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Inflection generation as discriminative string transduction

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Affiliation
  1. National Research Council of Canada. Information and Communication Technologies
FormatText, Article
ConferenceConference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, May 31 - June 5 2015, Denver, Colorado, USA
Abstract
We approach the task of morphological inflection generation as discriminative string transduction. Our supervised system learns to generate word-forms from lemmas accompanied by morphological tags, and refines them by referring to the other forms within a paradigm. Results of experiments on six diverse languages with varying amounts of training data demonstrate that our approach improves the state of the art in terms of predicting inflected word-forms.
Publication date
PublisherCurran Associates
In
  • Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2015) 1: 922–931.
LanguageEnglish
Peer reviewedYes
NPARC number23000175
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Record identifierdf26c297-7688-4e9e-951e-d7ed8fc5491d
Record created2016-06-16
Record modified2020-04-22
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