parent
ca83cb023b
commit
5e686ff681
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package gui;
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import com.sun.javafx.collections.ObservableListWrapper;
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import javafx.beans.binding.Bindings;
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import javafx.beans.binding.ObjectBinding;
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import javafx.beans.binding.StringBinding;
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import javafx.beans.property.ObjectProperty;
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import javafx.beans.property.SimpleObjectProperty;
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import javafx.beans.value.ObservableValue;
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import javafx.collections.FXCollections;
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import javafx.collections.ObservableList;
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import javafx.scene.control.Button;
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import javafx.scene.control.Label;
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import javafx.scene.control.Tooltip;
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import java.io.UnsupportedEncodingException;
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import java.text.MessageFormat;
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import java.util.*;
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import java.util.concurrent.Callable;
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public final class I18N {
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private static final ObjectProperty<Locale> locale;
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static {
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locale = new SimpleObjectProperty<>(getDefaultLocale());
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locale.addListener((observable, oldValue, newValue) -> Locale.setDefault(newValue));
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}
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/**
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* get the supported Locales.
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*
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* @return List of Locale objects.
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*/
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public static List<Locale> getSupportedLocales() {
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return new ArrayList<>(Arrays.asList(new Locale.Builder().setLanguage("sl").setRegion("SI").build(), Locale.ENGLISH));
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}
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/**
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* get the default locale. This is the systems default if contained in the supported locales, english otherwise.
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*
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* @return
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*/
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public static Locale getDefaultLocale() {
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Locale sysDefault = Locale.getDefault();
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return getSupportedLocales().contains(sysDefault) ? sysDefault : new Locale.Builder().setLanguage("sl").setRegion("SI").build();
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}
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public static Locale getLocale() {
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return locale.get();
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}
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public static void setLocale(Locale locale) {
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localeProperty().set(locale);
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Locale.setDefault(locale);
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}
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public static ObjectProperty<Locale> localeProperty() {
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return locale;
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}
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/**
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* gets the string with the given key from the resource bundle for the current locale and uses it as first argument
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* to MessageFormat.format, passing in the optional args and returning the result.
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*
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* @param key
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* message key
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* @param args
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* optional arguments for the message
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* @return localized formatted string
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*/
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public static String get(final String key, final Object... args) {
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ResourceBundle bundle = ResourceBundle.getBundle("message", getLocale());
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String val = bundle.getString(key);
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try {
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return MessageFormat.format(new String(val.getBytes("ISO-8859-1"), "UTF-8"), args);
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} catch (UnsupportedEncodingException e) {
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e.printStackTrace();
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}
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return val;
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// return MessageFormat.format(bundle.getString(key), args);
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}
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public static ObservableList<String> getObject(final ArrayList<String> keys, final Object... args) {
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ResourceBundle bundle = ResourceBundle.getBundle("message", getLocale());
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ArrayList<String> results = new ArrayList<>();
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for(String key : keys){
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String val = bundle.getString(key);
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try {
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results.add(MessageFormat.format(new String(val.getBytes("ISO-8859-1"), "UTF-8"), args));
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} catch (UnsupportedEncodingException e) {
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e.printStackTrace();
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}
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}
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return FXCollections.observableArrayList(results);
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}
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/**
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* creates a String binding to a localized String for the given message bundle key
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*
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* @param key
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* key
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* @return String binding
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*/
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public static StringBinding createStringBinding(final String key, Object... args) {
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return Bindings.createStringBinding(() -> get(key, args), locale);
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}
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// public static ObservableValue<ObservableList<String>> createListStringBinding(final String key, Object... args) {
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// ObservableList<StringBinding> r = (ObservableList<StringBinding>) new ArrayList<StringBinding>();
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// r.add(Bindings.createStringBinding(() -> get(key, args), locale));
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// return r;
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// }
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/**
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* creates a Object Binding to a localized Object that is computed by calling the given func
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*
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* @param func
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* function called on every change
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* @return StringBinding
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*/
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public static StringBinding createStringBinding(Callable<String> func) {
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return Bindings.createStringBinding(func, locale);
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}
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/**
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* creates a String binding to a localized String for the given message bundle key
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*
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* @param keys
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* key
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* @return ObjectBinding
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*/
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public static ObjectBinding createObjectBinding(final ArrayList<String> keys, Object... args) {
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return Bindings.createObjectBinding(() -> getObject(keys, args), locale);
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}
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// public static ObservableValue<ObservableList<String>> createListStringBinding(final String key, Object... args) {
