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In this paper author presents a model for recognition and analysis of nominal
morphology (Sanskrit subanta-padas) (SPs) in Sanskrit text for Machine Translation
(MT). Propose of this paper to develop a model for Sanskrit SPs recognizer and analyzer
for MT. System recognizes nominal morphology with the help of avyaya and verb
database and analysis of SPs. Identification includes separating the SPs from, Verbal
Morphology (VM) by a strategy of isolating verbs and in-declinables. Analysis includes
splitting the SPs into its sub-constituents - base (prātipadika), case-number markers
(kāraka-vacana-vibhakti). Sanskrit is a heavily inflected language and depends on serial
inflections on nouns and verbs for communication of meaning. A fully inflected unit is
called pada which are nominal (subanta) or verbal (tianta). Therefore identifying and
analyzing these inflections are critical to any further processing of Sanskrit. After
analysis of SPs system add meaning of base with vibhakti (kāraka) meaning for MT
Sanskrit Hindi and other Indian languages.

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 : Subash, Dr. Girish Nath Jha
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