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Academic Paper

Title: Sanskrit Subanta Recognizer and Analyzer for Machine Translation
Author: Subhash Chandra
Email: click here TO access email
Institution: Centre for Development of Advanced Computing
Linguistic Field: Computational Linguistics; Morphology; Syntax; Text/Corpus Linguistics
Subject Language: Sanskrit
Subject LANGUAGE Family: None
Abstract: In this paper the authors present a model for recognition and analysis of nominal morphology (Sanskrit subanta-padas) (SPs) in Sanskrit text for Machine Translation (MT). The purpose of this paper is to develop a model for Sanskrit SPs recognizer and analyzer for MT. The 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 (praatipadika), case-number markers (kaaraka-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 (tiºanta). Therefore, identifying and analyzing these inflections are critical to any further processing of Sanskrit. After analysis of SPs has been completed, the system adds the meaning of the base to the vibhakti (kaaraka) meaning for MT Sanskrit, Hindi, and other Indian languages.
Type: Individual Paper
Status: Completed
Venue: India
Publication Info: AICL Proceedings of Paper Abstracts
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