# general window.title=Corpus analyzer hyperlink.help=Help button.language=SL button.computeNgrams=Calculate button.cancel=Cancel # template tab.corpusTab=Corpus tab.filterTab=Filter tab.characterLevelTabNew=Characters tab.wordLevelTab=Word parts tab.oneWordAnalysisTab=Words tab.stringLevelTabNew2=Word sets # corpus tab button.setCorpusLocation=Set corpus location checkBox.readHeaderInfo=Read info from headers button.chooseResultsLocation=Choose result location # character analysis tab label.stringLength=Number of letters 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.solarFilters=Selected filters: string.lemma=lemma string.word=word # word level 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.writeMsdAtTheEnd=Write MSD at the end # calculate for calculateFor.WORD=word calculateFor.NORMALIZED_WORD=normalized word calculateFor.LEMMA=lemma calculateFor.MORPHOSYNTACTIC_SPECS=msd calculateFor.MORPHOSYNTACTIC_PROPERTY=oblikoskladenjska lastnost calculateFor.WORD_TYPE=word type calculateFor.DIST_WORDS=word calculateFor.DIST_LEMMAS=lemma # n-grams label.skipValue=Skip value label.slowSpeedWarning=* USAGE OF PREVIOUS FILTER MAY DECREASE ANALYZING SPEED label.ngramValue=N-gram level label.notePunctuations=Note punctuations label.collocability=Collocability # 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.MISSING_NGRAM_LEVEL=N-gram level message.MISSING_CALCULATE_FOR=Calculate for 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_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.ONGOING_NOTIFICATION_ANALYZING_FILE_X_OF_Y=Analyzing file %d of %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_RESULTS_CORPUS_TYPE_NOT_SET=Corpus type is not set. message.LABEL_SCANNING_CORPUS=Search and analysis of 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. windowTitles.error=Error windowTitles.warning=Warning windowTitles.confirmation=Confirmation # export header translations exportHeader.corpus=Corpus: exportHeader.date=Date: exportHeader.executionTime=Execution time: exportHeader.analysis=Analysis: exportHeader.analysis.letters=letters exportHeader.analysis.wordParts=word parts exportHeader.analysis.words=words exportHeader.analysis.wordSets=Word sets exportHeader.numberLetters=Number of letters: exportHeader.calculateFor=Calculate for: exportHeader.alsoFilter=Also filter: exportHeader.displayTaxonomies=Display taxonomies: exportHeader.ngramLevel=N-gram level: exportHeader.skipValue=Skip value: exportHeader.notePunctuations=Note punctuations: 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.additionalFilters=Additional filters: exportHeader.yes=yes exportHeader.no=no # 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.wordRest=The rest of the word exportTable.totalRelativeFrequency=Total relative frequency (over one million occurrences) exportTable.absoluteFrequency=Absolute frequency exportTable.percentage=Share exportTable.relativeFrequency=Relative frequency exportTable.msd=msd # parts exportTable.part.word=words: exportTable.part.normalizedWord=normalized words: exportTable.part.lemma=lemmas: exportTable.part.msd=msd: exportTable.part.msdProperty=msd property: exportTable.part.wordType=word type: exportTable.part.letterSet=letter set exportTable.part.word2=word exportTable.part.normalizedWord2=normalized word exportTable.part.lemma2=lemma exportTable.part.msd2=msd exportTable.part.msdProperty2=msd property exportTable.part.wordType2=word type exportTable.part.letterSet2=Share of total sum of all letter sets exportTable.part.letterSet3=Letter set exportTable.part.word3=Word exportTable.part.normalizedWord3=Normalized word exportTable.part.lemma3=Lemma exportTable.part.msd3=Msd exportTable.part.msdProperty3=Msd property exportTable.part.wordType3=Word type exportTable.part.set=set exportTable.part.share=Absolute share of exportTable.part.absoluteFrequency=Absolute frequency of exportTable.part.totalFound=Total sum of all exportTable.part.totalFoundLetters=Total sum of all found letters of exportTable.part.totalSumString=Total sum of exportTable.part.totalSumLetters=Total sum of all letters of # generated files names exportFileName.letters=letters exportFileName.wordParts=word-parts exportFileName.words=words exportFileName.wordSets=word-sets exportFileName.gram=-gram exportFileName.skip=-skip