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024 7 $a10.1515/9783110720082
035   $a(CKB)5400000000002796
035   $a(DE-B1597)567655
035   $a(DE-B1597)9783110720082
035   $aEBL7015158
035   $a(AU-PeEL)EBL7015158
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69863
035   $a(MiAaPQ)EBC7015158
035   $a(EXLCZ)995400000000002796
100   $a20210225h20142021  fg              
101 0 $aeng
135   $aur||#||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSequence Comparison in Historical Linguistics /$fMattis List
210   $cDe Gruyter$d2021
210  1$aDüsseldorf :$cdüsseldorf university press,$d[2014]
210  4$d©2021
215   $a1 online resource (308 p.)
225 0 $aDissertations in Language and Cognition
300   $aDescription based upon print version of record.
311   $a3-943460-72-X 
327   $tFrontmatter --$tAcknowledgements --$tContents --$tList of Figures --$tList of Tables --$t1 Introduction --$t2 Historical Linguistics --$t3 Sequence Comparison --$t4 Sequence Comparison in Historical Linguistics --$t5 Conclusion --$tBibliography --$tSources --$tDictionaries and Databases --$tSupplementary Material --$tList of Abbreviations --$tIndices --$tAppendix A. Language-Specific Resources --$tAppendix B. Sequence Modelling --$tAppendix C. Phonetic Alignment --$tAppendix D. Cognate Detection
330   $aThe comparison of sound sequences (words, morphemes) constitutes the core of many techniques and methods in historical linguistics. With the help of these techniques, corresponding sounds can be determined, historically related words can be identified, and the history of languages can be uncovered. So far, the application of traditional techniques for sequence comparison is very tedious and time-consuming, since scholars have to apply them manually, without computational support. In this study, algorithms from bioinformatics are used to develop computational methods for sequence comparison in historical linguistics. The new methods automatize several steps of the traditional comparative method and can thus help to ease the painstaking work of language comparison. Dissertations in Language and Cognition This series explores issues of mental representation, linguistic structure and representation, and their interplay. The research presented in this series is grounded in the idea explored in the Collaborative Research Center 'The structure of representations in language, cognition and science' (SFB 991) that there is a universal format for the representation of linguistic and cognitive concepts.
410  0$aDissertations in Language and Cognition 
606   $aLANGUAGE ARTS & DISCIPLINES / General$2bisacsh
610   $aAlignment Analyses.
610   $aAutomatic Cognate Detection.
610   $aAutomatic Cognates Detection.
610   $aBasic Algorithm.
610   $aCollaborative Research Center.
610   $aContinuous Entities.
610   $aDefinition of Sequences.
610   $aDifferences between Sequences.
610   $aDiscrete Entities.
610   $aGerhard Schurz.
610   $aHana Filip.
610   $aHeinrich-Heine-Universität.
610   $aHistorical Linguistics.
610   $aLaura Kallmeyer.
610   $aLexStat.
610   $aLexical Change.
610   $aModelling Sequence Differences.
610   $aMultilingual Cognate Detection.
610   $aMultiple Alignment Analyses.
610   $aPairwise Alignment Analyses.
610   $aPeter Indefrey.
610   $aPhonetic Alignment.
610   $aProgressive Alignment.
610   $aRelations between Languages.
610   $aRelations between Words.
610   $aResemblances in Form.
610   $aResemblances in Meaning.
610   $aRobert D. Van Valin.
610   $aSCA.
610   $aSFB 991.
610   $aSebastian Löbner.
610   $aSemantic Change.
610   $aSequence Comparison.
610   $aSequence Modelling.
610   $aSound Change.
610   $aSound-Class Based Phonetic Alignment.
610   $aStructural Extensions.
610   $aSubstantial Extensions.
610   $aThe structure of representations in language, cognition and science.
615  7$aLANGUAGE ARTS & DISCIPLINES / General.
700   $aList$b Mattis$4aut$4http://id.loc.gov/vocabulary/relators/aut$01217022
801  0$bDE-B1597
801  1$bDE-B1597
906   $aBOOK
912   $a996411326003316
996   $aSequence Comparison in Historical Linguistics$92814177
997   $aUNISA