e-Learning Materials Development Based on Abstract Analysis Using Web Tools

  • Tomofumi Nakano
  • Yukie Koyama
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3681)


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.


Word List Engineering Journal Past Participle Bilingual Dictionary Corpus Study 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Tomofumi Nakano
    • 1
  • Yukie Koyama
    • 1
  1. 1.Nagoya Institute of TechnologyNagoyaJapan

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