How to Overcome the Need for Data for Low-Resource Languages
Neural machine translation (NMT) has revolutionized the language services industry, enabling providers to deliver large volumes of translated content quickly, affordably, and accurately. This presents a problem for low-resource languages (LRLs) that need more linguistic resources, such as extensive parallel corpora, annotated data, and pre-trained language models. … Continue readingHow to Overcome the Need for Data for Low-Resource Languages