PERFORMANCE ANALYSIS OF TEXT ALIGNMENT TOOLS USING AUTOMATED TEST BED

The text alignment process is an important activity in the statistical machine translation (SMT) upon the training phase of SMT systems on huge amounts of parallel corpora. The authors are evaluating five of the popular text aligners and analyzing the methodologies used in each of them, then we are...

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Bibliographic Details
Published inInternational journal of artificial intelligence & applications Vol. 3; no. 5; p. 127
Main Authors Nabil, John, Fakhr, Mohamed Waleed
Format Journal Article
LanguageEnglish
Published 01.09.2012
Subjects
Alignment
Artificial intelligence
Automated
Expert systems
Freeware
Machine translation
Texts
Training
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Summary:The text alignment process is an important activity in the statistical machine translation (SMT) upon the training phase of SMT systems on huge amounts of parallel corpora. The authors are evaluating five of the popular text aligners and analyzing the methodologies used in each of them, then we are introducing new open source automated test bed for testing those text aligners and generating reports called pyTester, and finally discuss our observations about the test results generated from pyTester.
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ISSN:0976-2191
0975-900X