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// ObservableList<StringBinding> r = (ObservableList<StringBinding>) new ArrayList<StringBinding>();
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// r.add(Bindings.createStringBinding(() -> get(key, args), locale));
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// return r;
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// }
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/**
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* creates a String Binding to a localized String that is computed by calling the given func
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*
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* @param func
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* function called on every change
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* @return ObjectBinding
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*/
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public static ObjectBinding createObjectBinding(Callable<String> func) {
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return Bindings.createObjectBinding(func, locale);
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}
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public static String getIndependent(final String key, Locale locale, final Object... args) {
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ResourceBundle bundle = ResourceBundle.getBundle("message", locale);
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String val = bundle.getString(key);
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try {
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return MessageFormat.format(new String(val.getBytes("ISO-8859-1"), "UTF-8"), args);
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} catch (UnsupportedEncodingException e) {
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e.printStackTrace();
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}
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return val;
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// return MessageFormat.format(bundle.getString(key), args);
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}
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public static String getTranslatedValue(String oldValue, ArrayList<String> nGramComputeForLetters) {
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Locale loc;
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if(getLocale().equals(Locale.ENGLISH)) {
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loc = new Locale.Builder().setLanguage("sl").setRegion("SI").build();
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} else {
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loc = Locale.ENGLISH;
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}
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for (String el : nGramComputeForLetters){
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if (oldValue.equals(getIndependent(el, loc))){
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return get(el);
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}
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}
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// in case translated language doesn't contain specified word, try original language
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for (String el : nGramComputeForLetters){
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if (oldValue.equals(get(el))){
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return get(el);
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}
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}
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return null;
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}
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/**
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* Returns translated FXCollection
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*
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* @param words
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* function called on every change
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* @return ObjectBinding
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*/
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public static ObservableList<String> translatedObservableList(ArrayList<String> words){
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ArrayList<String> translatedWords = new ArrayList<>();
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for (String word : words){
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translatedWords.add(get(word));
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}
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return FXCollections.observableArrayList(translatedWords);
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}
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/**
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* DUPLICATE OF toString()
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* searches for possible values in translations and returns key of the string
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* == .toString()
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*
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* @param w, prefix
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* function called on every change
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* @return ObjectBinding
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*/
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public static String findI18NString(String w, String prefix){
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ResourceBundle bundle = ResourceBundle.getBundle("message", getLocale());
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for (String key : bundle.keySet()){
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if(prefix.length() > key.length() || !key.substring(0, prefix.length()).equals(prefix)){
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continue;
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}
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String val = bundle.getString(key);
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try {
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String newVal = new String(val.getBytes("ISO-8859-1"), "UTF-8");
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if (newVal.equals(w)){
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return key;
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}
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} catch (UnsupportedEncodingException e) {
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e.printStackTrace();
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}
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}
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return null;
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}
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}
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# general
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window.title=Corpus analyzer
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hyperlink.help=Help
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button.language=SL
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button.computeNgrams=Calculate
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button.cancel=Cancel
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# template
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tab.corpusTab=Corpus
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tab.filterTab=Filter
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tab.characterLevelTabNew=Characters
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tab.wordLevelTab=Word parts
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tab.oneWordAnalysisTab=Words
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tab.stringLevelTabNew2=Word sets
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# corpus tab
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button.setCorpusLocation=Set corpus location
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checkBox.readHeaderInfo=Read info from headers
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button.chooseResultsLocation=Choose result location
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# character analysis tab
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label.stringLength=Number of letters
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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.solarFilters=Selected filters:
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string.lemma=lemma
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string.word=word
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# word level 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.writeMsdAtTheEnd=Write MSD at the end
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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.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.collocability=Collocability
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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.MISSING_NGRAM_LEVEL=N-gram level
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message.MISSING_CALCULATE_FOR=Calculate for
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message.MISSING_SKIP=""
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message.MISSING_STRING_LENGTH=String length
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message.MISMATCHED_STRING_LENGTH_AND_MSD_REGEX=String length and regex filter do not match.
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message.NOTIFICATION_FOUND_X_FILES=Num. of found files: %s
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message.NOTIFICATION_CORPUS=Corpus: %s
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message.NOTIFICATION_ANALYSIS_COMPLETED=Analysis completed. Results are saved successfully.
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message.NOTIFICATION_ANALYSIS_COMPLETED_NO_RESULTS=Analysis completed, however no statistics created that would match filters.
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message.RESULTS_PATH_SET_TO_DEFAULT=Save location is set on corpus location.
