Morphological Analysis without Expert Annotation

Garrett Nicolai, Grzegorz Kondrak


Abstract
The task of morphological analysis is to produce a complete list of lemma+tag analyses for a given word-form. We propose a discriminative string transduction approach which exploits plain inflection tables and raw text corpora, thus obviating the need for expert annotation. Experiments on four languages demonstrate that our system has much higher coverage than a hand-engineered FST analyzer, and is more accurate than a state-of-the-art morphological tagger.
Anthology ID:
E17-2034
Volume:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
Month:
April
Year:
2017
Address:
Valencia, Spain
Editors:
Mirella Lapata, Phil Blunsom, Alexander Koller
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
211–216
Language:
URL:
https://aclanthology.org/E17-2034
DOI:
Bibkey:
Cite (ACL):
Garrett Nicolai and Grzegorz Kondrak. 2017. Morphological Analysis without Expert Annotation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 211–216, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
Morphological Analysis without Expert Annotation (Nicolai & Kondrak, EACL 2017)
Copy Citation:
PDF:
https://aclanthology.org/E17-2034.pdf
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