29 citations · 123 across the 37 of their papers we have counts for
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cs.CL2016
An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation
Raphael Shu, Hideki Nakayama
Recently, the attention mechanism plays a key role to achieve high performance for Neural Machine Translation models. However, as it computes a score function for the encoder state…
cs.CL2016★ 2 cited
Zero-resource Machine Translation by Multimodal Encoder-decoder Network with Multimedia Pivot
Hideki Nakayama, Noriki Nishida
We propose an approach to build a neural machine translation system with no supervised resources (i.e., no parallel corpora) using multimodal embedded representation over texts and…