Article | Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland | Inferring morphological rules from small examples using 0/1 linear programming Linköping University Electronic Press Conference Proceedings
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Title:
Inferring morphological rules from small examples using 0/1 linear programming
Author:
Ann Lillieström: Chalmers University of Technology, Gothenburg, Sweden Koen Claessen: Chalmers University of Technology, Gothenburg, Sweden Nicholas Smallbone: Chalmers University of Technology, Gothenburg, Sweden
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Full text (pdf)
Year:
2019
Conference:
Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland
Issue:
167
Article no.:
018
Pages:
164--174
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2019-10-02
ISBN:
978-91-7929-995-8
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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We show how to express the problem of finding an optimal morpheme segmentation from a set of labelled words as a 0/1 linear programming problem, and how to build on this to analyse a language’s morphology. The approach works even when there is very little training data available.

Keywords: Morphology, segmentation, rules

Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Author:
Ann Lillieström, Koen Claessen, Nicholas Smallbone
Title:
Inferring morphological rules from small examples using 0/1 linear programming
References:
No references available

Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Author:
Ann Lillieström, Koen Claessen, Nicholas Smallbone
Title:
Inferring morphological rules from small examples using 0/1 linear programming
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Last updated: 2019-11-06