Data Augmentation Approach for Language Identification in Imbalanced Bilingual Code-Mixed Social Media Datasets-Reference-Cited by-同舟云学术

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Data Augmentation Approach for Language Identification in Imbalanced Bilingual Code-Mixed Social Media Datasets

Published:2023-09-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
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Author:

Md Suhaimin Mohd Suhairi¹,Ahmad Hijazi Mohd Hanafi¹,Moung Ervin Gubin¹,Mohamad Hamza Mohd Azwan²

Affiliation:

1. Universiti Malaysia Sabah,Data Technology and Applications Research Group, Faculty of Computing and Informatics,Sabah,Malaysia

2. Knowledge Engineering & Computational Linguistic (KECL) Research Group Universiti Malaysia Pahang,Pahang,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10291172/10291205/10292108.pdf?arnumber=10292108

Reference16 articles.

1. Malaya, Natural-Language-Toolkit library for bahasa Malaysia, powered by Deep Learning Tensorflow;zolkepli;Retrieved from GitHub Repository,2018

2. Unsupervised cross-lingual representation learning at scale;conneau;ArXiv Preprint,2019

3. Corpus creation and language identification for code-mixed Indonesian-Javanese-English Tweets

4. Language Detection in Sinhala-English Code-mixed Data

5. Bert: Pretraining of deep bidirectional transformers for language understanding;devlin;ArXiv Preprint,2018

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