Modified translations + Added note punctuations in OneWord
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.gitignore
vendored
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.gitignore
vendored
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@ -161,3 +161,6 @@ $RECYCLE.BIN/
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# Windows shortcuts
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*.lnk
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src/main/resources/translation_external/
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src/main/resources/translations_backup/
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@ -365,7 +365,7 @@ public class XML_processing {
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} else if (qName.equals("c3") || qName.equals("c1") || qName.equals("c")) {
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String c3Content = eventReader.nextEvent().asCharacters().getData();
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if (stats.getFilter().getNgramValue() > 1 && stats.getFilter().getNotePunctuations() &&
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if (stats.getFilter().getNotePunctuations() &&
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stavek.size() > 0) {
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stavek.add(createWord(c3Content, c3Content, "/", "", stats.getFilter()));
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@ -774,7 +774,8 @@ public class XML_processing {
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sentence.add(createWord(word, lemma, msd, word, stats.getFilter()));
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inWord = false;
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}
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if (stats.getFilter().getNgramValue() > 1 && stats.getFilter().getNotePunctuations() && inPunctuation && sentence.size() > 0) {
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// if (stats.getFilter().getNgramValue() > 1 && stats.getFilter().getNotePunctuations() && inPunctuation && sentence.size() > 0) {
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if (stats.getFilter().getNotePunctuations() && inPunctuation && sentence.size() > 0) {
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String punctuation = characters.getData();
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sentence.add(createWord(punctuation, punctuation, "/", punctuation, stats.getFilter()));
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inPunctuation = false;
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@ -1052,7 +1053,7 @@ public class XML_processing {
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sentence.add(createWord(word, lemma, msd, word, stats.getFilter()));
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inWord = false;
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}
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if (stats.getFilter().getNgramValue() > 1 && stats.getFilter().getNotePunctuations() && inPunctuation) {
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if (stats.getFilter().getNotePunctuations() && inPunctuation) {
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// if (stats.getFilter().getNgramValue() > 1 && stats.getFilter().getNotePunctuations() && inPunctuation && sentence.size() > 0) {
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String punctuation = characters.getData();
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sentence.add(createWord(punctuation, punctuation, "/", punctuation, stats.getFilter()));
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@ -56,6 +56,9 @@ public class OneWordAnalysisTab {
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@FXML
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public Label writeMsdAtTheEndL;
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@FXML
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public Label notePunctuationsL;
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@FXML
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public Label dataLimitL;
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@ -86,6 +89,9 @@ public class OneWordAnalysisTab {
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@FXML
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public ImageView writeMsdAtTheEndI;
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@FXML
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public ImageView notePunctuationsI;
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@FXML
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public ImageView msdI;
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@ -122,6 +128,10 @@ public class OneWordAnalysisTab {
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private CheckBox writeMsdAtTheEndChB;
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private boolean writeMsdAtTheEnd;
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@FXML
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private CheckBox notePunctuationsChB;
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private boolean notePunctuations;
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@FXML
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private ComboBox<String> calculateForCB;
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private CalculateFor calculateFor;
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@ -494,6 +504,16 @@ public class OneWordAnalysisTab {
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});
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// writeMsdAtTheEndChB.setTooltip(new Tooltip(TOOLTIP_readDisplayTaxonomyChB));
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notePunctuations = false;
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// set
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notePunctuationsChB.selectedProperty().addListener((observable, oldValue, newValue) -> {
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notePunctuations = newValue;
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logger.info("note punctuations: ", notePunctuations);
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});
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notePunctuationsChB.setSelected(false);
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notePunctuationsChB.setTooltip(new Tooltip(I18N.get("message.TOOLTIP_readNotePunctuationsChB")));
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notePunctuationsChB.setDisable(false);
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// set default values
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minimalOccurrencesTF.setText("1");
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minimalOccurrences = 1;
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@ -653,6 +673,7 @@ public class OneWordAnalysisTab {
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alsoVisualizeL.textProperty().bind(I18N.createStringBinding("label.alsoVisualize"));
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displayTaxonomyL.textProperty().bind(I18N.createStringBinding("label.displayTaxonomy"));
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writeMsdAtTheEndL.textProperty().bind(I18N.createStringBinding("label.writeMsdAtTheEnd"));
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notePunctuationsL.textProperty().bind(I18N.createStringBinding("label.notePunctuations"));
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dataLimitL.textProperty().bind(I18N.createStringBinding("label.dataLimit"));
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msdL.textProperty().bind(I18N.createStringBinding("label.msd"));
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@ -666,6 +687,7 @@ public class OneWordAnalysisTab {
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addTooltipToImage(alsoVisualizeI, I18N.createStringBinding("label.word.alsoVisualizeH"));
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addTooltipToImage(displayTaxonomyI, I18N.createStringBinding("label.word.displayTaxonomyH"));
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addTooltipToImage(writeMsdAtTheEndI, I18N.createStringBinding("label.word.writeMsdAtTheEndH"));
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addTooltipToImage(notePunctuationsI, I18N.createStringBinding("label.wordSet.notePunctuationsH"));
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addTooltipToImage(msdI, I18N.createStringBinding("label.word.msdH"));
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addTooltipToImage(taxonomyI, I18N.createStringBinding("label.word.taxonomyH"));
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@ -721,6 +743,8 @@ public class OneWordAnalysisTab {
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filter.setSolarFilters(solarFiltersMap);
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filter.setStringLength(1);
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filter.setMultipleKeys(alsoVisualize);
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// filter.setNotePunctuations(true);
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filter.setNotePunctuations(notePunctuations);
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// setMsd must be behind alsoVisualize
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filter.setMsd(msd);
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@ -54,6 +54,12 @@
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<Image url="questionmark.png" backgroundLoading="true"/>
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</ImageView>
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<Label fx:id="notePunctuationsL" layoutX="10.0" layoutY="180.0" prefHeight="25.0" text="Upoštevaj ločila" />
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<CheckBox fx:id="notePunctuationsChB" layoutX="283.0" layoutY="180.0" selected="false" />
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<ImageView fx:id="notePunctuationsI" layoutX="370.0" layoutY="187.5" pickOnBounds="true" preserveRatio="true">
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<Image url="questionmark.png" backgroundLoading="true"/>
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</ImageView>
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<Button fx:id="computeNgramsB" layoutX="10.0" layoutY="440.0" mnemonicParsing="false"
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prefHeight="25.0" prefWidth="250.0" text="Izračunaj"/>
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</Pane>
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@ -24,96 +24,96 @@ button.chooseResultsLocation=Set location
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label.selectReader=Select reader
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label.outputName=Output file name
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label.corpusTab.chooseCorpusLocationH=Select folder which contains corpus. The folder should only contain one corpus and should not contain too many files that are not part of corpus.
