Description

Book Synopsis

The 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.



Table of Contents
Frontmatter -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- 1 Introduction -- 2 Historical Linguistics -- 3 Sequence Comparison -- 4 Sequence Comparison in Historical Linguistics -- 5 Conclusion -- Bibliography -- Sources -- Dictionaries and Databases -- Supplementary Material -- List of Abbreviations -- Indices -- Appendix A. Language-Specific Resources -- Appendix B. Sequence Modelling -- Appendix C. Phonetic Alignment -- Appendix D. Cognate Detection

Sequence Comparison in Historical Linguistics

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    A Paperback / softback by Mattis List


      View other formats and editions of Sequence Comparison in Historical Linguistics by Mattis List

      Publisher: De Gruyter
      Publication Date: 21/07/2014
      ISBN13: 9783943460728, 978-3943460728
      ISBN10: 394346072X

      Description

      Book Synopsis

      The 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.



      Table of Contents
      Frontmatter -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- 1 Introduction -- 2 Historical Linguistics -- 3 Sequence Comparison -- 4 Sequence Comparison in Historical Linguistics -- 5 Conclusion -- Bibliography -- Sources -- Dictionaries and Databases -- Supplementary Material -- List of Abbreviations -- Indices -- Appendix A. Language-Specific Resources -- Appendix B. Sequence Modelling -- Appendix C. Phonetic Alignment -- Appendix D. Cognate Detection

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