A Literature Survey on Word Sense Disambiguation for the Hindi Language

Gujjar, Vinto; Mago, Neeru; Kumari, Raj; Patel, Shrikant; Chintalapudi, Nalini; Battineni, Gopi

doi:10.3390/info14090495

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A Literature Survey on Word Sense Disambiguation for the Hindi Language

by

Vinto Gujjar

¹,

Neeru Mago

²,

Raj Kumari

³,

Shrikant Patel

⁴,

Nalini Chintalapudi

^5,*

and

Gopi Battineni

^5,6

¹

Department of Computer Science & Applications, Panjab University, Chandigarh 160014, India

²

Department of Computer Science & Applications, Panjab University Swami Sarvanand Giri Regional Centre, Hoshiarpur 160014, India

³

University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India

⁴

School of IT & ITES, Delhi Skill and Entrepreneurship University, Government of NCT of Delhi, Delhi 110003, India

⁵

Clinical Research Centre, School of Medicinal and Health Products Sciences, University of Camerino, 62032 Camerino, Italy

⁶

Department of Electronics and Communication Engineering, Velagapudi Ramakrishna Siddharth Engineering College, Vijayawada 520007, India

^*

Author to whom correspondence should be addressed.

Information 2023, 14(9), 495; https://doi.org/10.3390/info14090495

Submission received: 7 July 2023 / Revised: 30 August 2023 / Accepted: 2 September 2023 / Published: 7 September 2023

(This article belongs to the Special Issue Computational Linguistics and Natural Language Processing)

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Abstract

Word sense disambiguation (WSD) is a process used to determine the most appropriate meaning of a word in a given contextual framework, particularly when the word is ambiguous. While WSD has been extensively studied for English, it remains a challenging problem for resource-scarce languages such as Hindi. Therefore, it is crucial to address ambiguity in Hindi to effectively and efficiently utilize it on the web for various applications such as machine translation, information retrieval, etc. The rich linguistic structure of Hindi, characterized by complex morphological variations and syntactic nuances, presents unique challenges in accurately determining the intended sense of a word within a given context. This review paper presents an overview of different approaches employed to resolve the ambiguity of Hindi words, including supervised, unsupervised, and knowledge-based methods. Additionally, the paper discusses applications, identifies open problems, presents conclusions, and suggests future research directions.

Keywords: word sense disambiguation; knowledge-based; supervised; unsupervised; Hindi language

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MDPI and ACS Style

Gujjar, V.; Mago, N.; Kumari, R.; Patel, S.; Chintalapudi, N.; Battineni, G. A Literature Survey on Word Sense Disambiguation for the Hindi Language. Information 2023, 14, 495. https://doi.org/10.3390/info14090495

AMA Style

Gujjar V, Mago N, Kumari R, Patel S, Chintalapudi N, Battineni G. A Literature Survey on Word Sense Disambiguation for the Hindi Language. Information. 2023; 14(9):495. https://doi.org/10.3390/info14090495

Chicago/Turabian Style

Gujjar, Vinto, Neeru Mago, Raj Kumari, Shrikant Patel, Nalini Chintalapudi, and Gopi Battineni. 2023. "A Literature Survey on Word Sense Disambiguation for the Hindi Language" Information 14, no. 9: 495. https://doi.org/10.3390/info14090495

APA Style

Gujjar, V., Mago, N., Kumari, R., Patel, S., Chintalapudi, N., & Battineni, G. (2023). A Literature Survey on Word Sense Disambiguation for the Hindi Language. Information, 14(9), 495. https://doi.org/10.3390/info14090495

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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A Literature Survey on Word Sense Disambiguation for the Hindi Language

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