Knowledge-rich approach to automatic grammatical information acquisition: Enriching Chinese Sketch Engine with a lexical Grammar

Chu-ren Huang, Wei Yun Ma, Yi Ching Wu, Chih Ming Chiu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


This paper discusses the implementation of a knowledge-rich approach to automatic acquisition of grammatical information. Our study is based on Word Sketch Engine (Kilgarriff and Tudgell 2002). The original claims of WSE are two folded: That linguistic generalizations can be automatically extracted from a corpus with simple collocation information provided that the corpus is large enough; and that such a methodology is easily adaptable for a new language. Our work on Chinese Sketch Engine attests to the claim the WSE is adaptable for a new language. More critically, we show that the quality of grammatical information provided has a directly bearing on the result of grammatical information acquisition. We show that when provided with a knowledge rich lexical grammar, both the quantity and quality of the extracted knowledge improves substantially over the results with simple PS rules.
Original languageEnglish
Title of host publicationPACLIC 20 - Proceedings of the 20th Pacific Asia Conference on Language, Information and Computation
Number of pages9
Publication statusPublished - 1 Dec 2006
Externally publishedYes
Event20th Pacific Asia Conference on Language, Information and Computation, PACLIC 20 - Wuhan, China
Duration: 1 Nov 20063 Nov 2006


Conference20th Pacific Asia Conference on Language, Information and Computation, PACLIC 20

ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Science (miscellaneous)

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