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label.corpusTab.readHeaderInfoH=If you select this option taxonomy will be read separately. This might take a while.
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label.corpusTab.chooseCorpusLocationH=Select the folder which contains the corpus. The folder should only contain one corpus and should not contain files that are not part of the corpus.
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label.corpusTab.readHeaderInfoH=If you select this option, the taxonomy will be read separately. This might take a while.
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label.corpusTab.chooseResultsLocationH=Choose result location
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label.corpusTab.selectReaderH=Select reader
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label.corpusTab.outputNameH=Output file name
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# character analysis tab
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label.stringLength=Number of letters
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label.stringLength=Number of characters
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label.calculateFor=Calculate for
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label.displayTaxonomy=Display taxonomies
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label.dataLimit=Data limitations
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label.msd=MSD
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label.taxonomy=Taxonomy
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label.minimalOccurrences=Min. n. occurrences
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label.minimalTaxonomy=Min. n. taxonomies
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label.msd=Morphosyntactic tag
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label.taxonomy=Filter by taxonomy
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label.minimalOccurrences=Min. nr. occurrences
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label.minimalTaxonomy=Min. nr. tax. branches
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label.taxonomySetOperation=Filtriraj taksonomijo po
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label.solarFilters=Selected filters:
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string.lemma=lemma
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string.word=word
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label.letter.stringLengthH=Enter length of letter output.
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label.letter.calculateForH=Črkovni nizi bodo prešteti v izbranih enotah.
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label.letter.displayTaxonomyH=Izpisana bo tudi razporeditev črkovnih nizov po taksonomiji korpusa.
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label.letter.msdH=Črkovni nizi bodo prešteti samo v besedah z določeno oznako.
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label.letter.taxonomyH=Črkovni nizi bodo prešteti samo v izbranih vrstah besedil.
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label.letter.minimalOccurrencesH=Črkovni nizi z manj pojavitvami ne bodo vključeni v izpis.
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label.letter.minimalTaxonomyH=Črkovni nizi, prisotni v manj taksonomskih vejah, ne bodo vključeni v izpis.
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label.letter.stringLengthH=Enter the length of character strings.
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label.letter.calculateForH=Character strings will be counted in the selected units.
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label.letter.displayTaxonomyH=The output will also contain the distribution of character strings across the corpus taxonomy.
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label.letter.msdH=Character strings will be counted only in words with the provided tag.
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label.letter.taxonomyH=Character strings will be counted only in selected text types.
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label.letter.minimalOccurrencesH=Character strings with fewer occurrences will not be included in the output.
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label.letter.minimalTaxonomyH=Character strings that occur in fewer taxonomy branches will not be included in the output.
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label.letter.taxonomySetOperationH=Izpisuj iz besedil, ki ustrezajo vsaj eni od izbranih vej (unija) ali vsem izbranim vejam (presek)
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# word part tab
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label.alsoVisualize=Also filter
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label.lengthSearch=Search for word parts through specified length
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label.prefixLength=Prefix length
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label.suffixLength=Suffix length
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label.listSearch=Search for word parts through specified prefixes and suffixes
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label.prefixList=Prefix list
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label.suffixList=Suffix list
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label.alsoVisualize=Also split by
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label.lengthSearch=Search for word parts of a specified length
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label.prefixLength=Length of initial part
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label.suffixLength=Length of final part
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label.listSearch=Search for word parts with a specified list
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label.prefixList=List of initial parts
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label.suffixList=List of final parts
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label.wordPart.calculateForH=Besedni deli bodo prešteti v izbranih enotah.
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label.wordPart.alsoVisualizeH=V izpis bodo vključeni tudi izbrani podatki.
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label.wordPart.displayTaxonomyH=Izpisana bo tudi razporeditev besednih delov po taksonomiji korpusa.
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label.wordPart.prefixLengthH=
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label.wordPart.suffixLengthH=Določite dolžino (v številu črk) začetnega in/ali končnega dela besede.
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label.wordPart.prefixListH=
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label.wordPart.suffixListH=Besedne dele, ki jih želite iskati, ločite z vejico (npr. pre, raz).
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label.wordPart.msdH=Besedni deli bodo prešteti samo v besedah z določeno oznako.
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label.wordPart.taxonomyH=Besedni deli bodo prešteti samo v izbranih vrstah besedil.
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label.wordPart.minimalOccurrencesH=Enote z iskanim besednim delom, ki se pojavijo redkeje, ne bodo vključene v izpis.
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label.wordPart.minimalTaxonomyH=Enote z iskanim besednim delom, ki so prisotne v manj vejah, ne bodo vključene v izpis.
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label.wordPart.calculateForH=Word parts will be counted in the selected units.
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label.wordPart.alsoVisualizeH=The output will also include the selected data.
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label.wordPart.displayTaxonomyH=The output will also contain the distribution of word parts across the corpus taxonomy.
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label.wordPart.prefixLengthH=Specify the length (in number of characters) of the initial word part.
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label.wordPart.suffixLengthH=Specify the length (in number of characters) of the final word part.
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label.wordPart.prefixListH=Separate the word parts with a semicolon (e.g. out; over)
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label.wordPart.suffixListH=Separate the word parts with a semicolon (e.g. ation; ness).
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label.wordPart.msdH=Word parts will only be counted in words with the specified tag.
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label.wordPart.taxonomyH=Word parts will only be counted in the selected text types.
