Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information

no code implementations • IJCNLP 2017 • An Nguyen Le, Ander Martinez, Akifumi Yoshimoto, Yuji Matsumoto

In order to assess the performance, we construct model based on an attention mechanism encoder-decoder model in which the source language is input to the encoder as a sequence and the decoder generates the target language as a linearized dependency tree structure.

Machine Translation Translation

Identification of Flexible Multiword Expressions with the Help of Dependency Structure Annotation

no code implementations • WS 2016 • Ayaka Morimoto, Akifumi Yoshimoto, Akihiko Kato, Hiroyuki Shindo, Yuji Matsumoto

This paper presents our ongoing work on compilation of English multi-word expression (MWE) lexicon.

Coordination-Aware Dependency Parsing (Preliminary Report)

no code implementations • WS 2015 • Akifumi Yoshimoto, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto

Dependency Parsing Semantic Textual Similarity

Construction of English MWE Dictionary and its Application to POS Tagging

no code implementations • WS 2013 • Yutaro Shigeto, Ai Azuma, Sorami Hisamoto, Shuhei Kondo, Tomoya Kose, Keisuke Sakaguchi, Akifumi Yoshimoto, Frances Yung, Yuji Matsumoto

POS