Multiple Methods for Identifying Professional/Technical Vocabularies

doi:10.3969/j.issn.1673-8578.2014.04.003

China Terminology ›› 2014, Vol. 16 ›› Issue (4): 14-19.doi: 10.3969/j.issn.1673-8578.2014.04.003

• Research on Terminology • Previous Articles Next Articles

Multiple Methods for Identifying Professional/Technical Vocabularies

CUI Weixia, WANG Junsong

Received:2014-03-31 Online:2014-08-25 Published:2020-07-01

Abstract

Abstract: In this study, five different methods have been used to select the professional/technical words in aeronautical text. The five methods are using rating scale, using clues provided by writers, using technical dictionaries, vocabulary classification and keyword analysis. The author compared the five methods in terms of accuracy, efficiency and practicality, and the evaluation results showed that keyword analysis is based on corpus comparison and considered to be an ideal method but it still has problems, such as failing to separate technical words from their collocates. A hybrid method was proposed for identifying professional/technical vocabulary.

Key words: technical vocabulary, English for special purpose, keyword analysis

CLC Number: (术语学)

CUI Weixia, WANG Junsong. Multiple Methods for Identifying Professional/Technical Vocabularies[J]. China Terminology, 2014, 16(4): 14-19.

References

[1] Coxhead A. A new academic word list [J]. TESOL Quarterly, 2000, 34(2):213-238.
[2] Chung T M, Nation P. Technical vocabulary in specialized texts [J]. Reading in a Foreign Language, 2003, 15(2):103-116.
[3] Nation I S P Learning Vocabulary in Another Language [M].Cambridge: Cambridge University Press,2001.
[4] Oh J,Lee J,Lee K,et al. Japanese term extraction using dictionary hierarchy and a machine translation system [J]. Terminology, 2000(6): 287-311.
[5] Bramki D, Williams R. Lexical familiarization in economics text, and its pedagogic implications in reading comprehension [J]. Reading in a Foreign Language,1984(2): 169-181.
[6] Flowerdew J. Definitions in science lectures [J]. Applied Linguistics, 1992(13):202-221.
[7] Williams R. Lexical familiarization in content area textbooks [C]// Chapman, L. The Reader and the Text. London: Heinemann Educational Books Ltd, 1981:49-59.
[8] Kwary D A. A hybrid method for determining technical vocabulary [J]. System, 2011(39):175-185.
[9] Scott M. PC analysis of keywords and key keywords [J]. System 25,1997(2):233-245.
[10] Anthony L. AntConc: A Learner and Classroom Friendly, Multi-Platform Corpus Analysis Toolkit[C]//In proceedings of IWLeL 2004: An Interactive Workshop on Language e-Learning.Tokyo:2004.
[11] Chung T M,Nation P. Identifying technical vocabulary[J].System,2004(32):251-263.
[12] West M.General Service List of English Words[M].London: Longman,Green & Co.,1953.
[13] 李绍山.语言研究中的统计学[M]. 西安: 西安交通大学出版社,2001.
[14] 梁茂成,李文中,许家金.语料库应用教程[M].北京:外语教学与研究出版社,2010.
[15] Nesi H,Gardner S, Thompson P,et al. British Academic Written English Corpus (BAWE)[DB/OL],2010. http://wwwm.coventry.ac.uk/researchnet/BAWE/Pages/BAWE.aspx.

Multiple Methods for Identifying Professional/Technical Vocabularies

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 1

Recommended Articles

Metrics

Comments