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LingURed: Language-Aware Editing Functions Based on NLP Resources


Mahlow, C; Piotrowski, M (2009). LingURed: Language-Aware Editing Functions Based on NLP Resources. In: Ganzha, M. Proceedings of the International Multiconference on Computer Science and Information Technology, 2009 : IMCSIT '09. Mragowo, Poland, 12 - 14 Oct. 2009. Piscataway, NJ: IEEE, 243-250.

Abstract

In this paper we compare the state of the art of language awareness in source code editors and word processors. Language awareness refers to functions operating on the elements and structures of a formal or natural language. Language-aware functions allow users to work with meaningful units, increasing efficiency and reducing errors. While all modern source code editors provide programmers with language-aware functions, similar functions for natural-language editing are almost nonexistent. Writers have to manipulate characters, which makes editing and revising challenging and results in typical errors. We describe the LingURed project, in which we implement language-aware editing functions for German with the goal of supporting experienced writers. Our approach is based on the combination of standard editor functionality and shallow localized natural language processing. Prototypical functions demonstrate the feasibility of the approach. Based on our preliminary experience we discuss requirements for NLP components suitable for use in interactive editing environments.

In this paper we compare the state of the art of language awareness in source code editors and word processors. Language awareness refers to functions operating on the elements and structures of a formal or natural language. Language-aware functions allow users to work with meaningful units, increasing efficiency and reducing errors. While all modern source code editors provide programmers with language-aware functions, similar functions for natural-language editing are almost nonexistent. Writers have to manipulate characters, which makes editing and revising challenging and results in typical errors. We describe the LingURed project, in which we implement language-aware editing functions for German with the goal of supporting experienced writers. Our approach is based on the combination of standard editor functionality and shallow localized natural language processing. Prototypical functions demonstrate the feasibility of the approach. Based on our preliminary experience we discuss requirements for NLP components suitable for use in interactive editing environments.

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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Date:14 October 2009
Deposited On:21 Oct 2009 08:47
Last Modified:05 Apr 2016 13:19
Publisher:IEEE
Series Name:Proceedings of the International Multiconference on Computer Science and Information Technology
Number:4
ISSN:1896-7094
ISBN:978-83-60810-22-4
Additional Information:© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Free access at:Official URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1109/IMCSIT.2009.5352721
Official URL:http://www.proceedings2009.imcsit.org/pliks/101.pdf
Related URLs:http://www.imcsit.org/pg/255/205 (Organisation)
Permanent URL: https://doi.org/10.5167/uzh-20064

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