# Part of Speech Tagging of Marathi Text Using Trigram Method

arXiv: https://arxiv.org/abs/1307.4299 · HTML: https://mlsanity.com/paper/1307.4299/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Jul 2013.

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

- [On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi](https://mlsanity.com/paper/2312.01306/) (2023)

## Abstract (arXiv)

In this paper we present a Marathi part of speech tagger. It is a morphologically rich language. It is spoken by the native people of Maharashtra. The general approach used for development of tagger is statistical using trigram Method. The main concept of trigram is to explore the most likely POS for a token based on given information of previous two tags by calculating probabilities to determine which is the best sequence of a tag. In this paper we show the development of the tagger. Moreover we have also shown the evaluation done.