What Vocabulary to Teach in ESP: Automatic Extraction in Specialized Corpora
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This paper aims to investigate three different statistical approaches for extracting important words by comparing frequency, keyness, and PageRank to create a list of vocabulary for learners of Maritime English. After extracting a vocabulary list by using three methods, a Range program is used to classify the types of vocabulary based on general words, academic words, and unclassified words. We also compare the results of three approaches based on correlation coefficient test. Using an R program, the vocabulary list obtained by frequency as a traditional approach is compared with that of keyness as a reference approach and that of PageRank as a non-reference approach to see if there are any differences between the three approaches. In conclusion, there is little correlation coefficient between frequency, keyness, and PageRank methods for vocabulary extraction.
Abstract
This paper aims to investigate three different statistical approaches for extracting important words by comparing frequency, keyness, and PageRank to create a list of vocabulary for learners of Maritime English. After extracting a vocabulary list by using three methods, a Range program is used to classify the types of vocabulary based on general words, academic words, and unclassified words. We also compare the results of three approaches based on correlation coefficient test. Using an R program, the vocabulary list obtained by frequency as a traditional approach is compared with that of keyness as a reference approach and that of PageRank as a non-reference approach to see if there are any differences between the three approaches. In conclusion, there is little correlation coefficient between frequency, keyness, and PageRank methods for vocabulary extraction.
참고문헌 (17)
- Aston, Guy, "Autonomy and Independence in Language Learning", pp.204~214 (1997), Longman
- Brin, Sergey, "The Anatomy of a Large-Scale Hypertextual Web Search Engine", Computer Networks and ISDN Systems, 30, pp.107~117 (1998)
- Brezina, Vaclav, "Is There a Core General Vocabulary? Introducing the New General Service List", Applied Linguistics, 34(1), pp.1~123 (2013)
- Browne, Charles, "The New General Service List: Celebrating 60 Years of Vocabulary Learning", The Language Teacher, 7(34), pp.13~16 (2013)
- Coxhead, Averil, "A New Academic Word List", TESOL Quarterly, 34(2), pp.213~238 (2000)
- Dunning, Ted, "Accurate Methods for the Statistics of Surprise and Coincidence", Computational Linguistics, 19(1), pp.61~74 (1993)
- "Range: A Program for the Analysis of Vocabulary in Texts" (2002)[URL]
- 장세은, "Visualization of Collocational Networks:Maritime English Keywords", 어학연구, 49(3), pp.781~802 (2013), 언어교육원
- Nation, Paul, "Where Would General Service Vocabulary Stop and Special Purposes Vocabulary Begin?", System, 23(1), pp.35~41 (1995)
- Mparutsa, Love, "Teaching and Language Corpora", ReCALL, 9(1), pp.5~14 (1991)
- Oakes, Michael, "Statistics for Corpus Linguistics" (1998), Edinburgh University Press
- Scott, Mike, "Analysis of Key Words and Key Key Words", System, 25(2), pp.233~245 (1997)
- Scott, Mike, "WordSmith Tools Help Manual: Version 6", Lexical Analysis Software, ~ (2014)
- Stevens, Vance, "Concordance-Based Vocabulary Exercises: A Viable Alternative to Gap-Fillers", English Language Research Journal, 4, pp.47~63 (1991)
- Team, R. Core, "A Language and Environment for Statistical Computing", R Foundation for Statistical Computing, ~ (2012)
- West, Michael, "A General Service List of English Words" (1953), Longman
- Xue, Guoyi, "A University Word List", Language Learning and Communication, 3(2), pp.215~229 (1984)