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.
label.corpusTab.readHeaderInfoH=If you select this option taxonomy will be read separately. This might take a while.
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.
label.corpusTab.readHeaderInfoH=If you select this option, the taxonomy will be read separately. This might take a while.
label.corpusTab.chooseResultsLocationH=Choose result location
label.corpusTab.selectReaderH=Select reader
label.corpusTab.outputNameH=Output file name
# character analysis tab
label.stringLength=Number of letters
label.stringLength=Number of characters
label.calculateFor=Calculate for
label.displayTaxonomy=Display taxonomies
label.dataLimit=Data limitations
label.msd=MSD
label.taxonomy=Taxonomy
label.minimalOccurrences=Min. n. occurrences
label.minimalTaxonomy=Min. n. taxonomies
label.msd=Morphosyntactic tag
label.taxonomy=Filter by taxonomy
label.minimalOccurrences=Min. nr. occurrences
label.minimalTaxonomy=Min. nr. tax. branches
label.taxonomySetOperation=Filtriraj taksonomijo po
label.solarFilters=Selected filters:
string.lemma=lemma
string.word=word
label.letter.stringLengthH=Enter length of letter output.
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=Enter the length of character strings.
label.letter.calculateForH=Character strings will be counted in the selected units.
label.letter.displayTaxonomyH=The output will also contain the distribution of character strings across the corpus taxonomy.
label.letter.msdH=Character strings will be counted only in words with the provided tag.
label.letter.taxonomyH=Character strings will be counted only in selected text types.
label.letter.minimalOccurrencesH=Character strings with fewer occurrences will not be included in the output.
label.letter.minimalTaxonomyH=Character strings that occur in fewer taxonomy branches will not be included in the output.
label.letter.taxonomySetOperationH=Izpisuj iz besedil, ki ustrezajo vsaj eni od izbranih vej (unija) ali vsem izbranim vejam (presek)
# word part tab
label.alsoVisualize=Also filter
label.lengthSearch=Search for word parts through specified length
label.prefixLength=Prefix length
label.suffixLength=Suffix length
label.listSearch=Search for word parts through specified prefixes and suffixes
label.prefixList=Prefix list
label.suffixList=Suffix list
label.alsoVisualize=Also split by
label.lengthSearch=Search for word parts of a specified length
label.prefixLength=Length of initial part
label.suffixLength=Length of final part
label.listSearch=Search for word parts with a specified list
label.prefixList=List of initial parts
label.suffixList=List of final parts
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.suffixListH=Besedne dele, ki jih želite iskati, ločite z vejico (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.
label.wordPart.minimalOccurrencesH=Enote z iskanim besednim delom, ki se pojavijo redkeje, ne bodo vključene v izpis.
label.wordPart.minimalTaxonomyH=Enote z iskanim besednim delom, ki so prisotne v manj vejah, ne bodo vključene v izpis.
label.wordPart.calculateForH=Word parts will be counted in the selected units.
label.wordPart.alsoVisualizeH=The output will also include the selected data.
label.wordPart.displayTaxonomyH=The output will also contain the distribution of word parts across the corpus taxonomy.
label.wordPart.prefixLengthH=Specify the length (in number of characters) of the initial word part.
label.wordPart.suffixLengthH=Specify the length (in number of characters) of the final word part.
label.wordPart.prefixListH=Separate the word parts with a semicolon (e.g. out; over)
label.wordPart.suffixListH=Separate the word parts with a semicolon (e.g. ation; ness).
label.wordPart.msdH=Word parts will only be counted in words with the specified tag.
label.wordPart.taxonomyH=Word parts will only be counted in the selected text types.
label.wordPart.minimalOccurrencesH=Units with the specified word part that occur fewer times will not be included in the output.
label.wordPart.minimalTaxonomyH=Units with the specified word part that are present in fewer taxonomy branches will not be included in the output.
# word tab
label.writeMsdAtTheEnd=Razbij oblikoskladenjsko oznako
label.writeMsdAtTheEnd=Split the morphosyntactic tag
label.word.calculateForH=Določite, kaj naj program izpisuje kot glavno enoto.
label.word.alsoVisualizeH=V izpis bodo vključeni tudi izbrani podatki.
label.word.displayTaxonomyH=Izpisana bo tudi razporeditev enot po taksonomiji korpusa.
label.word.writeMsdAtTheEndH=Izpisani bodo tudi posamezni deli oblikoskladenjskih oznak.
label.word.msdH=Preštete bodo samo besede z določeno oznako.
label.word.taxonomyH=Besede bodo preštete samo v izbranih vrstah besedil.
label.word.minimalOccurrencesH=Besede, ki se pojavijo redkeje, ne bodo vključene v izpis.
label.word.minimalTaxonomyH=Besede, ki so prisotne v manj vejah, ne bodo vključene v izpis.
label.word.calculateForH=Specify what the program should treat as the main unit for the output.
label.word.alsoVisualizeH=The output will also contain the selected data.
label.word.displayTaxonomyH=The output will also contain the distribution of units across the corpus taxonomy.
label.word.writeMsdAtTheEndH=The output will also include individual parts of morphosyntactic tags.
label.word.msdH=Only words with the specified tag will be counted.
label.word.taxonomyH=Only words in the selected text types will be counted.
label.word.minimalOccurrencesH=Words with fewer occurrences will not be included in the output.
label.word.minimalTaxonomyH=Words that occur in fewer taxonomy branches will not be included in the output.
