A comprehensive survey on Indian regional language processing

被引：13
作者：
Harish, B. S. [1 ]
Rangan, R. Kasturi [1 ]
机构：
[1] JSS Sci & Technol Univ, Dept Informat Sci & Engn, Mysuru, Karnataka, India
来源：
SN APPLIED SCIENCES | 2020年 / 2卷 / 07期
关键词：
Language processing; Machine translation; Named entity recognition; POS tagging; NAMED ENTITY RECOGNITION; SYSTEM; MODEL;
D O I：
10.1007/s42452-020-2983-x
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In recent information explosion, contents in internet are multilingual and majority will be in the form of natural languages. Processing of these natural languages for various language processing tasks is challenging. The Indian regional languages are considered to be low resourced when compared to other languages. In this survey, the various approaches and techniques contributed by the researchers for Indian regional language processing are reviewed. The tasks like machine translation, Named Entity Recognition, Sentiment Analysis and Parts-Of-Speech tagging are reviewed with respect to Rule, Statistical and Neural based approaches. The challenges which motivate to solve language processing problems are presented. The sources of dataset for the Indian regional languages are described. The future scope and essential requirements to enhance the processing of Indian regional languages for various language processing tasks are discussed. omega
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页数：16
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