A comprehensive survey on Indian regional language processing
| Autor: | B. S. Harish, R. Kasturi Rangan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Scope (project management)
Machine translation business.industry Computer science General Chemical Engineering Regional language Sentiment analysis General Engineering General Physics and Astronomy computer.software_genre Data science Named-entity recognition General Earth and Planetary Sciences General Materials Science The Internet business computer Natural language General Environmental Science Information explosion |
| Zdroj: | SN Applied Sciences. 2 |
| ISSN: | 2523-3971 2523-3963 |
| DOI: | 10.1007/s42452-020-2983-x |
| Popis: | 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.ϖ |
| Databáze: | OpenAIRE |
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