IEEE Transactions on Professional Communication Sep 2003

Mover: A machine learning tool to assist in the reading and writing of technical papers

L. Anthony ; G.V. Lashkia

Abstract

When faced with the tasks of reading and writing a complex technical paper, many nonnative scientists and engineers who have a solid background in English grammar and vocabulary lack an adequate knowledge of commonly used structural patterns at the discourse level. In this paper, we propose a novel computer software tool that can assist these people in the understanding and construction of technical papers, by automatically identifying the structure of writing in different fields and disciplines. The system is tested using research article abstracts and is shown to be a fast, accurate, and useful aid in the reading and writing process.

Journal
IEEE Transactions on Professional Communication
Published
2003-09-01
DOI
10.1109/tpc.2003.816789
CompPile
Open Access
Closed
Topics
discourse analysis digital rhetoric artificial intelligence grammar and mechanics literacy studies
Export
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Citation Context

Cited by in this index (1)

  1. Mau et al. (2025)
    Integrating move analysis and sentence reconstruction in automated writing eval…
    Assessing Writing

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    IEEE Transactions on Professional Communication
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    IEEE Transactions on Professional Communication
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CrossRef global citation count: 34 View in citation network → Build reading path →

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