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label.wordPart.minimalOccurrencesH=Units with the specified word part that occur fewer times will not be included in the output.
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label.wordPart.minimalTaxonomyH=Units with the specified word part that are present in fewer taxonomy branches will not be included in the output.
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# word tab
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label.writeMsdAtTheEnd=Razbij oblikoskladenjsko oznako
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label.writeMsdAtTheEnd=Split the morphosyntactic tag
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label.word.calculateForH=Določite, kaj naj program izpisuje kot glavno enoto.
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label.word.alsoVisualizeH=V izpis bodo vključeni tudi izbrani podatki.
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label.word.displayTaxonomyH=Izpisana bo tudi razporeditev enot po taksonomiji korpusa.
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label.word.writeMsdAtTheEndH=Izpisani bodo tudi posamezni deli oblikoskladenjskih oznak.
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label.word.msdH=Preštete bodo samo besede z določeno oznako.
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label.word.taxonomyH=Besede bodo preštete samo v izbranih vrstah besedil.
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label.word.minimalOccurrencesH=Besede, ki se pojavijo redkeje, ne bodo vključene v izpis.
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label.word.minimalTaxonomyH=Besede, ki so prisotne v manj vejah, ne bodo vključene v izpis.
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label.word.calculateForH=Specify what the program should treat as the main unit for the output.
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label.word.alsoVisualizeH=The output will also contain the selected data.
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label.word.displayTaxonomyH=The output will also contain the distribution of units across the corpus taxonomy.
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label.word.writeMsdAtTheEndH=The output will also include individual parts of morphosyntactic tags.
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label.word.msdH=Only words with the specified tag will be counted.
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label.word.taxonomyH=Only words in the selected text types will be counted.
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label.word.minimalOccurrencesH=Words with fewer occurrences will not be included in the output.
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label.word.minimalTaxonomyH=Words that occur in fewer taxonomy branches will not be included in the output.
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# word sets tab
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label.wordSet.calculateForH=Določite, iz katerih enot bodo izpisani nizi.
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label.wordSet.alsoVisualizeH=V izpis bodo vključeni tudi izbrani podatki.
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label.wordSet.displayTaxonomyH=Izpisana bo tudi razporeditev besednih nizov po taksonomiji korpusa.
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label.wordSet.skipValueH=Vnesite največje število besed, ki se lahko pojavijo med dvema besedama v nizu.
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label.wordSet.ngramValueH=Program bo izpisal nize z izbranim številom pojavnic.
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label.wordSet.notePunctuationsH=V besedne nize bodo vključena tudi ločila.
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label.wordSet.collocabilityH=Izračunana bo tudi stopnja povezovalnosti med besedami v nizu glede na izbrane mere.
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label.wordSet.msdH=Prešteti bodo samo besedni nizi z določeno oznako.
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label.wordSet.taxonomyH=Besedni nizi bodo izpisani samo iz izbranih taksonomskih vej.
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label.wordSet.minimalOccurrencesH=Besedni nizi, ki se pojavijo redkeje, ne bodo vključeni v izpis.
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label.wordSet.minimalTaxonomyH=Besedni nizi, ki so prisotni v manj vejah, ne bodo vključeni v izpis.
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label.wordSet.calculateForH=Specify the units from which word sets will be extracted.
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label.wordSet.alsoVisualizeH=The output will also include the selected data.
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label.wordSet.displayTaxonomyH=The output will also contain the distribution of word sets across the corpus taxonomy.
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label.wordSet.skipValueH=Enter the maximum number of words that can appear between two words in a word set.
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label.wordSet.ngramValueH=The program will extract word sets with the specified number of tokens.
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label.wordSet.notePunctuationsH=Word sets will include punctuation.
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label.wordSet.collocabilityH=The program will also calculate collocability measures between words within the word set.
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label.wordSet.msdH=The program will only count word sets with the specified tag.
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label.wordSet.taxonomyH=Word sets will only be extracted from the selected taxonomy branches.
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label.wordSet.minimalOccurrencesH=Word sets with fewer occurrences will not be included in the output.
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label.wordSet.minimalTaxonomyH=Word sets that occur in fewer taxonomy branches will not be included in the output.
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# calculate for
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calculateFor.WORD=word
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calculateFor.NORMALIZED_WORD=normalized word
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calculateFor.LEMMA=lemma
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calculateFor.MORPHOSYNTACTIC_SPECS=msd
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calculateFor.MORPHOSYNTACTIC_PROPERTY=oblikoskladenjska lastnost
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calculateFor.MORPHOSYNTACTIC_SPECS=morphosyntactic tag
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calculateFor.MORPHOSYNTACTIC_PROPERTY=morphosyntactic property
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calculateFor.WORD_TYPE=word type
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calculateFor.DIST_WORDS=word
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calculateFor.DIST_LEMMAS=lemma
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# n-grams
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label.skipValue=Skip value
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label.slowSpeedWarning=* USAGE OF PREVIOUS FILTER MAY DECREASE ANALYZING SPEED
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label.ngramValue=N-gram level
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label.notePunctuations=Note punctuations
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label.slowSpeedWarning=WARNING! USING THE ABOVE FILTER MAY DECREASE PROCESSING SPEED!
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label.ngramValue=N-gram length
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label.notePunctuations=Include punctuation
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label.collocability=Collocability
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# taxonomy set operations
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@ -135,20 +135,20 @@ filter.solarSola=school
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filter.solarVrstaBesedila=type
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# messages
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message.WARNING_CORPUS_NOT_FOUND=In selected directory there are no suitable corpus files.
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message.WARNING_RESULTS_DIR_NOT_VALID=You don't have correct permissions to access chosen directory.
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message.WARNING_DIFFERING_NGRAM_LEVEL_AND_FILTER_TOKENS=Selected ngram level and number of entered words do not match.
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message.WARNING_DIFFERING_NGRAM_LEVEL_AND_FILTER_TOKENS_INFO=Choose other number or modify filter.
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message.WARNING_WORD_OR_LEMMA=Choose, if you want to calculate statistics for words or lemmas.
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message.WARNING_ONLY_NUMBERS_ALLOWED=Please enter valid number.
