Katsuhito Sudoh

NTT Communication Science Laboratories

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Papers73 papers

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Leveraging Neural Caption Translation with Visually Grounded Paraphrase Augmentation

Johanes Effendi,Sakriani Sakti,Katsuhito Sudoh, Satoshi Nakamura

IEICE Transactions, no. 3 (2020): 674-683

EIBibtex

Image Captioning with Visual Object Representations Grounded in the Textual Modality

Dušan Variš,Katsuhito Sudoh,Satoshi Nakamura

Bibtex

Analysis of selective attention processing on experienced simultaneous interpreters using EEG phase synchronization

Haruko Yagura,Hiroki Tanaka, Taiki Kinoshita,Hiroki Watanabe, Shunnosuke Motomura,Katsuhito Sudoh,Satoshi Nakamura

EMBC, (2020): 66-69

WOSEIBibtex

Multi-Source Neural Machine Translation With Missing Data

Yuta Nishimura,Katsuhito Sudoh,Graham Neubig,Satoshi Nakamura

IEEE/ACM Transactions on Audio, Speech, and Language Processing, (2020): 569-580

EIWOSBibtex

Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS

Katsuhito Sudoh,Takatomo Kano, Sashi Novitasari, Tomoya Yanagita,Sakriani Sakti,Satoshi Nakamura

Bibtex

Automatic Machine Translation Evaluation using Source Language Inputs and Cross-lingual Language Model

Kosuke Takahashi,Katsuhito Sudoh, Satoshi Nakamura

ACL, pp.3553-3558, (2020)

EIBibtex

Findings of the Third Workshop on Neural Generation and Translation

Hiroaki Hayashi, Yusuke Oda,Alexandra Birch, Ioannis Konstas,Andrew M. Finch,Minh-Thang Luong,Graham Neubig,Katsuhito Sudoh

Proceedings of the 3rd Workshop on Neural Generation and Translation, (2019)

Cited by10Bibtex

Findings of the Third Workshop on Neural Generation and Translation

Hiroaki Hayashi, Yusuke Oda,Alexandra Birch, Ioannis Konstas,Andrew M. Finch,Minh-Thang Luong,Graham Neubig,Katsuhito Sudoh

NGT@EMNLP-IJCNLP, pp.1-14, (2019)

Cited by10EIBibtex

Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding

Shohei Tanaka,Koichiro Yoshino,Katsuhito Sudoh,Satoshi Nakamura

CoRR, (2019)

EIBibtex

Simultaneous Neural Machine Translation using Connectionist Temporal Classification

Chousa Katsuki,Sudoh Katsuhito,Nakamura Satoshi

Bibtex

Multi-Source Neural Machine Translation with Data Augmentation

Yuta Nishimura,Katsuhito Sudoh,Graham Neubig,Satoshi Nakamura

arXiv: Computation and Language, (2018)

Cited by9EIBibtex

Training Neural Machine Translation using Word Embedding-based Loss

Katsuki Chousa,Katsuhito Sudoh,Satoshi Nakamura

arXiv: Computation and Language, (2018)

EIBibtex

Multi-Source Neural Machine Translation with Missing Data

Yuta Nishimura,Katsuhito Sudoh,Graham Neubig,Satoshi Nakamura

IEEE/ACM Trans. Audio, Speech & Language Processing, (2018): 569-580

Cited by9EIBibtex

Another Diversity-Promoting Objective Function for Neural Dialogue Generation

Ryo Nakamura,Katsuhito Sudoh,Koichiro Yoshino,Satoshi Nakamura

arXiv: Computation and Language, (2018)

EIBibtex

Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings

Junki Matsuo,Mamoru Komachi,Katsuhito Sudoh

arXiv: Computation and Language, (2017)

EIBibtex

Learning to Rank for Coordination Detection

Xun Wang, Rumeng Li,Hiroyuki Shindo,Katsuhito Sudoh,Masaaki Nagata

CICLing, pp.145-157, (2017)

EIBibtex

An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation

Makoto Morishita,Yusuke Oda,Graham Neubig,Koichiro Yoshino,Katsuhito Sudoh,Satoshi Nakamura

NMT@ACL, (2017)

Cited by15EIBibtex

Tree as a Pivot: Syntactic Matching Methods in Pivot Translation

Akiva Miura,Graham Neubig,Katsuhito Sudoh,Satoshi Nakamura

WMT, pp.90-98, (2017)

Cited by3EIBibtex

Learning to Answer Questions by Understanding Using Entity-Based Memory Network

Xun Wang,Katsuhito Sudoh,Masaaki Nagata,Tomohide Shibata,Daisuke Kawahara,Sadao Kurohashi

Computación y Sistemas, no. 4 (2017)

EIBibtex

A Simple and Strong Baseline: NAIST-NICT Neural Machine Translation System for WAT2017 English-Japanese Translation Task

Yusuke Oda,Katsuhito Sudoh,Satoshi Nakamura,Masao Utiyama,Eiichiro Sumita

WAT@IJCNLP, pp.135-139, (2017)

Cited by3EIBibtex

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