Performance Analysis of Text Alignment Tools Using Automated Test Bed

John Nabil
2012 International Journal of Artificial Intelligence & Applications  
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. We 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.
doi:10.5121/ijaia.2012.3511 fatcat:uc7olcebhzd67mn7qaknhqysgu