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message.WARNING_NUMBER_TOO_BIG=Entered number is bigger than the number of taxonomies.
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message.WARNING_MISMATCHED_NGRAM_AND_TOKENS_VALUES=Number for n-gram (%d) and number of msds included (%d) must match.
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message.WARNING_MISSING_STRING_LENGTH=String length must be higher than 0. Length is set up at default value (1).
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message.WARNING_NO_TAXONOMY_FOUND=We were unable to read taxonomy from corpus files. Please select other location or different corpus.
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message.WARNING_NO_SOLAR_FILTERS_FOUND=We weren't able to read filters from corpus files. Please select other location or different corpus.
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message.ERROR_WHILE_EXECUTING=Error in program execution.
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message.ERROR_WHILE_SAVING_RESULTS_TO_CSV=Error while saving results.
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message.ERROR_NOT_ENOUGH_MEMORY=You do not have sufficient RAM for analyzing such amount of data. You can try changing filters.
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message.WARNING_CORPUS_NOT_FOUND=No suitable corpus files have been found in the selected directory.
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message.WARNING_RESULTS_DIR_NOT_VALID=You do not have permission to access the selected directory.
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message.WARNING_DIFFERING_NGRAM_LEVEL_AND_FILTER_TOKENS=The specified n-gram length and number of words do not match.
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message.WARNING_DIFFERING_NGRAM_LEVEL_AND_FILTER_TOKENS_INFO=Choose another number or modify the filter.
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message.WARNING_WORD_OR_LEMMA=Specify if you want to calculate statistics for words or lemmas.
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message.WARNING_ONLY_NUMBERS_ALLOWED=Please enter a valid number.
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message.WARNING_NUMBER_TOO_BIG=The entered number is larger than the number of taxonomy branches.
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message.WARNING_MISMATCHED_NGRAM_AND_TOKENS_VALUES=The number for n-grams (%d) and number of tags included (%d) must match.
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message.WARNING_MISSING_STRING_LENGTH=String length must be higher than 0. Length is set to default value (1).
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message.WARNING_NO_TAXONOMY_FOUND=The program was unable to read the taxonomy from the corpus files. Please select another directory or a different corpus.
|
||||
message.WARNING_NO_SOLAR_FILTERS_FOUND=The program was unable to read the filters from corpus files. Please select another location or a different corpus.
|
||||
message.ERROR_WHILE_EXECUTING=An error occurred during program execution.
|
||||
message.ERROR_WHILE_SAVING_RESULTS_TO_CSV=An error occurred while saving results.
|
||||
message.ERROR_NOT_ENOUGH_MEMORY=Your memory is insufficient for analyzing such a large amount of data.
|
||||
message.ERROR_NO_REGI_FILE_FOUND=Missing file \"%s\".
|
||||
|
||||
message.MISSING_NGRAM_LEVEL=N-gram level
|
||||
|
|
@ -157,28 +157,28 @@ message.MISSING_SKIP=""
|
|||
message.MISSING_STRING_LENGTH=String length
|
||||
message.MISMATCHED_STRING_LENGTH_AND_MSD_REGEX=String length and regex filter do not match.
|
||||
|
||||
message.NOTIFICATION_FOUND_X_FILES=Num. of found files: %s
|
||||
message.NOTIFICATION_FOUND_X_FILES=Nr. of found files: %s
|
||||
message.NOTIFICATION_CORPUS=Corpus: %s
|
||||
message.NOTIFICATION_ANALYSIS_COMPLETED=Analysis completed. Results are saved successfully.
|
||||
message.NOTIFICATION_ANALYSIS_COMPLETED_NO_RESULTS=Analysis completed, however no statistics created that would match filters.
|
||||
message.RESULTS_PATH_SET_TO_DEFAULT=Save location is set on corpus location.
|
||||
message.NOTIFICATION_ANALYSIS_CANCELED=Analysis was cancled.
|
||||
message.NOTIFICATION_ANALYSIS_COMPLETED=Analysis complete. The results have been saved successfully.
|
||||
message.NOTIFICATION_ANALYSIS_COMPLETED_NO_RESULTS=Analysis complete, but it was not possible to calculate statistics to match all the specified conditions.
|
||||
message.RESULTS_PATH_SET_TO_DEFAULT=Save location is set to corpus location.
|
||||
message.NOTIFICATION_ANALYSIS_CANCELED=The analysis was canceled.
|
||||
|
||||
message.ONGOING_NOTIFICATION_ANALYZING_FILE_X_OF_Y=Analyzing file %d of %d (%s) - Estimated time remaining %d s
|
||||
message.CANCELING_NOTIFICATION=Canceled
|
||||
|
||||
message.LABEL_CORPUS_LOCATION_NOT_SET=Corpus location is not set
|
||||
message.LABEL_RESULTS_LOCATION_NOT_SET=Result location is not set
|
||||
message.LABEL_CORPUS_LOCATION_NOT_SET=Corpus location is not set.
|
||||
message.LABEL_RESULTS_LOCATION_NOT_SET=Result location is not set.
|
||||
message.LABEL_RESULTS_CORPUS_TYPE_NOT_SET=Corpus type is not set.
|
||||
|
||||
message.LABEL_SCANNING_CORPUS=Search and analysis of corpus files...
|
||||
message.LABEL_SCANNING_CORPUS=Searching for and analyzing corpus files...
|
||||
message.LABEL_SCANNING_SINGLE_FILE_CORPUS=Input analysis
|
||||
message.COMPLETED=Completed
|
||||
|
||||
#message.TOOLTIP_chooseCorpusLocationB=Select folder which contains corpus. The folder should only contain one corpus and should not contain too many files that are not part of corpus.
|
||||
#message.TOOLTIP_readHeaderInfoChB=If you select this option taxonomy will be read separately. This might take a while.
|
||||
message.TOOLTIP_readNotePunctuationsChB=Punctuations in sentences are included in analysis
|
||||
message.TOOLTIP_readDisplayTaxonomyChB=Output file will include statistics over taxonomies as well.
