A Universal Phrase Tagset for Multilingual Treebanks

Open Access
Authors
  • A.L.-F. Han
  • D.F. Wong
  • L.S. Chao
  • Y. Lu
  • L. He
  • L. Tian
Publication date 2014
Host editors
  • M. Sun
  • Y. Liu
  • J. Zhao
Book title Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
Book subtitle 13th China National Conference, CCL 2014, and Second International Symposium, NLP-NABD 2014, Wuhan, China, October 18-19, 2014 : proceedings
ISBN
  • 9783319122762
ISBN (electronic)
  • 9783319122779
Series Lecture Notes in Computer Science
Pages (from-to) 247-258
Publisher Cham: Springer
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
Many syntactic treebanks and parser toolkits are developed in the past twenty years, including dependency structure parsers and phrase structure parsers. For the phrase structure parsers, they usually utilize different phrase tagsets for different languages, which results in an inconvenience when conducting the multilingual research. This paper designs a refined universal phrase tagset that contains 9 commonly used phrase categories. Furthermore, the mapping covers 25 constituent treebanks and 21 languages. The experiments show that the universal phrase tagset can generally reduce the costs in the parsing models and even improve the parsing accuracy.
Document type Conference contribution
Language English
Published at
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