Taxonomic survey of Hindi Language NLP systems
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Abstract (arXiv)
Natural Language processing (NLP) represents the task of automatic handling of natural human language by machines.There is large spectrum of possible applications of NLP which help in automating tasks like translating text from one language to other, retrieving and summarizing data from very huge repositories, spam email filtering, identifying fake news in digital media, find sentiment and feedback of people, find political opinions and views of people on various government policies, provide effective medical assistance based on past history records of patient etc. Hindi is the official language of India with nearly 691 million users in India and 366 million in rest of world. At present, a number of government and private sector projects and researchers in India and abroad, are working towards developing NLP applications and resources for Indian languages. This survey gives a report of the resources and applications available for Hindi language NLP.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 5 of its 155 references that are in the map. First posted on arXiv 30 Jan 2021.
Builds on
5 of 155 references.
References · 5
- 2020Deep Learning for Hindi Text Classification: A Comparisoncited by 22
- 2016Shallow Parsing Pipeline for Hindi-English Code-Mixed Social Media Textcited by 7
- 2013Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliterationcited by 1
- 2019Hindi Question Generation Using Dependency Structurescited by 1
- 2020Novel Language Resources for Hindi: An Aesthetics Text Corpus and a Comprehensive Stop Lemma Listcited by 1
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Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 1.
3 papers.