Enriching the Swedish Sign Language Corpus with part of speech tags using joint Bayesian word alignment and annotation transfer
Año:
2015
Editorial:
Vilnius: Linköping University Electronic Press, 2015
Tipo de código:
Soporte:
Temas
Lingüística » Sistemas de transcripción de las Lenguas de Signos, Lingüística » Lingüística de otras Lenguas de Signos, Lingüística » Corpus signados
Detalles
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 handcorrected in order to both improve annotation quality for the corpus, and allow the empirical evaluation presented herein.
En: Beáta Megyesi (ed.), Proceedings of the 20th Nordic Conference on Computational Linguistics (NODALIDA 2015), NEALT Proceedings Series 23, 263–268.