|
||||
message.TOOLTIP_readNotePunctuationsChB=The punctuation in sentences is included in the analysis.
|
||||
message.TOOLTIP_readDisplayTaxonomyChB=The output file will include the distribution across the taxonomy branches.
|
||||
|
||||
windowTitles.error=Error
|
||||
windowTitles.warning=Warning
|
||||
|
|
@ -189,27 +189,27 @@ exportHeader.corpus=Corpus:
|
|||
exportHeader.date=Date:
|
||||
exportHeader.executionTime=Execution time:
|
||||
exportHeader.analysis=Analysis:
|
||||
exportHeader.analysis.letters=letters
|
||||
exportHeader.analysis.letters=characters
|
||||
exportHeader.analysis.wordParts=word parts
|
||||
exportHeader.analysis.words=words
|
||||
exportHeader.analysis.wordSets=Word sets
|
||||
exportHeader.numberLetters=Number of letters:
|
||||
exportHeader.analysis.wordSets=word sets
|
||||
exportHeader.numberLetters=Number of characters:
|
||||
exportHeader.calculateFor=Calculate for:
|
||||
exportHeader.alsoFilter=Also filter:
|
||||
exportHeader.displayTaxonomies=Display taxonomies:
|
||||
exportHeader.alsoFilter=Also split by:
|
||||
exportHeader.displayTaxonomies=Display taxonomy branches:
|
||||
exportHeader.ngramLevel=N-gram level:
|
||||
exportHeader.skipValue=Skip value:
|
||||
exportHeader.notePunctuations=Note punctuations:
|
||||
exportHeader.notePunctuations=Include punctuation:
|
||||
exportHeader.collocability=Collocability:
|
||||
exportHeader.writeMSDAtTheEnd=Write MSD at the end:
|
||||
exportHeader.prefixLength=Prefix length:
|
||||
exportHeader.suffixLength=Suffix length:
|
||||
exportHeader.prefixList=Prefix list:
|
||||
exportHeader.suffixList=Suffix list:
|
||||
exportHeader.msd=MSD:
|
||||
exportHeader.taxonomy=Taxonomy:
|
||||
exportHeader.minOccurrences=Min. n. occurrences:
|
||||
exportHeader.minTaxonomies=Min. n. taxonomies:
|
||||
exportHeader.writeMSDAtTheEnd=Write tag at the end:
|
||||
exportHeader.prefixLength=Initial part length:
|
||||
exportHeader.suffixLength=Final part length:
|
||||
exportHeader.prefixList=Initial part list:
|
||||
exportHeader.suffixList=Final part list:
|
||||
exportHeader.msd=Morphosyntactic tag:
|
||||
exportHeader.taxonomy=Filter by taxonomy:
|
||||
exportHeader.minOccurrences=Min. nr. occurrences:
|
||||
exportHeader.minTaxonomies=Min. nr. taxonomy branches:
|
||||
exportHeader.additionalFilters=Additional filters:
|
||||
exportHeader.yes=yes
|
||||
exportHeader.no=no
|
||||
|
|
@ -217,10 +217,10 @@ exportHeader.taxonomySetOperation=Filter taxonomy by:
|
|||
|
||||
# export table header translations
|
||||
exportTable.skippedWords=Skipped words
|
||||
exportTable.lettersSmall=Letters (small letters)
|
||||
exportTable.wordsSmall=Lemma (small letters)
|
||||
exportTable.wordBeginning=Word beginning
|
||||
exportTable.wordEnding=Word ending
|
||||
exportTable.lettersSmall=Characters (lower case)
|
||||
exportTable.wordsSmall=Lemma (lower case)
|
||||
exportTable.wordBeginning=Initial part of the word
|
||||
exportTable.wordEnding=Final part of the word
|
||||
exportTable.wordRest=The rest of the word
|
||||
exportTable.totalRelativeFrequency=Total relative frequency (over one million occurrences)
|
||||
exportTable.absoluteFrequency=Absolute frequency
|
||||
|
|
@ -235,7 +235,7 @@ exportTable.part.msd=msd:
|
|||
exportTable.part.msdProperty=msd property:
|
||||
exportTable.part.wordType=word type:
|
||||
|
||||
exportTable.part.letterSet=letter set
|
||||
exportTable.part.letterSet=character set
|
||||
exportTable.part.word2=word
|
||||
exportTable.part.normalizedWord2=normalized word
|
||||
exportTable.part.lemma2=lemma
|
||||
|
|
|
|||
|
|
@ -9,7 +9,7 @@ button.cancel=Prekini
|
|||
# template
|
||||
tab.corpusTab=Korpus
|
||||
tab.filterTab=Filter
|
||||
tab.characterLevelTabNew=Črke
|
||||
tab.characterLevelTabNew=Znaki
|
||||
tab.wordLevelTab=Besedni deli
|
||||
tab.oneWordAnalysisTab=Besede
|
||||
tab.stringLevelTabNew2=Besedni nizi
|
||||
|
|
@ -24,14 +24,14 @@ button.chooseResultsLocation=Ponastavi
|
|||
label.selectReader=Izberi bralnik
|
||||
label.outputName=Ime izhodne datoteke
|
||||
|
||||
label.corpusTab.chooseCorpusLocationH=Izberite mapo v kateri se nahaja korpus. Program izbrano mapo preišče rekurzivno, zato bodite pozorni, da ne izberete mape z več korpusi ali z mnogo datotekami, ki niso del korpusa.
|
||||
label.corpusTab.readHeaderInfoH=Če izberete to opcijo, se bo iz headerjev korpusa prebrala razpoložljiva taksonomija oz. filtri (korpus Šolar). Ta operacija lahko traja dlje časa, sploh če je korpus združen v eni sami datoteki.
|
||||
label.corpusTab.chooseCorpusLocationH=Izberite mapo, v kateri se nahaja korpus. Program izbrano mapo preišče rekurzivno, zato bodite pozorni, da ne izberete mape z več korpusi ali z mnogo datotekami, ki niso del korpusa.
