Issue #115 – Revisiting Low-Resource Neural Machine Translation: A Case Study
28 Jan21 Issue #115 – Revisiting Low-Resource Neural Machine Translation: A Case Study Author: Akshai Ramesh, Machine Translation Scientist @ Iconic Introduction Although deep neural models produce state-of-the-art results in many translation tasks, they are found to underperform phrase-based statistical machine translation in resource poor conditions. The majority of research on low-resource neural machine translation (NMT) focuses on the exploitation of monolingual or parallel data involving other language pairs. There is notably less attention into the research of low-resource NMT […]
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