BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Precision and recall of machine translation
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
A Study towards Design of an English to Sanskrit Machine Translation System
Sanskrit Computational Linguistics
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The development of machine translation (MT) system for ancient language such as Sanskrit is a much more fascinating and challenging task. Due to lack of linguistic community, there are no wide works accomplished in Sanskrit translation while it is national language by virtue of its importance in India's cultural heritage. This paper describes a rule-based approach of machine translation which translates an English sentence (source language sentence) into equivalent Sanskrit sentence (target language sentence). Due to morphological richness of Sanskrit language, this system makes limited use of syntax and uses only morphological markings to identify subject, object, verb, preposition, adjective and adverb, as well as conjunctive sentences. It uses limited parsing for part of speech (POS) tagging, identification of clause, its subject, object, verb, etc and gender-number-person (GNP) of noun and object. This system gives translation result in GUI form and handles English sentences of different classes. The performance evaluations of our EST system with different methods of MT evaluations are shown using table and column chart.