publication . Conference object . 2017

A Graph Based Semi-Supervised Approach for Analysis of Derivational Nouns in Sanskrit

Amrith Krishna; Pavankumar Satuluri; Harshavardhan Ponnada; Muneeb Ahmed; Gulab Arora; Kaustubh Hiware; Pawan Goyal;
Open Access
  • Published: 26 May 2017
Abstract
The work is accepted at TextGraphs - 17 colocated with ACL 2017 (http://acl2017.org/) Derivational nouns are widely used in Sanskrit corpora and is a prevalent means of productivity in the language. Currently, there exists no analyser that identifies the derivational nouns. We propose a semi supervised approach for identification of derivational nouns in Sanskrit. We not only identify the derivational words, but also link them to their corresponding source words. The novelty of our work is primarily in its design of the network structure for the task. The edge weights are featurised based on the phonetic, morphological, syntactic and the semantic similarity shar...
Subjects
free text keywords: Sanskrit, Sanskrit, Semantic similarity, Sanskrit, language.human_language, language, Analyser, Existential quantification, Noun, Syntax, Artificial intelligence, business.industry, business, Graph based, Novelty, Natural language processing, computer.software_genre, computer, Computer science
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Open Access
https://dx.doi.org/10.5281/zen...
Conference object . 2017
Provider: Datacite
Open Access
ZENODO
Conference object . 2017
Provider: ZENODO
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http://dx.doi.org/10.18653/v1/...
Conference object . 2017
Provider: Crossref
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