Work

POS Tagging in Low-Resource Maithili Language: Specific Challenges and Nuances

Year: 2026

Type: conference-paper

Abstract: Part-of-Speech (POS) tagging is a key step in Natural Language Processing (NLP), laying the groundwork for more advanced syntactic and semantic tasks.Despite Maithili's status as an Indo-Aryan language with a rich literary tradition and official recognition in India, computational resources for it are still very limited.In this paper, the creation of an annotated corpus of 25,000 sentences drawn from the fields of health, tourism, and administration is described with the hierarchical tagset currently used for Maithili.This paper also indicates that standard tagsets, typically adapted from English or Hindi, fail to capture the linguistic nuances of Maithili.This underscores the need for a dedicated tagging framework that considers characteristics like vocative particles, verbal nuances, honorific complexities.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/27ugx7nj4vvs

Authors: Shivani Priya, Shruti Jha, Urmila Jha, Girish Nath Jha, Deepali Tiwari, Jyoti Raj

Institution: Jawaharlal Nehru University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7166551719

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