Rchr
J-GLOBAL ID:201101080713994898   Update date: Feb. 01, 2024

Kanazawa Makoto

カナザワ マコト | Kanazawa Makoto
Affiliation and department:
Job title: Professor
Homepage URL  (2): https://makotokanazawa.ws.hosei.ac.jp/https://makotokanazawa.ws.hosei.ac.jp
Research field  (5): Intelligent informatics ,  Linguistics ,  Applied mathematics and statistics ,  Basic mathematics ,  Information theory
Research keywords  (5): Mathematical Logic ,  Grammatical Inference ,  Semantics ,  Formal Language Theory ,  Mathematical Linguistics
Research theme for competitive and other funds  (9):
  • 2017 - 2023 Advances in the Theory of Distributional Learning of Formal Languages
  • 2014 - 2018 Study on the learning of formal languages consisting of natural language sentences and their semantic expressions based on distributional learning
  • 2013 - 2016 文脈自由木文法の生成する木言語および文字列言語の性質の研究
  • 2009 - 2011 型つきラムダ計算とDatalogに基づく構文解析・文生成の研究
  • 2007 - 2008 Reduction of Parsing and Generation to Datalog Through Typed Lambda
Show all
Papers (50):
  • Makoto Kanazawa. Learning Context-Free Grammars from Positive Data and Membership Queries. Logic, Language, Information, and Computation. 2023. 3-18
  • Makoto Kanazawa, Ryo Yoshinaka. Extending Distributional Learning from Positive Data and Membership Queries. Proceedings of Machine Learning Research. 2023. 217. 8-22
  • Makoto Kanazawa, Ryo Yoshinaka. A hierarchy of context-free languages learnable from positive data and membership queries. Proceedings of Machine Learning Research. 2021. 153. 18-31
  • Makoto Kanazawa. Ogden's lemma, multiple context-free grammars, and the control language hierarchy. Information and Computation. 2019. 269. 104449-104449
  • Makoto Kanazawa, Tobias Kappé. Decision problems for Clark-congruential languages. Proceedings of Machine Learning Research. 2019. 93. 3-16
more...
MISC (2):
  • Remi Eyraud, Colin de la Higuera, Makoto Kanazawa, Ryo Yoshinaka. Grammatical Inference Preface. FUNDAMENTA INFORMATICAE. 2016. 146. 4. I-II
  • Makoto Kanazawa. Review of Michael R. Brent, ed., Computational Approaches to Language Acquisition. Journal of Logic, Language and Information. 2004. 13. 3. 377-378
Books (3):
  • JFAK: Essays Dedicated to Johan van Benthem on the Occasion of His 50th Birthday
    Vossiuspers, Amsterdam University Press, CD-ROM 1999
  • Learnable Classes of Categorial Grammars
    Stanford, California: CSLI Publications 1998
  • Dynamics, Polarity, and Quantification
    Stanford, California: CSLI Publications 1994
Lectures and oral presentations  (61):
  • Learning context-free grammars from positive data and membership queries
    (29th Workshop on Logic, