Chinese term extraction based on delimiters

Yuhang Yang, Qin Lu, Tiejun Zhao

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

3 Citations (Scopus)

Abstract

Existing techniques extract term candidates by looking for internal and contextual information associated with domain specific terms. The algorithms always face the dilemma that fewer features are not enough to distinguish terms from non-terms whereas more features lead to more conflicts among selected features. This paper presents a novel approach for term extraction based on delimiters which are much more stable and domain independent. The proposed approach is not as sensitive to term frequency as that of previous works. This approach has no strict limit or hard rules and thus they can deal with all kinds of terms. It also requires no prior domain knowledge and no additional training to adapt to new domains. Consequently, the proposed approach can be applied to different domains easily and it is especially useful for resource-limited domains. Evaluations conducted on two different domains for Chinese term extraction show significant improvements over existing techniques which verifies its efficiency and domain independent nature. Experiments on new term extraction indicate that the proposed approach can also serve as an effective tool for domain lexicon expansion.
Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008
PublisherEuropean Language Resources Association (ELRA)
Pages247-254
Number of pages8
ISBN (Electronic)2951740840, 9782951740846
Publication statusPublished - 1 Jan 2008
Event6th International Conference on Language Resources and Evaluation, LREC 2008 - Palais des Congres Mansour Eddahbi, Marrakech, Morocco
Duration: 28 May 200830 May 2008

Conference

Conference6th International Conference on Language Resources and Evaluation, LREC 2008
CountryMorocco
CityMarrakech
Period28/05/0830/05/08

ASJC Scopus subject areas

  • Library and Information Sciences
  • Linguistics and Language
  • Language and Linguistics
  • Education

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