Measuring context-meaning for open class words in Hindi language
Word sense disambiguation (WSD), the task of identifying the intended sense of words has
been a growing research area in the field of natural language processing. In this paper, the …
been a growing research area in the field of natural language processing. In this paper, the …
Unsupervised Hindi word sense disambiguation based on network agglomeration
A Jain, DK Lobiyal - 2015 2nd International Conference on …, 2015 - ieeexplore.ieee.org
Word sense disambiguation (WSD) is an essential task in computational linguistics for
language understanding applications such as information retrieval, question answering …
language understanding applications such as information retrieval, question answering …
[PDF][PDF] Gujarati word sense disambiguation using genetic algorithm
ZB Vaishnav - International Journal on Recent and Innovation …, 2017 - academia.edu
Genetic algorithms (GAs) have widely been investigated to solve hard optimization
problems, including the word sense disambiguation (WSD). This problem asks to determine …
problems, including the word sense disambiguation (WSD). This problem asks to determine …
Deep Learning-based Word Sense Disambiguation for Hindi Language Using Hindi WordNet Dataset
P Yadav, S Vishwakarma… - Federated learning for …, 2024 - benthamdirect.com
This book chapter outlines an innovative approach to word sense disambiguation (WSD) for
Hindi languages using deep learning. In natural language processing (NLP), WSD which …
Hindi languages using deep learning. In natural language processing (NLP), WSD which …
[PDF][PDF] Study of Hindi Word Sense Disambiguation Based on Hindi WorldNet
Incomputational linguistics, word sense disambiguation (WSD) is anopen problemofnatural
language processing, which governs the process of identifying which sense of a word (ie …
language processing, which governs the process of identifying which sense of a word (ie …
Hierarchical clustering technique for word sense disambiguation using Hindi WordNet
N Patel, B Patel, R Parikh… - 2015 5th Nirma University …, 2015 - ieeexplore.ieee.org
Word Sense Disambiguation (WSD) is crucial and its significance is prominent in every
application of computational linguistics. WSD is a challenging problem of Natural Language …
application of computational linguistics. WSD is a challenging problem of Natural Language …
Improving the quality of Machine Translation using rule based tense synthesizer for Hindi
Translation of English documents into Hindi language is becoming an integral part for
facilitating communication. The major population of India where 366 million people uses …
facilitating communication. The major population of India where 366 million people uses …
Semantic generator for disambiguation of Hindi sentences
Hindi is the fourth largest spoken language in the world. Nowadays in India, working on
Internet using Hindi language is becoming popular. But Hindi language has several …
Internet using Hindi language is becoming popular. But Hindi language has several …
A Hybrid Framework for Implementing Modified K-Means Clustering Algorithm for Hindi Word Sense Disambiguation
In this paper, we have proposed a new method for the implementation of an unsupervised K-
Means clustering algorithm for Word Sense Disambiguation in Hindi language. We created …
Means clustering algorithm for Word Sense Disambiguation in Hindi language. We created …
Importance of Hindi Language and Its Significance in Nation-Building
H Pallathadka, LK Pallathadka, TK Devi - … Journal for Research in Arts and …, 2022 - ijrah.com
The meaning of the Hindi language is the second most passed on in language on earth,
later Mandarin Chinese. It is evaluated that a massive piece of a billion gathering is …
later Mandarin Chinese. It is evaluated that a massive piece of a billion gathering is …