# word sets tab
label.wordSet.calculateForH=Določite, iz katerih enot bodo izpisani 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.
label.wordSet.ngramValueH=Program bo izpisal nize z izbranim številom pojavnic.
label.wordSet.notePunctuationsH=V besedne nize bodo vključena tudi ločila.
label.wordSet.collocabilityH=Izračunana bo tudi stopnja povezovalnosti med besedami v nizu glede na izbrane mere.
label.wordSet.msdH=Prešteti bodo samo besedni nizi z določeno oznako.
label.wordSet.taxonomyH=Besedni nizi bodo izpisani samo iz izbranih taksonomskih vej.
label.wordSet.minimalOccurrencesH=Besedni nizi, ki se pojavijo redkeje, ne bodo vključeni v izpis.
label.wordSet.minimalTaxonomyH=Besedni nizi, ki so prisotni v manj vejah, ne bodo vključeni v izpis.
label.wordSet.calculateForH=Specify the units from which word sets will be extracted.
label.wordSet.alsoVisualizeH=The output will also include the selected data.
label.wordSet.displayTaxonomyH=The output will also contain the distribution of word sets across the corpus taxonomy.
label.wordSet.skipValueH=Enter the maximum number of words that can appear between two words in a word set.
label.wordSet.ngramValueH=The program will extract word sets with the specified number of tokens.
label.wordSet.notePunctuationsH=Word sets will include punctuation.
label.wordSet.collocabilityH=The program will also calculate collocability measures between words within the word set.
label.wordSet.msdH=The program will only count word sets with the specified tag.
label.wordSet.taxonomyH=Word sets will only be extracted from the selected taxonomy branches.
label.wordSet.minimalOccurrencesH=Word sets with fewer occurrences will not be included in the output.
label.wordSet.minimalTaxonomyH=Word sets that occur in fewer taxonomy branches will not be included in the output.
label.slowSpeedWarning=* USAGE OF PREVIOUS FILTER MAY DECREASE ANALYZING SPEED
label.ngramValue=N-gram level
label.notePunctuations=Note punctuations
label.slowSpeedWarning=WARNING! USING THE ABOVE FILTER MAY DECREASE PROCESSING SPEED!
label.ngramValue=N-gram length
label.notePunctuations=Include punctuation
label.collocability=Collocability
# taxonomy set operations
@ -135,20 +135,20 @@ filter.solarSola=school
filter.solarVrstaBesedila=type
# messages
message.WARNING_CORPUS_NOT_FOUND=In selected directory there are no suitable corpus files.
message.WARNING_RESULTS_DIR_NOT_VALID=You don't have correct permissions to access chosen directory.
message.WARNING_DIFFERING_NGRAM_LEVEL_AND_FILTER_TOKENS=Selected ngram level and number of entered words do not match.
message.WARNING_DIFFERING_NGRAM_LEVEL_AND_FILTER_TOKENS_INFO=Choose other number or modify filter.
message.WARNING_WORD_OR_LEMMA=Choose, if you want to calculate statistics for words or lemmas.
message.WARNING_ONLY_NUMBERS_ALLOWED=Please enter valid number.
message.WARNING_NUMBER_TOO_BIG=Entered number is bigger than the number of taxonomies.
message.WARNING_MISMATCHED_NGRAM_AND_TOKENS_VALUES=Number for n-gram (%d) and number of msds included (%d) must match.
message.WARNING_MISSING_STRING_LENGTH=String length must be higher than 0. Length is set up at default value (1).
message.WARNING_NO_TAXONOMY_FOUND=We were unable to read taxonomy from corpus files. Please select other location or different corpus.
message.WARNING_NO_SOLAR_FILTERS_FOUND=We weren't able to read filters from corpus files. Please select other location or different corpus.
message.ERROR_WHILE_EXECUTING=Error in program execution.
message.ERROR_WHILE_SAVING_RESULTS_TO_CSV=Error while saving results.
message.ERROR_NOT_ENOUGH_MEMORY=You do not have sufficient RAM for analyzing such amount of data. You can try changing filters.
message.WARNING_CORPUS_NOT_FOUND=No suitable corpus files have been found in the selected directory.
message.WARNING_RESULTS_DIR_NOT_VALID=You do not have permission to access the selected directory.
message.WARNING_DIFFERING_NGRAM_LEVEL_AND_FILTER_TOKENS=The specified n-gram length and number of words do not match.
message.WARNING_DIFFERING_NGRAM_LEVEL_AND_FILTER_TOKENS_INFO=Choose another number or modify the filter.
message.WARNING_WORD_OR_LEMMA=Specify if you want to calculate statistics for words or lemmas.
message.WARNING_ONLY_NUMBERS_ALLOWED=Please enter a valid number.
message.WARNING_NUMBER_TOO_BIG=The entered number is larger than the number of taxonomy branches.
message.WARNING_MISMATCHED_NGRAM_AND_TOKENS_VALUES=The number for n-grams (%d) and number of tags included (%d) must match.
message.WARNING_MISSING_STRING_LENGTH=String length must be higher than 0. Length is set to default value (1).
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.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.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.
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.
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_CORPUS=Iskanje in analiza korpusnih datotek...
#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.