|
||||
label.corpusTab.readHeaderInfoH=Če izberete to opcijo, se bo iz korpusnih datotek prebrala razpoložljiva taksonomija oz. filtri. Ta operacija lahko traja dlje časa, sploh če je korpus združen v eni sami datoteki.
|
||||
label.corpusTab.chooseResultsLocationH=Nastavi lokacijo rezultatov
|
||||
label.corpusTab.selectReaderH=Izberi bralnik
|
||||
label.corpusTab.outputNameH=Ime izhodne datoteke
|
||||
|
||||
# character analysis tab
|
||||
label.stringLength=Dolžina črkovnih nizov
|
||||
label.stringLength=Dolžina znakovnih nizov
|
||||
label.calculateFor=Preštej
|
||||
label.displayTaxonomy=Izpiši taksonomske veje
|
||||
label.dataLimit=Omejitev podatkov
|
||||
|
|
@ -44,30 +44,30 @@ label.solarFilters=Izbrani filtri:
|
|||
string.lemma=lema
|
||||
string.word=oblika
|
||||
|
||||
label.letter.stringLengthH=Vnesite dolžino črkovnih nizov za izpis.
|
||||
label.letter.calculateForH=Črkovni nizi bodo prešteti v izbranih enotah.
|
||||
label.letter.displayTaxonomyH=Izpisana bo tudi razporeditev črkovnih nizov po taksonomiji korpusa.
|
||||
label.letter.msdH=Črkovni nizi bodo prešteti samo v besedah z določeno oznako.
|
||||
label.letter.taxonomyH=Črkovni nizi bodo prešteti samo v izbranih vrstah besedil.
|
||||
label.letter.minimalOccurrencesH=Črkovni nizi z manj pojavitvami ne bodo vključeni v izpis.
|
||||
label.letter.minimalTaxonomyH=Črkovni nizi, prisotni v manj taksonomskih vejah, ne bodo vključeni v izpis.
|
||||
label.letter.stringLengthH=Vnesite dolžino znakovnih nizov za izpis.
|
||||
label.letter.calculateForH=Znakovni nizi bodo prešteti v izbranih enotah.
|
||||
label.letter.displayTaxonomyH=Izpisana bo tudi razporeditev znakovnih nizov po taksonomiji korpusa.
|
||||
label.letter.msdH=Znakovni nizi bodo prešteti samo v besedah z določeno oznako.
|
||||
label.letter.taxonomyH=Znakovni nizi bodo prešteti samo v izbranih vrstah besedil.
|
||||
label.letter.minimalOccurrencesH=Znakovni nizi z manj pojavitvami ne bodo vključeni v izpis.
|
||||
label.letter.minimalTaxonomyH=Znakovni nizi, prisotni v manj taksonomskih vejah, ne bodo vključeni v izpis.
|
||||
label.letter.taxonomySetOperationH=Izpisuj iz besedil, ki ustrezajo vsaj eni od izbranih vej (unija) ali vsem izbranim vejam (presek)
|
||||
|
||||
# word part tab
|
||||
label.alsoVisualize=Upoštevaj tudi
|
||||
label.lengthSearch=Štetje besednih delov glede na dolžino
|
||||
label.prefixLength=Predpona je dolga
|
||||
label.suffixLength=Pripona je dolga
|
||||
label.prefixLength=Začetni del besede
|
||||
label.suffixLength=Končni del besede
|
||||
label.listSearch=Iskanje besednih delov s pomočjo seznama
|
||||
label.prefixList=Seznam predpon
|
||||
label.suffixList=Seznam pripon
|
||||
label.prefixList=Seznam začetnih delov
|
||||
label.suffixList=Seznam končnih delov
|
||||
|
||||
label.wordPart.calculateForH=Besedni deli bodo prešteti v izbranih enotah.
|
||||
label.wordPart.alsoVisualizeH=V izpis bodo vključeni tudi izbrani podatki.
|
||||
label.wordPart.displayTaxonomyH=Izpisana bo tudi razporeditev besednih delov po taksonomiji korpusa.
|
||||
label.wordPart.prefixLengthH=
|
||||
label.wordPart.suffixLengthH=Določite dolžino (v številu črk) začetnega in/ali končnega dela besede.
|
||||
label.wordPart.prefixListH=
|
||||
label.wordPart.prefixLengthH=Določite dolžino (v številu znakov) začetnega dela besede.
|
||||
label.wordPart.suffixLengthH=Določite dolžino (v številu znakov) končnega dela besede.
|
||||
label.wordPart.prefixListH=Besedne dele, ki jih želite iskati, ločite s podpičjem (npr. iti; ati).
|
||||
label.wordPart.suffixListH=Besedne dele, ki jih želite iskati, ločite s podpičjem (npr. pre; raz).
|
||||
label.wordPart.msdH=Besedni deli bodo prešteti samo v besedah z določeno oznako.
|
||||
label.wordPart.taxonomyH=Besedni deli bodo prešteti samo v izbranih vrstah besedil.
|
||||
|
|
@ -87,7 +87,7 @@ label.word.minimalOccurrencesH=Besede, ki se pojavijo redkeje, ne bodo vključen
|
|||
label.word.minimalTaxonomyH=Besede, ki so prisotne v manj vejah, ne bodo vključene v izpis.
|
||||
|
||||
# word sets tab
|
||||
label.wordSet.calculateForH=Določite, iz katerih enot bodo izpisani nizi.
|
||||
label.wordSet.calculateForH=Določite, iz katerih enot bodo izpisani besedni nizi.
|
||||
label.wordSet.alsoVisualizeH=V izpis bodo vključeni tudi izbrani podatki.
|
||||
label.wordSet.displayTaxonomyH=Izpisana bo tudi razporeditev besednih nizov po taksonomiji korpusa.
|
||||
label.wordSet.skipValueH=Vnesite največje število besed, ki se lahko pojavijo med dvema besedama v nizu.
|
||||
|
|
@ -115,7 +115,7 @@ taxonomySetOperation.INTERSECTION=preseku
|
|||
|
||||
# n-grams
|
||||
label.skipValue=Preskok besed
|
||||
label.slowSpeedWarning=* IZBIRA PREDHODNEGA FILTRA LAHKO MOČNO UPOČASNI DELOVANJE
|
||||
label.slowSpeedWarning=POZOR - IZBIRA ZGORNJEGA FILTRA LAHKO MOČNO UPOČASNI DELOVANJE!
