Economy is a transportation-device : Contrastivi representation of source domain knowledge in English and Chinese

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

7 Citations (Scopus)

Abstract

This paper offers a preliminary study of how knowledge may be represented differently in different languages. In particular, we account for the contrast between English and Chinese when identical target domain knowledge is represented with two different, yet related, source domains in each language. We incorporate corpora analysis in English and Chinese with SUMO to delimit the source domains identified using the Conceptual Mapping Model (Ahrens. 2002). In particular, this paper investigates economy metaphors with the source domains of AEROPLANE and MOVING VEHICLE. These two source domains are found in Chinese and English respectively. Hence, we ask the question whether these source domains should be conflated under a general source domain such as TransportationDevice or should they form independent source domains. Our study addresses this issue by using the SUMO ontology as well, as the Mapping Principles found in the corpora analysis. Our studies contribute to automatizing the source-target domain mappings in conceptual metaphors.
Original languageEnglish
Title of host publicationNLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings
PublisherIEEE
Pages790-796
Number of pages7
ISBN (Electronic)0780379020, 9780780379022
DOIs
Publication statusPublished - 1 Jan 2003
EventInternational Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2003 - Beijing Media Center, Beijing, China
Duration: 26 Oct 200329 Oct 2003

Conference

ConferenceInternational Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2003
CountryChina
CityBeijing
Period26/10/0329/10/03

Keywords

  • Text categorization
  • Variance
  • Weighting algorithm

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software

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