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message.NOTIFICATION_ANALYSIS_CANCELED=Analysis was cancled.
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message.ONGOING_NOTIFICATION_ANALYZING_FILE_X_OF_Y=Analyzing file %d of %d (%s)
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message.CANCELING_NOTIFICATION=Canceled
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message.LABEL_CORPUS_LOCATION_NOT_SET=Corpus location is not set
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message.LABEL_RESULTS_LOCATION_NOT_SET=Result location is not set
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message.LABEL_RESULTS_CORPUS_TYPE_NOT_SET=Corpus type is not set.
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message.LABEL_SCANNING_CORPUS=Search and analysis of corpus files...
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message.LABEL_SCANNING_SINGLE_FILE_CORPUS=Input analysis
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message.COMPLETED=Completed
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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.
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message.TOOLTIP_readHeaderInfoChB=If you select this option taxonomy will be read separately. This might take a while.
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message.TOOLTIP_readNotePunctuationsChB=Punctuations in sentences are included in analysis
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message.TOOLTIP_readDisplayTaxonomyChB=Output file will include statistics over taxonomies as well.
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windowTitles.error=Error
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windowTitles.warning=Warning
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windowTitles.confirmation=Confirmation
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# export header translations
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exportHeader.corpus=Corpus:
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exportHeader.date=Date:
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exportHeader.executionTime=Execution time:
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exportHeader.analysis=Analysis:
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exportHeader.analysis.letters=letters
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exportHeader.analysis.wordParts=word parts
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exportHeader.analysis.words=words
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exportHeader.analysis.wordSets=Word sets
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exportHeader.numberLetters=Number of letters:
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exportHeader.calculateFor=Calculate for:
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exportHeader.alsoFilter=Also filter:
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exportHeader.displayTaxonomies=Display taxonomies:
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exportHeader.ngramLevel=N-gram level:
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exportHeader.skipValue=Skip value:
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exportHeader.notePunctuations=Note punctuations:
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exportHeader.collocability=Collocability:
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exportHeader.writeMSDAtTheEnd=Write MSD at the end:
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exportHeader.prefixLength=Prefix length:
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exportHeader.suffixLength=Suffix length:
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exportHeader.prefixList=Prefix list:
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exportHeader.suffixList=Suffix list:
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exportHeader.msd=MSD:
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exportHeader.taxonomy=Taxonomy:
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exportHeader.minOccurrences=Min. n. occurrences:
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exportHeader.minTaxonomies=Min. n. taxonomies:
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exportHeader.additionalFilters=Additional filters:
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exportHeader.yes=yes
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exportHeader.no=no
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# export table header translations
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exportTable.skippedWords=Skipped words
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exportTable.lettersSmall=Letters (small letters)
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exportTable.wordsSmall=Lemma (small letters)
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exportTable.wordBeginning=Word beginning
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exportTable.wordEnding=Word ending
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exportTable.wordRest=The rest of the word
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exportTable.totalRelativeFrequency=Total relative frequency (over one million occurrences)
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exportTable.absoluteFrequency=Absolute frequency
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exportTable.percentage=Share
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exportTable.relativeFrequency=Relative frequency
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exportTable.msd=msd
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# parts
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exportTable.part.word=words:
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exportTable.part.normalizedWord=normalized words:
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exportTable.part.lemma=lemmas:
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exportTable.part.msd=msd:
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exportTable.part.msdProperty=msd property:
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exportTable.part.wordType=word type:
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exportTable.part.letterSet=letter set
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exportTable.part.word2=word
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exportTable.part.normalizedWord2=normalized word
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exportTable.part.lemma2=lemma
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exportTable.part.msd2=msd
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exportTable.part.msdProperty2=msd property
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exportTable.part.wordType2=word type
