Abstract
Natural Language Processing (NLP) deals with the spoken languages by using computer and Artificial Intelligence. As people from different regional areas using different digital platforms and expressing their views in their spoken language, it is now must to focus on working spoken languages in India to make our society smart and digital. NLP research grown tremendously in last decade which results in Siri, Google Assistant, Alexa, Cortona and many more automatic speech recognitions and understanding systems (ASR). Natural Language Processing can be understood by classifying it into Natural Language Generation and Natural Language Understanding. NLP is widely used in various domain such as Health Care, Chatbot, ASR building, HR, Sentiment analysis etc.
Highlights
Languages which are spoken by human being called as a Natural Languages
Facebook, twitter, Instagram, blogs etc. are generating a big data which is very much difficult to process with traditional approaches
A lot of research has been done on Natural Language Processing (NLP) but it is limited to some widely used languages only e.g. English
Summary
Languages which are spoken by human being called as a Natural Languages. There are many resources which are generating data in natural languages on daily basis. A lot of research has been done on Natural Language Processing (NLP) but it is limited to some widely used languages only e.g. English. If we want to make their life better using NLP, we need to work on regional languages like Marathi, Hindi, Punjabi and so on. In India there are 22 official languages are spoken and more than 1000 dialects are spoken [1] These regional and dialect languages belongs to different language families like Indo-Aryan, Dravidian, Austric, Tibeto-Burman and other [1]. To work with these family of languages, we need to understand the representation of it.
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