e-Learning Materials Development Based on Abstract Analysis Using Web Tools
This study includes an original corpus of engineering journals and is part of the series of E-Learning & English for Specific Purposes (ESP) researches . Purposes (ESP) researches that includes an original corpus of engineering journals. In this paper the results of a corpus study will be presented, and a sample of the ESP e-learning materials being developed for graduate students in engineering will be shown. Abstracts were chosen for the corpus this time because students are likely to read many for their research, and eventually to have to produce their own. We prepare the 40,000-word corpus that consists of 263 abstracts from mechanical and electrical engineering journals. The corpus is analyzed using Wmatrix, which gives part-of-speech tags and semantic tags, and compares the results with those of the BNC written corpus sampler. Some special features found in the analysis are frequencies in semantic tags, part-of-speech tags, difference in the use of verbal forms and multi-words. As an application of the important features, we are developing web-based materials which include the original abstracts with target items hyper-linked to various pages containing exercises, concordances, grammar explanations, a bilingual dictionary, etc.
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- 1.Olsen, L.A., Huckin, T.N.: Technical Writing and Professional Communication. McGraw-Hill, New York (1991)Google Scholar
- 2.Dunning, T.: Accurate methods for the statistics of surprise and coincidence. Computational Linguistics 19(1), 61–74 (1994)Google Scholar
- 3.Garside, R., Smith, N.: A hybrid grammatical tagger: Claws4. In: Garside, R., Leech, G., McEnery, A. (eds.) Corpus Annotation: Linguistic Information from Computer Text Corpora, pp. 102–121. Longman (1997)Google Scholar
- 4.Hyland, K.: Disciplinary Discourses: Social Interactions in Academic Writing. Pearson Education Ltd., London (2000)Google Scholar
- 5.Koyama, Y.: English for science and technology using corpus based approach. Technical report, Nagoya Institute of Technology (2003)Google Scholar
- 6.Koyama, Y., Nagano, R.: Text analysis based on est corpus and its application to english teaching. Technical report, Nagaoka University of Technology (2001)Google Scholar
- 8.Piao, S.S.L., Rayson, P., Archer, D., Wilson, A., McEnery, T.: Extracting multiword expressions with a semantic tagger. In: Proceedings of the Workshop on Multiword Expressions: Analysis, Acquisition and Treatment (ACL 2003), pp. 49–56 (2003)Google Scholar
- 9.Rayson, P.: Wmatrix: a web-based corpus processing environment. Technical report, Lancaster University (2001)Google Scholar
- 10.Yasumasa Someya. e lemma.txt (ver.1) (1998) Google Scholar
- 11.Swales, J.M.: Genre Analysis. Cambridge University Press, Cambridge (1990)Google Scholar