Features of an Error Correction Memory to Enhance Technical Texts Authoring in LELIE

Authors

  • Patrick SAINT-DIZIER IRIT-CNRS

Keywords:

error correction memory, controlled natural languages, natural language processing, logic programming

Abstract

In this paper, we investigate the notion of error correction memory applied to technical texts. The main purpose is to introduce flexibility and context sensitivity in the detection and the correction of errors related to Constrained Natural Language (CNL) principles. This is realized by enhancing error detection paired with relatively generic correction patterns and contextual correction recommendations. Patterns are induced from previous corrections made by technical writers for a given type of text. The impact of such an error correction memory is also investigated from the point of view of the technical writer's cognitive activity. The notion of error correction memory is developed within the framework of the LELIE project an experiment is carried out on the case of fuzzy lexical items and negation, which are both major problems in technical writing. Language processing and knowledge representation aspects are developed together with evaluation directions.

URL: http://ijkcdt.net/xml/05535/05535.pdf

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Published

2015-12-31

How to Cite

SAINT-DIZIER, P. (2015). Features of an Error Correction Memory to Enhance Technical Texts Authoring in LELIE. International Journal of Knowledge Content Development & Technology, 5(2). Retrieved from https://ijkcdt.journals.publicknowledgeproject.org/index.php/ijkcdt/article/view/64

Issue

Vol. 5 No. 2 (2015)

Section

Articles

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Copyright (c) 2015 International Journal of Knowledge Content Development & Technology

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