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 on Computational Linguistics (NODALIDA 2015), Sweden: Linköping University Electronic Press, 2015, 263-268 p.Conference paper (Refereed)
We have used a novel Bayesian model of joint word alignment andpart of speech (PoS) annotation transfer to enrich theSwedish Sign Language Corpus with PoS tags.The annotations were then hand-corrected in order to both improve annotationquality for the corpus, and allow the empirical evaluation presented herein.
Place, publisher, year, edition, pages
Sweden: Linköping University Electronic Press, 2015. 263-268 p.
, NEALT Proceedings Series, ISSN 1650-3638 ; 23
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-117099OAI: oai:DiVA.org:su-117099DiVA: diva2:810265
20th Nordic Conference on Computational Linguistics (NODALIDA 2015)