Classifier-Based Text Simplification for Improved Machine Translation
Computation and Language
2015-07-14 v1
Abstract
Machine Translation is one of the research fields of Computational Linguistics. The objective of many MT Researchers is to develop an MT System that produce good quality and high accuracy output translations and which also covers maximum language pairs. As internet and Globalization is increasing day by day, we need a way that improves the quality of translation. For this reason, we have developed a Classifier based Text Simplification Model for English-Hindi Machine Translation Systems. We have used support vector machines and Na\"ive Bayes Classifier to develop this model. We have also evaluated the performance of these classifiers.
Cite
@article{arxiv.1507.03223,
title = {Classifier-Based Text Simplification for Improved Machine Translation},
author = {Shruti Tyagi and Deepti Chopra and Iti Mathur and Nisheeth Joshi},
journal= {arXiv preprint arXiv:1507.03223},
year = {2015}
}
Comments
In Proceedings of International Conference on Advances in Computer Engineering and Applications 2015