|
||||
label.ngramValue=Dolžina niza
|
||||
label.notePunctuations=Upoštevaj ločila
|
||||
label.collocability=Izpiši mere povezovalnosti
|
||||
|
|
@ -135,23 +135,23 @@ filter.solarSola=sola
|
|||
filter.solarVrstaBesedila=tip
|
||||
|
||||
# messages
|
||||
message.WARNING_CORPUS_NOT_FOUND=V izbranem direktoriju ni ustreznih korpusnih datotek.
|
||||
message.WARNING_CORPUS_NOT_FOUND=V izbranem direktoriju ni mogoče najti ustreznih korpusnih datotek.
|
||||
message.WARNING_RESULTS_DIR_NOT_VALID=Za dostop do izbranega direktorija nimate potrebnih pravic.
|
||||
message.WARNING_DIFFERING_NGRAM_LEVEL_AND_FILTER_TOKENS=Izbran nivo ngramov in vpisano št. besed v filtru se ne ujemata.
|
||||
message.WARNING_DIFFERING_NGRAM_LEVEL_AND_FILTER_TOKENS=Izbrani nivo n-gramov in vpisano št. besed v filtru se ne ujemata.
|
||||
message.WARNING_DIFFERING_NGRAM_LEVEL_AND_FILTER_TOKENS_INFO=Izberite drugo število ali popravite filter.
|
||||
message.WARNING_WORD_OR_LEMMA=Izberite, če želite statistiko izračunati za besede ali leme.
|
||||
message.WARNING_ONLY_NUMBERS_ALLOWED=Prosim vnesite veljavno število.
|
||||
message.WARNING_NUMBER_TOO_BIG=Vnešeno število je večje od števila taksonomij.
|
||||
message.WARNING_MISMATCHED_NGRAM_AND_TOKENS_VALUES=Število za ngram (%d) in število msd oznak (%d) se morata ujemati.
|
||||
message.WARNING_WORD_OR_LEMMA=Izberite, ali želite statistiko izračunati za besede ali leme.
|
||||
message.WARNING_ONLY_NUMBERS_ALLOWED=Preverite, ali ste vnesli veljavno število.
|
||||
message.WARNING_NUMBER_TOO_BIG=Vneseno število ne sme biti večje od števila taksonomij.
|
||||
message.WARNING_MISMATCHED_NGRAM_AND_TOKENS_VALUES=Število za n-gram (%d) in število oblikoskladenjskih oznak (%d) se morata ujemati.
|
||||
message.WARNING_MISSING_STRING_LENGTH=Dolžina niza mora biti večja od 0. Vstavljena je privzeta vrednost (1).
|
||||
message.WARNING_NO_TAXONOMY_FOUND=Iz korpusnih datotek ni bilo moč razbrati taksonomije. Prosim izberite drugo lokacijo ali korpus.
|
||||
message.WARNING_NO_SOLAR_FILTERS_FOUND=Iz korpusnih datotek ni bilo moč razbrati filtrov. Prosim izberite drugo lokacijo ali korpus.
|
||||
message.WARNING_NO_TAXONOMY_FOUND=Iz korpusnih datotek ni bilo mogoče razbrati taksonomije. Izberite drugo lokacijo ali korpus.
|
||||
message.WARNING_NO_SOLAR_FILTERS_FOUND=Iz korpusnih datotek ni bilo mogoče razbrati filtrov. Izberite drugo lokacijo ali korpus.
|
||||
message.ERROR_WHILE_EXECUTING=Prišlo je do napake med izvajanjem.
|
||||
message.ERROR_WHILE_SAVING_RESULTS_TO_CSV=Prišlo je do napake med shranjevanje rezultatov.
|
||||
message.ERROR_NOT_ENOUGH_MEMORY=Na voljo imate premalo pomnilnika (RAM-a) za analizo takšne količine podatkov.
|
||||
message.ERROR_WHILE_SAVING_RESULTS_TO_CSV=Prišlo je do napake med shranjevanjem rezultatov.
|
||||
message.ERROR_NOT_ENOUGH_MEMORY=Za analizo tolikšne količine podatkov imate na voljo premalo pomnilnika.
|
||||
message.ERROR_NO_REGI_FILE_FOUND=Manjka datoteka \"%s\".
|
||||
|
||||
message.MISSING_NGRAM_LEVEL=N-gram nivo
|
||||
message.MISSING_NGRAM_LEVEL=Nivo n-grama
|
||||
message.MISSING_CALCULATE_FOR=Izračunaj za
|
||||
message.MISSING_SKIP=""
|
||||
message.MISSING_STRING_LENGTH=Dolžina niza
|
||||
|
|
@ -160,20 +160,20 @@ message.MISMATCHED_STRING_LENGTH_AND_MSD_REGEX=Neujemajoča dolžina niza in reg
|
|||
message.NOTIFICATION_FOUND_X_FILES=Št. najdenih datotek: %s
|
||||
message.NOTIFICATION_CORPUS=Korpus: %s
|
||||
message.NOTIFICATION_ANALYSIS_COMPLETED=Analiza je zaključena, rezultati so shranjeni.
|
||||
message.NOTIFICATION_ANALYSIS_COMPLETED_NO_RESULTS=Analiza je zaključena, vendar ni bilo moč izračunati statistike, ki bi ustrezala vsem navedenim pogojem.
|
||||
message.NOTIFICATION_ANALYSIS_COMPLETED_NO_RESULTS=Analiza je zaključena, vendar ni bilo mogoče izračunati statistike, ki bi ustrezala vsem navedenim pogojem.
|
||||
message.RESULTS_PATH_SET_TO_DEFAULT=Lokacija za shranjevanje rezultatov je nastavljena na lokacijo korpusa.
|
||||
message.NOTIFICATION_ANALYSIS_CANCELED=Analiziranje je bilo prekinjeno.
