MT-Oriented and computer-based subject restoration for chinese empty-subject sentences

  • Authors:

  • Guo-Nian Wang;Yi Qin;Min Jiang;Qiu-Rong Zhao

  • Affiliations:

  • College of Chinese Language and Literature, Wuhan University, Wuhan, China, School of Foreign Languages, China University of Geosciences, Wuhan, China;School of Foreign Languages, China University of Geosciences, Wuhan, China;School of Foreign Languages, China University of Geosciences, Wuhan, China;School of Foreign Languages, China University of Geosciences, Wuhan, China

  • Venue:
  • CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
  • Year:
  • 2012

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Abstract

The Chinese language is rich in sentences with covert subject. The complicated formation mechanisms of empty-subject sentences (ESS) impose great barriers to Natural Language Processing (NLP) as far as the subject tagging and processing is concerned. This paper examines three ways in which Chinese empty-subject sentences are formed. A computer program blueprint based on discourse analysis is subsequently drawn so as to automatically restore, tag, and process ESS empty subjects, a step significant to the accuracy of Machine Translation (MT).