Effective Ways of Extracting Terms for ESP Programs for Law
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Abstract
This corpus-based study introduces an effective means of identifying legal terms in digitized documents. In the present study the first 300 entries resulted from the web-based term-extraction tool TermoStat was re-examined by using Chung’s (2003) rating scale. When using the combination model, about 70 to 74 % of the candidate terms were found technical words. This is a much lower percentage than the 86% produced by the corpus comparison approach. However, the web-based term-extraction tool TermoStat provides four advantages: 1) users can save time and effort identifying terms, 2) users do not have to prepare any comparison corpora, 3) each item is automatically hyper-linked to all examples used in the technical corpus, and 4) technical collocations, as well as technical single words, are identified. Thus, if both mechanical and manual processes are used to extract legal terms, combining Chung’s (2003) rating scale and the web-based comparison tool TermoStat could be an effective way to extract legal terms. Finally, this study concludes by offering some suggestions for further research.
참고문헌 (28)
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