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Automatic Extraction of Typological Linguistic Features from Descriptive Grammars
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
2017 (English)In: Text, Speech, and Dialogue: 20th International Conference, TSD 2017, Prague, Czech Republic, August 27-31, 2017, Proceedings / [ed] Ekštein, Kamil; Matoušek, Václav, Berlin: Springer , 2017, Vol. 10415, 111-119 p.Chapter in book (Other academic)
Abstract [en]

The present paper describes experiments on automatically extracting typological linguistic features of natural languages from traditional written descriptive grammars. The feature-extraction task has high potential value in typological, genealogical, historical, and other related areas of linguistics that make use of databases of structural features of languages. Until now, extraction of such features from grammars has been done manually, which is highly time and labor consuming and becomes prohibitive when extended to the thousands of languages for which linguistic descriptions are available. The system we describe here starts from semantically parsed text over which a set of rules are applied in order to extract feature values. We evaluate the system’s performance on the manually curated Grambank database as the gold standard and report the first measures of precision and recall for this problem

Place, publisher, year, edition, pages
Berlin: Springer , 2017. Vol. 10415, 111-119 p.
Series
Lecture Notes in Computer Science
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:uu:diva-336734DOI: 10.1007/978-3-319-64206-2_13ISBN: 978-3-319-64206-2 (electronic)OAI: oai:DiVA.org:uu-336734DiVA: diva2:1166796
Available from: 2017-12-15 Created: 2017-12-15 Last updated: 2018-01-13Bibliographically approved

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Saxena, AnjuHammarström, Harald

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  • apa
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