Enriching the Swedish Sign Language Corpus with Part of Speech Tags Using Joint Bayesian Word Alignment and Annotation Transfer
2015 (English)In: Proceedings of the 20th Nordic Conference of Computational Linguistics: NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania / [ed] Beáta Megyesi, Linköping University Electronic Press, 2015, 263-268 p.Conference paper (Refereed)
We have used a novel Bayesian model of joint word alignment and part of speech (PoS) annotation transfer to enrich the Swedish Sign Language Corpus with PoS tags. The annotations were then hand-corrected in order to both improve annotation quality for the corpus, and allow the empirical evaluation presented herein.
Place, publisher, year, edition, pages
Linköping University Electronic Press, 2015. 263-268 p.
Linköping Electronic Conference Proceedings, ISSN 1650-3740 ; 109
sign language, bayesian models, part of speech tagging, pos tagging, transfer learning
General Language Studies and Linguistics Language Technology (Computational Linguistics)
Research subject Sign Language
IdentifiersURN: urn:nbn:se:su:diva-117099ISBN: 978-91-7519-098-3OAI: oai:DiVA.org:su-117099DiVA: diva2:810265
20th Nordic Conference on Computational Linguistics, Vilnius, Lithuania, May 11-13, 2015