POS-tagging a bilingual parallel corpusmethods and challenges

  1. Irene Doval 1
  1. 1 University of Santiago de Compostela / Spain
Revista:
Research in Corpus Linguistics (RiCL)

ISSN: 2243-4712

Ano de publicación: 2017

Número: 5

Páxinas: 35-46

Tipo: Artigo

DOI: 10.32714/RICL.05.03 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: Research in Corpus Linguistics (RiCL)

Obxectivos de Desenvolvemento Sustentable

Resumo

This paper reviews the author’s experiences of tokenizing and POS tagging a bilingual parallel corpus, the PaGeS Corpus, consisting mostly of German and Spanish fictional texts. This is part of an ongoing process of annotating the corpus for part-of-speech information. This study discusses the specific problems encountered so far. On the one hand, tagging performance degrades significantly when applied to fictional data and, on the other, pre-existing annotation schemes are all language specific. To further improve accuracy during post-editing, the author has developed a common tagset and identified major error patterns.

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