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exportTable.part.letterSet2=Share of total sum of all letter sets
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exportTable.part.letterSet3=Letter set
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exportTable.part.word3=Word
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exportTable.part.normalizedWord3=Normalized word
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exportTable.part.lemma3=Lemma
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exportTable.part.msd3=Msd
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exportTable.part.msdProperty3=Msd property
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exportTable.part.wordType3=Word type
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exportTable.part.set=set
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exportTable.part.share=Absolute share of
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exportTable.part.absoluteFrequency=Absolute frequency of
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exportTable.part.totalFound=Total sum of all
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exportTable.part.totalFoundLetters=Total sum of all found letters of
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exportTable.part.totalSumString=Total sum of
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exportTable.part.totalSumLetters=Total sum of all letters of
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# generated files names
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exportFileName.letters=letters
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exportFileName.wordParts=word-parts
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exportFileName.words=words
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exportFileName.wordSets=word-sets
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exportFileName.gram=-gram
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exportFileName.skip=-skip
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@ -0,0 +1,192 @@
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# general
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window.title=Luščilnik
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hyperlink.help=Pomoč
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button.language=EN
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button.computeNgrams=Izračunaj
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button.cancel=Prekini
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# template
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tab.corpusTab=Korpus
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tab.filterTab=Filter
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tab.characterLevelTabNew=Črke
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tab.wordLevelTab=Besedni deli
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tab.oneWordAnalysisTab=Besede
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tab.stringLevelTabNew2=Besedni nizi
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# corpus tab
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button.setCorpusLocation=Nastavi lokacijo korpusa
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checkBox.readHeaderInfo=Preberi info iz headerjev
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button.chooseResultsLocation=Nastavi lokacijo rezultatov
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# character analysis tab
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label.stringLength=Število črk
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label.calculateFor=Izračunaj za
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label.displayTaxonomy=Izpiši taksonomije
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label.dataLimit=Omejitev podatkov
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label.msd=Oznaka MSD
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label.taxonomy=Taksonomija
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label.minimalOccurrences=Min. št. pojavitev
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label.minimalTaxonomy=Min. št. taksonomij
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label.solarFilters=Izbrani filtri:
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string.lemma=lema
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string.word=različnica
|
||||
label.writeMsdAtTheEnd=Izpiši razbit MSD
|
||||
|
||||
# word level tab
|
||||
label.alsoVisualize=Upoštevaj tudi
|
||||
label.lengthSearch=Iskanje besednih delov preko podane dolžine
|
||||
label.prefixLength=Predpona je dolga
|
||||
label.suffixLength=Pripona je dolga
|
||||
label.listSearch=Iskanje besednih delov preko podanih predpon in pripon
|
||||
label.prefixList=Seznam predpon
|
||||
label.suffixList=Seznam pripon
|
||||
|
||||
# calculate for
|
||||
calculateFor.WORD=različnica
|
||||
calculateFor.NORMALIZED_WORD=normalizirana različnica
|
||||
calculateFor.LEMMA=lema
|
||||
calculateFor.MORPHOSYNTACTIC_SPECS=oblikoskladenjska oznaka
|
||||
calculateFor.MORPHOSYNTACTIC_PROPERTY=oblikoskladenjska lastnost
|
||||
calculateFor.WORD_TYPE=besedna vrsta
|
||||
calculateFor.DIST_WORDS=različnica
|
||||
calculateFor.DIST_LEMMAS=lema
|
||||
|
||||
# n-grams
|
||||
label.skipValue=Preskok besed
|
||||
label.slowSpeedWarning=* IZBIRA PREDHODNEGA FILTRA LAHKO MOČNO UPOČASNI DELOVANJE
|
||||
label.ngramValue=N-gram nivo
|
||||
label.notePunctuations=Upoštevaj ločila
|
||||
label.collocability=Kolokabilnost
|
||||
|
||||
# messages
|
||||
message.WARNING_CORPUS_NOT_FOUND=V izbranem direktoriju ni 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_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_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.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.MISSING_NGRAM_LEVEL=N-gram nivo
|
||||
message.MISSING_CALCULATE_FOR=Izračunaj za
|
||||
message.MISSING_SKIP=""
|
||||
message.MISSING_STRING_LENGTH=Dolžina niza
|
||||
message.MISMATCHED_STRING_LENGTH_AND_MSD_REGEX=Neujemajoča dolžina niza in regex filter
|
||||
|
||||
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.RESULTS_PATH_SET_TO_DEFAULT=Lokacija za shranjevanje rezultatov je nastavljena na lokacijo korpusa.
|
||||
message.NOTIFICATION_ANALYSIS_CANCELED=Analiziranje je bilo prekinjeno.
|
||||
|
||||
message.ONGOING_NOTIFICATION_ANALYZING_FILE_X_OF_Y=Analiziram datoteko %d od %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_SCANNING_CORPUS=Iskanje in analiza korpusnih datotek...
|
||||
message.LABEL_SCANNING_SINGLE_FILE_CORPUS=Analiza vnosa
|
||||
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.
|
||||
message.TOOLTIP_readNotePunctuationsChB=Ločila med povedmi se upoštevajo v vsakem primeru.
