Intelligent Approaches for Natural Language Processing for Indic Languages

被引：1
|
作者：
Kumar, Rashi [1 ]
Sahula, Vineet [2 ]
机构：
[1] Samrat Ashok Technol Inst, Dept AI & Data Sci, Vidisha, India
[2] Malaviya Natl Inst Technol Jaipur, Dept ECE, Jaipur, Rajasthan, India
来源：
2021 IEEE INTERNATIONAL SYMPOSIUM ON SMART ELECTRONIC SYSTEMS (ISES 2021) | 2021年
关键词：
Natural Language Processing; Language Models; Indic NIP Libraries;
D O I：
10.1109/iSES52644.2021.00084
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Natural Language Processing (NLP) is a subfield of semantics, software engineering, and artificial intelligence dealing with the coordination between computers and human language, specifically how to program computers to process and investigate a lot of natural language information. The objective is to program a computer to understand the written texts, including the context of the language inside them. India is a diverse nation and communicates in various dialects. India faces incredible difficulties for research in the field of NLP. In this work we present the various works done in the field of NLP for Indian Languages and also present the various challenges that are faced by the research community working in this field in India. We also discuss our proposed methodology for machine translation from Sanskrit to Hindi.
引用
收藏
页码：331 / 334
页数：4
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