The Impact of Translating Resource-Rich Datasets to Low-Resource Languages Through Multi-Lingual Text Processing

The Impact of Translating Resource-Rich Datasets to Low-Resource Languages Through Multi-Lingual Text Processing

Urdu is still considered a low-resource language despite being ranked as world&#x2019;s <inline-formula> <tex-math notation="LaTeX">$10^{th}$ </tex-math></inline-formula> most spoken language with nearly 230 million speakers. The scarcity of benchmark datasets i...

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Bibliographic Details
Main Authors: Abdul Ghafoor, Ali Shariq Imran, Sher Muhammad Daudpota, Zenun Kastrati, Abdullah, Rakhi Batra, Mudasir Ahmad Wani
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Multilingual text processing
sentiment classification
polarity assessment
low resource language
language translation
BiLSTM
Online Access:https://ieeexplore.ieee.org/document/9529190/

Internet

https://ieeexplore.ieee.org/document/9529190/

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