|
||||
message.NOTIFICATION_ANALYSIS_CANCELED=Analiza je bila prekinjena.
|
||||
|
||||
message.ONGOING_NOTIFICATION_ANALYZING_FILE_X_OF_Y=Analiziram datoteko %d od %d (%s) - Preostali čas %d s
|
||||
message.CANCELING_NOTIFICATION=Prekinjeno
|
||||
|
||||
message.LABEL_CORPUS_LOCATION_NOT_SET=Lokacija korpusa ni nastavljena
|
||||
message.LABEL_RESULTS_LOCATION_NOT_SET=Lokacija za shranjevanje rezultatov ni nastavljena
|
||||
message.LABEL_RESULTS_CORPUS_TYPE_NOT_SET=Vrsta korpusa ni nastavljena
|
||||
message.LABEL_CORPUS_LOCATION_NOT_SET=Lokacija korpusa ni nastavljena.
|
||||
message.LABEL_RESULTS_LOCATION_NOT_SET=Lokacija za shranjevanje rezultatov ni nastavljena.
|
||||
message.LABEL_RESULTS_CORPUS_TYPE_NOT_SET=Vrsta korpusa ni nastavljena.
|
||||
|
||||
message.LABEL_SCANNING_CORPUS=Iskanje in analiza korpusnih datotek ...
|
||||
message.LABEL_SCANNING_SINGLE_FILE_CORPUS=Analiza vnosa
|
||||
message.COMPLETED=končano
|
||||
message.COMPLETED=Končano.
|
||||
|
||||
#message.TOOLTIP_chooseCorpusLocationB=Izberite mapo v kateri se nahaja korpus. Program izbrano mapo preišče rekurzivno, zato bodite pozorni, da ne izberete mape z več korpusi ali z mnogo datotekami, ki niso del korpusa.
|
||||
#message.TOOLTIP_readHeaderInfoChB=Če izberete to opcijo, se bo iz headerjev korpusa prebrala razpoložljiva taksonomija oz. filtri (korpus Šolar). Ta operacija lahko traja dlje časa, sploh če je korpus združen v eni sami datoteki.
|
||||
|
|
@ -189,11 +189,11 @@ exportHeader.corpus=Korpus:
|
|||
exportHeader.date=Datum:
|
||||
exportHeader.executionTime=Čas izvajanja:
|
||||
exportHeader.analysis=Analiza:
|
||||
exportHeader.analysis.letters=črke
|
||||
exportHeader.analysis.letters=znaki
|
||||
exportHeader.analysis.wordParts=besedni deli
|
||||
exportHeader.analysis.words=besede
|
||||
exportHeader.analysis.wordSets=besedni nizi
|
||||
exportHeader.numberLetters=Dolžina črkovnih nizov:
|
||||
exportHeader.numberLetters=Dolžina znakovnih nizov:
|
||||
exportHeader.calculateFor=Preštej:
|
||||
exportHeader.alsoFilter=Upoštevaj tudi:
|
||||
exportHeader.displayTaxonomies=Izpiši taksonomske veje:
|
||||
|
|
@ -217,7 +217,7 @@ exportHeader.taxonomySetOperation=Filtriranje taksonomije po:
|
|||
|
||||
# export table header translations
|
||||
exportTable.skippedWords=Izpuščene besede
|
||||
exportTable.lettersSmall=Črkovni niz (male črke)
|
||||
exportTable.lettersSmall=Znakovni niz (male črke)
|
||||
exportTable.wordsSmall=Lema (male črke)
|
||||
exportTable.wordBeginning=Začetni del besede
|
||||
exportTable.wordEnding=Končni del besede
|
||||
|
|
@ -235,7 +235,7 @@ exportTable.part.msd=oblikoskladenjskih oznak:
|
|||
exportTable.part.msdProperty=oblikoskladenjskih lastnosti:
|
||||
exportTable.part.wordType=besednih vrst:
|
||||
|
||||
exportTable.part.letterSet=črkovnega niza
|
||||
exportTable.part.letterSet=znakovnega niza
|
||||
exportTable.part.word2=oblike
|
||||
exportTable.part.normalizedWord2=normalizirane oblike
|
||||
exportTable.part.lemma2=leme
|
||||
|
|
@ -243,8 +243,8 @@ exportTable.part.msd2=oblikoskladenjske oznake
|
|||
exportTable.part.msdProperty2=oblikoskladenjske lastnosti
|
||||
exportTable.part.wordType2=besedne vrste
|
||||
|
||||
exportTable.part.letterSet2=Delež glede na skupno vsoto vseh najdenih črkovnih nizov
|
||||
exportTable.part.letterSet3=Črkovni niz
|
||||
exportTable.part.letterSet2=Delež glede na skupno vsoto vseh najdenih znakovnih nizov
|
||||
exportTable.part.letterSet3=Znakovni niz
|
||||
exportTable.part.word3=Oblika
|
||||
exportTable.part.normalizedWord3=Normalizirana oblika
|
||||
exportTable.part.lemma3=Lema
|
||||
|
|
@ -256,12 +256,12 @@ exportTable.part.set=niza
|
|||
exportTable.part.share=Delež glede na vse najdene
|
||||
exportTable.part.absoluteFrequency=Skupna absolutna pogostost
|
||||
exportTable.part.totalFound=Skupna vsota vseh najdenih
|
||||
exportTable.part.totalFoundLetters=Skupna vsota vseh najdenih črkovnih nizov
|
||||
exportTable.part.totalFoundLetters=Skupna vsota vseh najdenih znakovnih nizov
|
||||
exportTable.part.totalSumString=Skupna vsota vseh
|
||||
exportTable.part.totalSumLetters=Skupna vsota vseh črkovnih nizov
|
||||
exportTable.part.totalSumLetters=Skupna vsota vseh znakovnih nizov
|
||||
|
||||
# generated files names
|
||||
exportFileName.letters=crke
|
||||
exportFileName.letters=znaki
|
||||
exportFileName.wordParts=besedni-deli
|
||||
exportFileName.words=besede
|
||||
exportFileName.wordSets=besedni-nizi
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user