Addressing the data gap: building a parallel corpus for Kashmiri language
This paper marks a significant step forward in language technology for low-resource
languages by developing the first parallel corpus for the Kashmiri language, which …
languages by developing the first parallel corpus for the Kashmiri language, which …
Comparison of Pre-trained vs Custom-trained Word Embedding Models for Word Sense Disambiguation
The prime objective of word sense disambiguation (WSD) is to develop such machines that
can automatically recognize the actual meaning (sense) of ambiguous words in a sentence …
can automatically recognize the actual meaning (sense) of ambiguous words in a sentence …
Machine Learning Approach for Kashmiri Word Sense Disambiguation
Studying the senses of words in a given data is crucial for analysing and understanding
natural languages. The meaning of an ambiguous word varies based on the context of …
natural languages. The meaning of an ambiguous word varies based on the context of …
Convolutional neural network for developing robust speech technology
To develop the severity of audio technology more relatable, the affective computing
community of Artificial Intelligence (AI) applied Convolutional Neural Network (CNN) to …
community of Artificial Intelligence (AI) applied Convolutional Neural Network (CNN) to …
Word sense disambiguation corpus for Kashmiri
Ambiguity is considered an indispensable attribute of all natural languages. The process of
associating the precise interpretation to an ambiguous word taking into consideration the …
associating the precise interpretation to an ambiguous word taking into consideration the …