An Enhanced Neural Word Embedding Model for Transfer Learning

An Enhanced Neural Word Embedding Model for Transfer Learning

Due to the expansion of data generation, more and more natural language processing (NLP) tasks are needing to be solved. For this, word representation plays a vital role. Computation-based word embedding in various high languages is very useful. However, until now, low-resource languages such as Ban...

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Bibliographic Details
Main Authors: Md. Kowsher, Md. Shohanur Islam Sobuj, Md. Fahim Shahriar, Nusrat Jahan Prottasha, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Takeshi Koshiba
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
Bangla NLP
BanglaLM
text classification
toolkit
web crawler
word embedding
Online Access:https://www.mdpi.com/2076-3417/12/6/2848

Internet

https://www.mdpi.com/2076-3417/12/6/2848

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