# Taxonomic survey of Hindi Language NLP systems

arXiv: https://arxiv.org/abs/2102.00214 · HTML: https://mlsanity.com/paper/2102.00214/

## 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 (most cited first, 5 of 5)

- [Deep Learning for Hindi Text Classification: A Comparison](https://mlsanity.com/paper/2001.10340/) (2020)
- [Shallow Parsing Pipeline for Hindi-English Code-Mixed Social Media Text](https://mlsanity.com/paper/1604.03136/) (2016)
- [Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration](https://mlsanity.com/paper/1307.3310/) (2013)
- [Hindi Question Generation Using Dependency Structures](https://mlsanity.com/paper/1906.08570/) (2019)
- [Novel Language Resources for Hindi: An Aesthetics Text Corpus and a Comprehensive Stop Lemma List](https://mlsanity.com/paper/2002.00171/) (2020)

## Built on by (most cited first, 3 of 3)

- [H-AES: Towards Automated Essay Scoring for Hindi](https://mlsanity.com/paper/2302.14635/) (2023)
- [A Systematic Survey of Natural Language Processing for the Greek Language](https://mlsanity.com/paper/2407.09861/) (2024)
- [Bridging the Data Gap: Creating a Hindi Text Summarization Dataset from the English XSUM](https://mlsanity.com/paper/2601.01543/) (2026)

## 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.