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Around 8 Years of experience in Natural Language Processing (NLP) - Expert in development of Domain specific Rule based and Transfer based Machine translation systems. - have worked on MT components such as 1) Sentence/Word Segmentation 2) Morphological Engines 3) Part of speech Taggers (POS) 4) Parser 5) Entity Recognition 6) Word Sense Disambiguation 7) Automatic Compound Processor (Analysis/Generation)
Sanskrit is very rich in compound formation unlike modern Indian Languages. The compound formation being productive it forms an open-set and as such it is also not possible to list all the compounds in a dictionary. The compound formation involves a mandatory sandhi. But mere sandhi splitting does not help a reader in identifying the meaning of a c...
Sanskrit is very rich in compound formation. Typically a compound does not code the relation between its components explicitly. To understand the meaning of a compound, it is necessary to identify its components, discover the relations between them and finally generate a paraphrase of the compound. In this paper, we discuss the automatic segmentati...