Publikation:

DiaHClust : an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change

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2019

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http://nbn-resolving.de/urn:nbn:de:bsz:352-2-hopp7ihgb2tj4
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https://doi.org/10.18653/v1/W19-4716
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CC BY 4.0

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TAHMASEBI, Nina, ed. and others. Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change. Stroudsburg, PA: Association for Computational Linguistics (ACL), 2019, pp. 126-135. ISBN 978-1-950737-31-4. Available under: doi: 10.18653/v1/W19-4716

Zusammenfassung

Language change is often assessed against a set of pre-determined time periods in order to be able to trace its diachronic trajectory. This is problematic, since a pre-determined periodization might obscure significant developments and lead to false assumptions about the data. Moreover, these time periods can be based on factors which are either arbitrary or non-linguistic, e.g., dividing the corpus data into equidistant stages or taking into account language-external events. Addressing this problem, in this paper we present a data-driven approach to periodization: ‘DiaHClust’. DiaHClust is based on iterative hierarchical clustering and offers a multi-layered perspective on change from text-level to broader time periods. We demonstrate the usefulness of DiaHClust via a case study investigating syntactic change in Icelandic, modelling the syntactic system of the language in terms of vectors of syntactic change.

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400 Sprachwissenschaft, Linguistik

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The 1st International Workshop on Computational Approaches to Historical Language Change, 2. Aug. 2019, Florence, Italy
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ISO 690SCHÄTZLE, Christin, Hannah BOOTH, 2019. DiaHClust : an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change. The 1st International Workshop on Computational Approaches to Historical Language Change. Florence, Italy, 2. Aug. 2019. In: TAHMASEBI, Nina, ed. and others. Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change. Stroudsburg, PA: Association for Computational Linguistics (ACL), 2019, pp. 126-135. ISBN 978-1-950737-31-4. Available under: doi: 10.18653/v1/W19-4716
BibTex
@inproceedings{Schatzle2019DiaHC-50779,
  year={2019},
  doi={10.18653/v1/W19-4716},
  title={DiaHClust : an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change},
  isbn={978-1-950737-31-4},
  publisher={Association for Computational Linguistics (ACL)},
  address={Stroudsburg, PA},
  booktitle={Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change},
  pages={126--135},
  editor={Tahmasebi, Nina},
  author={Schätzle, Christin and Booth, Hannah}
}
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