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

Anthony, Laurence and Lashkia, George V. (2003) Mover:a machine learning tool to assist in the reading and writing of technical papers. IEEE Transactions on Professional Communication, 46 (3). pp. 185-193.

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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.

Item Type: Article
Journal or Publication Title: IEEE Transactions on Professional Communication
Subjects:
Departments: Faculty of Arts & Social Sciences > Linguistics & English Language
Faculty of Arts & Social Sciences
ID Code: 71628
Deposited By: ep_importer_pure
Deposited On: 06 Nov 2014 11:29
Refereed?: Yes
Published?: Published
Last Modified: 21 Sep 2017 06:17
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/71628

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