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Survey:Natural Language Parsing For Indian Languages

2015/01/28 by Monika T. Makwana, Makwana, Monika T., Deepak. c. vegda +2
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling #cs.CL

paper · pdf · doi:10.48550/arxiv.1501.07005

9 pages

arxiv created 2015/01/28 · openalex publication_date 2015/01/28 · arxiv updated 2015/01/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Syntactic parsing is a necessary task which is required for NLP applications including machine translation. It is a challenging task to develop a qualitative parser for morphological rich and agglutinative languages. Syntactic analysis is used to understand the grammatical structure of a natural language sentence. It outputs all the grammatical information of each word and its constituent. Also issues related to it help us to understand the language in a more detailed way. This literature survey is groundwork to understand the different parser development for Indian languages and various approaches that are used to develop such tools and techniques. This paper provides a survey of research papers from well known journals and conferences.

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