CMU Multilingual NLP 2020 - Data Augmentation for Machine Translation

CMU Multilingual NLP 2020 - Data Augmentation for Machine Translation

Explore data augmentation techniques for machine translation in this 25-minute lecture from CMU's Multilingual Natural Language Processing course. Delve into methods utilizing monolingual data and high-resource languages, covering topics such as back translation, multilingual training approaches, and pivoting strategies. Learn about iterative back-translation, English-HRL augmentation, and dictionary-based techniques. Gain insights into word alignment and word-by-word data augmentation with reordering. Understand the challenges of low-resource machine translation and discover practical solutions to enhance translation quality in resource-constrained scenarios.