Toward the Development of Large-Scale Word Embedding for Low-Resourced Language

Toward the Development of Large-Scale Word Embedding for Low-Resourced Language

Word embedding is possessed by Natural language processing as a key procedure for semantically and syntactically manipulating the unlabeled text corpus. While this process represents the extracted features of corpus on vector space that enables to perform the NLP tasks such as summary generation, te...

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Bibliographic Details
Main Authors: Shahzad Nazir, Muhammad Asif, Shahbaz Ahmad Sahi, Shahbaz Ahmad, Yazeed Yasin Ghadi, Muhammad Haris Aziz
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Word embedding
Urdu language
word vectors
word2vec
large-scale
Online Access:https://ieeexplore.ieee.org/document/9770772/

Internet

https://ieeexplore.ieee.org/document/9770772/

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