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View all- (1994)ReferencesConstraints, Language and Computation10.1016/B978-0-08-050296-0.50021-8(361-383)Online publication date: 1994
The Linguistics Research Center (LRC) of the University of Texas at Austin is currently developing METAL, a fully-automatic high quality Machine Translation (MT) system. After outlining the history and status of the project, this paper discusses the ...
In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Syntax Augmented Machine Translation system (SAMT) and UPC-TALP N-gram-based Statistical Machine Translation (SMT). SAMT is a hierarchical syntax-driven ...
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 ...
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