TY - JOUR
T1 - A Literature Survey on Word Sense Disambiguation for the Hindi Language
AU - Gujjar, Vinto
AU - Mago, Neeru
AU - Kumari, Raj
AU - Patel, Shrikant
AU - Chintalapudi, Nalini
AU - Battineni, Gopi
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/9
Y1 - 2023/9
N2 - 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.
AB - 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.
KW - Hindi language
KW - knowledge-based
KW - supervised
KW - unsupervised
KW - word sense disambiguation
UR - https://www.scopus.com/pages/publications/85172231345
U2 - 10.3390/info14090495
DO - 10.3390/info14090495
M3 - Review article
AN - SCOPUS:85172231345
SN - 2078-2489
VL - 14
JO - Information (Switzerland)
JF - Information (Switzerland)
IS - 9
M1 - 495
ER -