Neural Machine Translation of Logographic Languages Using Sub-character Level Information

7 Sep 2018 Longtu Zhang Mamoru Komachi

Recent neural machine translation (NMT) systems have been greatly improved by encoder-decoder models with attention mechanisms and sub-word units. However, important differences between languages with logographic and alphabetic writing systems have long been overlooked... (read more)

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