|
||||
message.TOOLTIP_readDisplayTaxonomyChB=V izhodni datoteki bodo prikazane tudi statistike po taksonomijah.
|
||||
|
||||
windowTitles.error=Napaka
|
||||
windowTitles.warning=Opozorilo
|
||||
windowTitles.confirmation=Potrdilo
|
||||
|
||||
# export header translations
|
||||
exportHeader.corpus=Korpus:
|
||||
exportHeader.date=Datum:
|
||||
exportHeader.executionTime=Čas izvajanja:
|
||||
exportHeader.analysis=Analiza:
|
||||
exportHeader.analysis.letters=črke
|
||||
exportHeader.analysis.wordParts=besedni deli
|
||||
exportHeader.analysis.words=besede
|
||||
exportHeader.analysis.wordSets=Besedni nizi
|
||||
exportHeader.numberLetters=Število črk:
|
||||
exportHeader.calculateFor=Izračunaj za:
|
||||
exportHeader.alsoFilter=Upoštevaj tudi:
|
||||
exportHeader.displayTaxonomies=Izpiši taksonomije:
|
||||
exportHeader.ngramLevel=N-gram nivo:
|
||||
exportHeader.skipValue=Preskok besed:
|
||||
exportHeader.notePunctuations=Upoštevaj ločila:
|
||||
exportHeader.collocability=Kolokabilnost:
|
||||
exportHeader.writeMSDAtTheEnd=Izpiši razbit MSD:
|
||||
exportHeader.prefixLength=Dolžina predpone:
|
||||
exportHeader.suffixLength=Dolžina pripone:
|
||||
exportHeader.prefixList=Seznam predpon:
|
||||
exportHeader.suffixList=Seznam pripon:
|
||||
exportHeader.msd=Oznaka MSD:
|
||||
exportHeader.taxonomy=Taksonomija:
|
||||
exportHeader.minOccurrences=Min. št. pojavitev:
|
||||
exportHeader.minTaxonomies=Min. št. taksonomij:
|
||||
exportHeader.additionalFilters=Dodatni filtri:
|
||||
exportHeader.yes=da
|
||||
exportHeader.no=ne
|
||||
|
||||
# export table header translations
|
||||
exportTable.skippedWords=Izpuščene besede
|
||||
exportTable.lettersSmall=Črkovni niz (male črke)
|
||||
exportTable.wordsSmall=Lema (male črke)
|
||||
exportTable.wordBeginning=Začetni del besede
|
||||
exportTable.wordEnding=Končni del besede
|
||||
exportTable.wordRest=Preostali del besede
|
||||
exportTable.totalRelativeFrequency=Skupna relativna pogostost (na milijon pojavitev)
|
||||
exportTable.absoluteFrequency=Absolutna pogostost
|
||||
exportTable.percentage=Delež
|
||||
exportTable.relativeFrequency=Relativna pogostost
|
||||
exportTable.msd=msd
|
||||
# parts
|
||||
exportTable.part.word=različnic:
|
||||
exportTable.part.normalizedWord=normaliziranih različnic:
|
||||
exportTable.part.lemma=lem:
|
||||
exportTable.part.msd=oblikoskladenjskih oznak:
|
||||
exportTable.part.msdProperty=oblikoskladenjskih lastnosti:
|
||||
exportTable.part.wordType=besednih vrst:
|
||||
|
||||
exportTable.part.letterSet=črkovnega niza
|
||||
exportTable.part.word2=različnice
|
||||
exportTable.part.normalizedWord2=normalizirane različnice
|
||||
exportTable.part.lemma2=leme
|
||||
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.word3=Različnica
|
||||
exportTable.part.normalizedWord3=Normalizirana različnica
|
||||
exportTable.part.lemma3=Lema
|
||||
exportTable.part.msd3=Oblikoskladenjska oznaka
|
||||
exportTable.part.msdProperty3=Oblikoskladenjska lastnost
|
||||
exportTable.part.wordType3=Besedna vrsta
|
||||
|
||||
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.totalSumString=Skupna vsota vseh
|
||||
exportTable.part.totalSumLetters=Skupna vsota vseh črkovnih nizov
|
||||
|
||||
# generated files names
|
||||
exportFileName.letters=crke
|
||||
exportFileName.wordParts=besedni-deli
|
||||
exportFileName.words=besede
|
||||
exportFileName.wordSets=besedni-nizi
|
||||
exportFileName.gram=-gram
|
||||
exportFileName.skip=-preskok
|
||||
Loading…
Reference in new issue