Resources
Synthetic Data Generation for Neural Machine Translation
07/10/2022
Synthetic parallel data generation by back-translation as a solution for the problem of translating low-resource languages and texts from low-resource domains.
Author
Junior Machine Learning Engineer at TAUS with a background in linguistics, anthropology and text mining. Passionate about implementing state-of-the-art NLP solutions and doing the data work, while also following engineering best practices.
Related Articles
11/03/2024
Purchase TAUS's exclusive data collection, featuring close to 7.4 billion words, covering 483 language pairs, now available at discounts exceeding 95% of the original value.
09/11/2023
Explore the crucial role of language data in training and fine-tuning LLMs and GenAI, ensuring high-quality, context-aware translations, fostering the symbiosis of human and machine in the localization sector.
19/12/2022
Domain adaptation approaches can be categorized into three categories according to the level of supervision used during the training process.