# An HMM Based Named Entity Recognition System for Indian Languages: The JU System at ICON 2013

arXiv: https://arxiv.org/abs/1405.7397 · HTML: https://mlsanity.com/paper/1405.7397/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 May 2014.

## Built on by (most cited first, 1 of 1)

- [A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and Sinhala](https://mlsanity.com/paper/2412.02056/) (2024)

## Abstract (arXiv)

This paper reports about our work in the ICON 2013 NLP TOOLS CONTEST on Named Entity Recognition. We submitted runs for Bengali, English, Hindi, Marathi, Punjabi, Tamil and Telugu. A statistical HMM (Hidden Markov Models) based model has been used to implement our system. The system has been trained and tested on the NLP TOOLS CONTEST: ICON 2013 datasets. Our system obtains F-measures of 0.8599, 0.7704, 0.7520, 0.4289, 0.5455, 0.4466, and 0.4003 for Bengali, English, Hindi, Marathi, Punjabi, Tamil and Telugu respectively.