
if (resultLimit > 0 && result.results.size() > resultLimit) {
break;
}
}
String s = p.toFile().getName();
Log.info("Saving.");
Path out = outRoot.resolve(s + "-rule-result.txt");
Path amb = outRoot.resolve(s + "-rule-result-amb.txt");
try (PrintWriter pwu = new PrintWriter(out.toFile(), "utf-8");
PrintWriter pwa = new PrintWriter(amb.toFile(), "utf-8")) {
for (ResultSentence sentence : result.results) {
pwu.println("S:" + sentence.sentence);
pwa.println("S:" + sentence.sentence);
for (AmbiguityAnalysis analysis : sentence.results) {
List<String> forTrain = analysis.getForTrainingOutput();
forTrain.forEach(pwu::println);
pwa.println(analysis.token);
for (AnalysisDecision r : analysis.choices) {
pwa.println(r.analysis.formatLong());
}
}
pwu.println();
pwa.println();
}
}
}
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