PeopleofSuperintelligence

Researcher

Kumiko Tanaka-Ishii

Kumiko Tanaka-Ishii is a computational linguist whose research connects mathematical models of language with natural language processing and AI. She studied mathematical engineering and functional programming at the University of Tokyo, completed a doctorate in natural language processing, and held research and faculty posts at the Agency of Industrial Science and Technology, the University of Tokyo, and Kyushu University. Her books examine programming as a sign system and natural language as a complex system, while her recent papers use statistical structure to compare language models with human-written text. She is a professor in Waseda's School of Fundamental Science and Engineering, where her work combines large language models and machine learning with methods from statistical mechanics.

Born
1969
Badges

Years link to their sources.

Timeline

  1. 1987–1997

    Degrees at the University of Tokyo

    She studies mathematical engineering and information physics at the University of Tokyo from 1987 to 1991, earns an M.E. in functional programming language in 1993, and completes a Ph.D. in natural language processing in 1997. From 1994 to 1995, she is a visiting researcher at LIMSI-CNRS.

  2. 1997–2003

    Senior lecturer at Tokyo

    She works at the Agency of Industrial Science and Technology from 1997 to 2000, then joins the University of Tokyo's Graduate School of Interdisciplinary Information Studies as a senior lecturer in 2000. In 2003, she coauthors the ACL paper Acquiring vocabulary for predictive text entry through dynamic reuse of a small user corpus.

  3. 2003–2012

    Developing language-processing software

    She is an associate professor at the University of Tokyo's Information Technology Center from 2003 to 2005, then at its Graduate School of Information Science and Technology until 2012. Her lab develops language technology from mathematical models of natural language and semiotic systems.

  4. 2008

    A Young Scientists' Prize

    She receives the Ministry of Education, Culture, Sports, Science and Technology's Young Scientists' Prize in 2008.

  5. 2010–2011

    Semiotics of Programming

    Her 2010 book Semiotics of Programming applies theories of signs to computer programming. It wins the Suntory Academic Award in Philosophy and History in 2010 and the Okawa Book Award in 2011.

  6. 2012–2023

    Professorships at Kyushu and Tokyo

    She becomes a professor at Kyushu University in April 2012, then joins the University of Tokyo's RCAST as a professor in April 2016. She remains at RCAST until March 2023.

  7. 2021

    Statistical Universals of Language

    Her 2021 book Statistical Universals of Language proposes natural language as a complex system and examines properties such as Zipf's law and long-range correlation. The book wins The Mainichi Publishing Culture Award in November 2021.

  8. 2025–2026

    Professor at Waseda

    She is a professor in Waseda's Department of Computer Science and Engineering, School of Fundamental Science and Engineering, a post she begins in April 2023. From 2025, she also serves on the review committees for AAAI, NeurIPS, and ICML, and her research combines large language models and machine learning with analytical tools from statistical mechanics. In 2025, she coauthors Correlation dimension of autoregressive large language models at NeurIPS; in 2026, her ACL paper uses repeated subsequences to identify structural differences between GPT-generated and human-written text.

Career

  1. From 2023Waseda UniversityProfessor
  2. 2012–2016Kyushu UniversityProfessor
  3. 2000–2023University of TokyoSenior Lecturer, Associate Professor
  4. 1997–2000Agency of Industrial Science and Technology
  5. 1994–1995CNRSVisiting Researcher

Education

  1. 1997University of TokyoPh.D.
  2. 1993University of TokyoM.E.
  3. 1991University of Tokyo

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Waseda University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Waseda University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes University of Tokyo. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.
  4. Universities keep AI researchers for a median of 6 years, compared with 2 years at frontier labsIncludes University of Tokyo. Across 15,811 dated work stays (6,529 people), median role tenure runs from 6 years at universities to 2 years at frontier labs. We compare all five organization types, starting decades from the 1970s to the 2020s, and the organizations that keep people longest.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Details of a Researcher - TANAKA-ISHII, Kumiko w-rdb.waseda.jp. Checked 20 October 2026.
  2. Computational linguistics and Natural Language Processing i.u-tokyo.ac.jp. Checked 20 October 2026.
  3. UTokyo BiblioPlaza - SEMIOTICS OF PROGRAMMING u-tokyo.ac.jp. Checked 20 October 2026.
  4. UTokyo BiblioPlaza - Statistical Universals of Language u-tokyo.ac.jp. Checked 20 October 2026.
  5. Kumiko Tanaka-Ishii - CHIA chia.cam.ac.uk. Checked 20 October 2026.
  6. Repeated Sequences Reveal Gaps between Large Language Models and Natural Language arxiv.org. Checked 20 October 2026.
  7. Repeated Sequences Reveal Gaps between Large Language Models and Natural Language - ACL Anthology aclanthology.org. Checked 20 October 2026.