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Research in Computing Science
Article . 2014 . Peer-reviewed
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Rule Based Case Transfer in Tamil-Malayalam Machine Translation

Authors: Sobha Lalitha Devi; S. Lakshmi;

Rule Based Case Transfer in Tamil-Malayalam Machine Translation

Abstract

The paper focuses on the rule based case transfer, which is a part of the transfer grammar module developed for bidirectional Tamil to Malayalam Machine Translation system. The present study involves two typologically close and genetically related languages, namely Tamil and Malayalam. We considered the basic construction of sentences which is highly dependent on the case systems. The rules were written by taking into consideration the Postpositions and cases in the languages. A parallel corpora was chosen and a deep analysis of the case transfer patterns were done and rules were written to sort out the case changes that happens when translating from one language to another. We have also considered copula transfer in our approach. Web data was used for evaluation and the results were encouraging.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
bronze