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Creating a Fully Automated Machine Translation is a challenge. MT system developers have to take
care of all minute aspects of both the language pairs (i.e. the Source Language and the Target
Language). Issue of verb mapping between language pairs needs a careful study of verb pattern of those languages. A close look towards verb pattern indicates the importance of the conditional use of verb forms in a language. The conditional use of the verbs is a challenge for MT systems. As
Sanskrit-Hindi Machine Translation (SHMT) is an ongoing task and the Sanskrit Consortium,
funded by the DIT, Govt. of India, has already finished its first Phase, this study becomes more
relevant. The proposed SHMT–Sampark System is not functional yet. An Interface of SHMTAnusaaraka
is available on the website of Sanskrit Department, HCU, Hyderabad. In this study, some challenging aspects of verb mapping have been noticed as the dilemma in SHMT.

Added on June 8, 2016

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  More Details
  • Contributed by : Atul
  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Kumar Nripendra Pathak and Girish Nath Jha
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