Papers with German-Russian
Zero-Resource Neural Machine Translation with Monolingual Pivot Data (D19-56)
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| Challenge: | Neural machine translation systems have relied on large amounts of parallel training data between the source and target language. |
| Approach: | They propose methods for generating pseudo-parallel corpora using pivot-language data . they use English as the pivot language to train the zero-shot system . |
| Outcome: | The proposed methods improve the zero-shot neural machine translation system for a high-resource language pair using English as the pivot language. |