Comparative Analysis of Deep Learning Models for Part of Speech Tagging in the Malay Language

Comparative Analysis of Deep Learning Models for Part of Speech Tagging in the Malay Language

Despite the widespread use of Malay, under-resourced languages like Malay face challenges in Natural Language Processing (NLP), particularly in Part-of-Speech (POS) tagging. The scarcity of annotated corpora poses a primary obstacle to POS tagging in Malay. This study aims to enhance the effectivene...

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Bibliographic Details
Main Authors: Bakare Mustaphaa Adebayo, Kalaiarasi Sonai Muthu Anbananthen, Saravanan Muthaiyah, Saravanan Nathan Lurudusamy
Format: Article
Language:English
Published: Ital Publication 2024-06-01
Series:HighTech and Innovation Journal
Subjects:
part of speech tagging
deep learning
malay text
malay pos tagger.
Online Access:https://hightechjournal.org/index.php/HIJ/article/view/534

Internet

https://hightechjournal.org/index.php/HIJ/article/view/534

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