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Fixed slow combination of words and lemmas presentation

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Luka
2018-07-17 16:04:26 +02:00
parent c073e12f55
commit 84d0086a66
7 changed files with 113 additions and 73 deletions
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6
src/main/java/alg/ngram/Ngrams.java
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@@ -44,11 +44,14 @@ public class Ngrams {
// generate proper MultipleHMKeys depending on filter data
String key = wordToString(ngramCandidate, stats.getFilter().getCalculateFor());
// String key = "aaaaaaaaaaaaaaaaaaaaaaa";
String lemma = "";
String wordType = "";
String msd = "";
for (CalculateFor otherKey : stats.getFilter().getMultipleKeys()){
if(otherKey.toString().equals("lema")){
// lemma = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaa";
lemma = wordToString(ngramCandidate, otherKey);
} else if(otherKey.toString().equals("besedna vrsta")){
wordType = wordToString(ngramCandidate, otherKey).substring(0, 1);
@@ -222,7 +225,8 @@ public class Ngrams {
private static void validateAndCountSkipgramCandidate(ArrayList<Word> skipgramCandidate, StatisticsNew stats) {
// count if no regex is set or if it is & candidate passes it
if (!stats.getFilter().hasMsd() || passesRegex(skipgramCandidate, stats.getFilter().getMsd())) {
stats.updateResults(wordToString(skipgramCandidate, stats.getFilter().getCalculateFor()));
stats.updateTaxonomyResults(new MultipleHMKeys(wordToString(skipgramCandidate, stats.getFilter().getCalculateFor()), "", "", ""),
stats.getCorpus().getTaxonomy());
}
}
}