
Improving Code-switching Language Modeling with Artificially Generated
Texts using Cycle-consistent Adversarial Networks
Papers citing "Improving Code-switching Language Modeling with Artificially Generated Texts using Cycle-consistent Adversarial Networks"
8 / 8 papers shown
Title |
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![]() Data Augmentation Techniques for Machine Translation of Code-Switched
Texts: A Comparative StudyConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
![]() The Decades Progress on Code-Switching Research in NLP: A Systematic
Survey on Trends and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
![]() Personalized Adversarial Data Augmentation for Dysarthric and Elderly
Speech RecognitionIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022 |








