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  Computer-assisted approaches to historical language comparison

List, J.-M. (2021). Computer-assisted approaches to historical language comparison (Habilitation Thesis, Friedrich-Schiller-Universität Jena, Philosophische Fakultät, Jena, 2021). doi:10.22032/dbt.49007.

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OA . - Habilitation thesis, Friedrich Schiller University Jena, 2021
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 Creators:
List, Johann-Mattis1, Author              
Kümmel, Martin Joachim, Advisor
Gast, Volker, Advisor
Jäger, Gerhard, Advisor
Affiliations:
1CALC, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2385703              

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Free keywords: historical linguistics, computational linguistics, computational historical linguistics, comparative method, language evolution
 Abstract: The proposal of new quantitative methods supposed to handle problems in historical linguistics has created a gap between what one could call “classical” approaches to historical language comparison and the “new and innovative” automatic approaches. Classical linguists are often skeptical of the new approaches, partly because the results differ from those achieved by classical methods (Anthony and Ringe 2015, Holm 2007), but also because the majority of the new approaches work in a black box fashion and do not allow inspecting the concrete findings in detail. Computational linguists, on the other hand, complain about classical historical linguists’ lack of consistency when applying the classical methods.

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Language(s): eng - English
 Dates: 2021-06-18
 Publication Status: Published online
 Pages: 259
 Publishing info: Jena : Friedrich-Schiller-Universität Jena, Philosophische Fakultät
 Table of Contents: 1 Introduction
2 Of Trees and Webs: Phylogenies and Networks in Historical Linguistics
2.1 Phylogenetic Networks
2.1.1 Networks of Lexical Borrowing and Lateral Gene Transfer in Language and Genome Evolution
2.1.2 Using Phylogenetic Networks to Model Chinese Dialect History
2.2 Ancestral State Reconstruction
2.2.1 Beyond cognacy: historical relations between words and their implication for phylogenetic reconstruction
2.2.2 Using ancestral state reconstruction methods for onomasiological reconstruction in multilingual word lists
3 Data Formats and Annotation Frameworks
3.1 Cross-Linguistic Data Formats
3.1.1 Cross-Linguistic Data Formats, advancing data sharing and re-use in comparative linguistics
3.1.2 A cross-linguistic database of phonetic transcription systems
3.2 Annotation in Historical Linguistics
3.2.1 A Web-Based Interactive Tool for Creating, Inspecting, Editing, and Publishing Etymological Datasets
3.2.2 Challenges of annotation and analysis in computer-assisted language comparison: A case study on Burmish languages
4 Advances in Automatic Sequence Comparison
4.1 Advanced Cognate Detection
4.1.1 Using Sequence Similarity Networks to Identify Partial Cognates in Multilingual Wordlists
4.1.2 The Potential of Automatic Word Comparison for Historical Linguistics
4.2 Phonetic Alignments and Sound Correspondences
4.2.1 Sequence Comparison in Computational Historical Linguistics
4.2.2 Automatic Inference of Sound Correspondence Patterns Across Multiple Languages
5 Conclusion and Outlook 253
 Rev. Type: -
 Identifiers: DOI: 10.22032/dbt.49007
Other: shh2975
 Degree: Habilitation

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