The Indian languages have some difficulties which come from sharing a lot of similarity in terms of script, phonology, language syntax, etc., and this library provides a general solution. It provides the feature for NLP tasks such as tokenisation and vector embedding for input text with an easy API interface. The languages supported are Hindi (hi), Punjabi (pa), Sanskrit (sa), Gujarati (gu), Kannada (kn), Malayalam (ml), Nepali (ne), Odia (or), Marathi (mr), Bengali (bn), Tamil (ta), Urdu (ur), English (en). INLTK provides support for various NLP applications in Indic languages. Still, when it comes to India, that’s challenging as languages in India aren’t that simple.Īs Indian languages pose many challenges for NLP like ambiguity, complexity, language grammar, translation problems, and obtaining the correct data for the NLP algorithms, it creates a lot of opportunities for NLP projects in India.īelow we look at some of the top NLP resources for Indian Languages: Top NLP libraries for Indian Languages iNLTK (Natural Language Toolkit for Indic Languages) According to a survey, the consumers pointed out the benefits of the chatbots, among which 55% of people thought getting answers to simple questions was one of the significant benefits. Natural language processing has the potential to broaden the online access for Indian citizens due to significant advancements in high computing GPU machines, high-speed internet availability and increased use of smartphones.
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