Inflection generation as discriminative string transduction

AuthorSearch for: ; Search for: ; Search for:
TypeArticle
Proceedings titleConference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2015)
ConferenceConference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, May 31 - June 5 2015, Denver, Colorado, USA
ISBN9781510804456
Volume1
Pages922931
AbstractWe 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
LanguageEnglish
AffiliationNational Research Council Canada; Information and Communication Technologies
Peer reviewedYes
NPARC number23000175
Export citationExport as RIS
Report a correctionReport a correction
Record identifierdf26c297-7688-4e9e-951e-d7ed8fc5491d
Record created2016-06-16
Record modified2016-06-16
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)