OntoSenseNet: A Verb-Centric Ontological Resource for Indian Languages

August 02, 2018 ยท Declared Dead ยท ๐Ÿ› Conference on Intelligent Text Processing and Computational Linguistics

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Authors Jyoti Jha, Sreekavitha Parupalli, Navjyoti Singh arXiv ID 1808.00694 Category cs.CL: Computation & Language Citations 4 Venue Conference on Intelligent Text Processing and Computational Linguistics Last Checked 4 months ago
Abstract
Following approaches for understanding lexical meaning developed by Yaska, Patanjali and Bhartrihari from Indian linguistic traditions and extending approaches developed by Leibniz and Brentano in the modern times, a framework of formal ontology of language was developed. This framework proposes that meaning of words are in-formed by intrinsic and extrinsic ontological structures. The paper aims to capture such intrinsic and extrinsic meanings of words for two major Indian languages, namely, Hindi and Telugu. Parts-of-speech have been rendered into sense-types and sense-classes. Using them we have developed a gold- standard annotated lexical resource to support semantic understanding of a language. The resource has collection of Hindi and Telugu lexicons, which has been manually annotated by native speakers of the languages following our annotation guidelines. Further, the resource was utilised to derive adverbial sense-class distribution of verbs and karaka-verb sense- type distribution. Different corpora (news, novels) were compared using verb sense-types distribution. Word Embedding was used as an aid for the enrichment of the resource. This is a work in progress that aims at lexical coverage of language extensively.
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