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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
49
Citations
8567
World Ranking
5942
National Ranking
81

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Eiichiro Sumita is affiliated with the National Institute of Information and Communications Technology in Japan. Their research primarily focuses on computer science, with a concentration in artificial intelligence, computer vision and pattern recognition, information systems, computer science applications, and computer networks and communications.

Their scholarly output includes a significant number of publications covering several key topics: natural language processing techniques, topic modeling, multimodal machine learning applications, text readability and simplification, speech recognition and synthesis, handwritten text recognition techniques, and speech and dialogue systems.

Frequent publication venues for Eiichiro Sumita include:

  • arXiv (Cornell University)
  • Journal of Natural Language Processing
  • ACM Transactions on Asian and Low-Resource Language Information Processing
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Zenodo (CERN European Organization for Nuclear Research)

Key recent papers authored or co-authored by Eiichiro Sumita are:

  • Text Compression-aided Transformer Encoding, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Extremely low-resource neural machine translation for Asian languages, 2020, Machine Translation
  • Unsupervised Neural Machine Translation With Cross-Lingual Language Representation Agreement, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Universal Multimodal Representation for Language Understanding, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Towards More Diverse Input Representation for Neural Machine Translation, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing

Their frequent co-authors include Masao Utiyama, Rui Wang, Kehai Chen, Hai Zhao, and Zuchao Li. Collaborations with these researchers have occurred across multiple publications.

Best Publications

  • Toward a Broad-coverage Bilingual Corpus for Speech Translation of Travel Conversations in the Real World

    Toshiyuki Takezawa;Eiichiro Sumita;Fumiaki Sugaya;Hirofumi Yamamoto

  • EXPERIMENTS AND PROSPECTS OF EXAMPLE-BASED MACHINE TRANSLATION

    Eiichiro Sumita;Hitoshi Hda

  • Overview of the patent machine translation task at the NTCIR-9 workshop

    Isao Goto;Bin Lu;Ka Po Chow;Eiichiro Sumita

  • ASPEC: Asian Scientific Paper Excerpt Corpus

    Toshiaki Nakazawa;Manabu Yaguchi;Kiyotaka Uchimoto;Masao Utiyama

  • The ATR Multilingual Speech-to-Speech Translation System

    S. Nakamura;K. Markov;H. Nakaiwa;G. Kikui

  • Creating corpora for speech-to-speech translation.

    Gen-ichiro Kikui;Eiichiro Sumita;Toshiyuki Takezawa;Seiichi Yamamoto

  • Reordering constraints for phrase-based statistical machine translation

    Richard Zens;Hermann Ney;Taro Watanabe;Eiichiro Sumita

  • Measuring Non-native Speakers' Proficiency of English by Using a Test with Automatically-Generated Fill-in-the-Blank Questions

    Eiichiro Sumita;Fumiaki Sugaya;Seiichi Yamamoto

  • Instance Weighting for Neural Machine Translation Domain Adaptation

    Rui Wang;Masao Utiyama;Lemao Liu;Kehai Chen

  • Neural Machine Translation with Supervised Attention

    Lemao Liu;Masao Utiyama;Andrew M. Finch;Eiichiro Sumita

  • Overview of the 1st Workshop on Asian Translation

    Toshiaki Nakazawa;Shohei Higashiyama;Chenchen Ding;Hideya Mino

  • Translating with Examples: A New Approach to Machine Translation

    Eiichiro Sumita;Hitoshi Iida;Hideo Kohyama

  • Using Machine Translation Evaluation Techniques to Determine Sentence-level Semantic Equivalence.

    Andrew M. Finch;Young-Sook Hwang;Eiichiro Sumita

  • Guiding Neural Machine Translation with Retrieved Translation Pieces

    Jingyi Zhang;Masao Utiyama;Eiichiro Sumita;Graham Neubig

  • Agreement on Target-bidirectional Neural Machine Translation

    Lemao Liu;Masao Utiyama;Andrew M. Finch;Eiichiro Sumita

  • An Unsupervised Model for Joint Phrase Alignment and Extraction

    Graham Neubig;Taro Watanabe;Eiichiro Sumita;Shinsuke Mori

  • Syntax-Directed Attention for Neural Machine Translation

    Kehai Chen;Rui Wang;Masao Utiyama;Eiichiro Sumita

  • Sentence Embedding for Neural Machine Translation Domain Adaptation

    Rui Wang;Andrew M. Finch;Masao Utiyama;Eiichiro Sumita

  • Using multiple edit distances to automatically rank machine translation output

    Yasuhiro Akiba;Kenji Imamura;Eiichiro Sumita

  • Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation

    Kenji Imamura;Atsushi Fujita;Eiichiro Sumita

  • Neural Machine Translation with Universal Visual Representation

    Zhuosheng Zhang;Kehai Chen;Rui Wang;Masao Utiyama

Frequent Co-Authors

Masao Utiyama
Masao Utiyama National Institute of Information and Communications Technology
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Hai Zhao
Hai Zhao Shanghai Jiao Tong University
Seiichi Yamamoto
Seiichi Yamamoto Doshisha University
Michael J. Paul
Michael J. Paul University of Colorado Boulder
Graham Neubig
Graham Neubig Carnegie Mellon University
Sadao Kurohashi
Sadao Kurohashi Kyoto University
Yuji Matsumoto
Yuji Matsumoto Nara Institute of Science and Technology
Bao-Liang Lu
Bao-Liang Lu Shanghai Jiao Tong University
Hiroshi G. Okuno
Hiroshi G. Okuno Waseda University

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