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Word Completion with Latent Semantic Analysis

Miller, Tristan and Wolf, Elisabeth (2006):
Word Completion with Latent Semantic Analysis.
In: Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), IEEE Press, pp. 1252-1255, ISBN 0-7695-2521-0,
DOI: 10.1109/ICPR.2006.1191,
[Online-Edition: https://dx.doi.org/10.1109/ICPR.2006.1191],
[Conference or Workshop Item]

Abstract

Current word completion tools rely mostly on statistical or syntactic knowledge. Can using semantic knowledge improve the completion task? We propose a language-independent word completion algorithm which uses latent semantic analysis (LSA) to model the semantic context of the word being typed. We find that a system using this algorithm alone achieves keystroke savings of 56% and a hit rate of 42%. This represents improvements of 6.9% and 17%, respectively, over existing approaches.

Item Type: Conference or Workshop Item
Erschienen: 2006
Creators: Miller, Tristan and Wolf, Elisabeth
Title: Word Completion with Latent Semantic Analysis
Language: English
Abstract:

Current word completion tools rely mostly on statistical or syntactic knowledge. Can using semantic knowledge improve the completion task? We propose a language-independent word completion algorithm which uses latent semantic analysis (LSA) to model the semantic context of the word being typed. We find that a system using this algorithm alone achieves keystroke savings of 56% and a hit rate of 42%. This represents improvements of 6.9% and 17%, respectively, over existing approaches.

Title of Book: Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006)
Publisher: IEEE Press
ISBN: 0-7695-2521-0
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Date Deposited: 31 Dec 2016 14:29
DOI: 10.1109/ICPR.2006.1191
Official URL: https://dx.doi.org/10.1109/ICPR.2006.1191
Identification Number: TUD-CS-2006-0391
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