6 citations · 9 across the 4 of their papers we have counts for
4 papers
Improving Context-aware Neural Machine Translation with Target-side Context
Hayahide Yamagishi, Mamoru Komachi
In recent years, several studies on neural machine translation (NMT) have attempted to use document-level context by using a multi-encoder and two attention mechanisms to read the…
Multimodal Machine Translation with Embedding Prediction
Tosho Hirasawa, Hayahide Yamagishi, Yukio Matsumura +1
Multimodal machine translation is an attractive application of neural machine translation (NMT). It helps computers to deeply understand visual objects and their relations with nat…
Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models
Satoru Katsumata, Yukio Matsumura, Hayahide Yamagishi +1
Encoder-decoder models typically only employ words that are frequently used in the training corpus to reduce the computational costs and exclude noise. However, this vocabulary set…
Japanese Predicate Conjugation for Neural Machine Translation
Michiki Kurosawa, Yukio Matsumura, Hayahide Yamagishi +1
Neural machine translation (NMT) has a drawback in that can generate only high-frequency words owing to the computational costs of the softmax function in the output layer. In Japa…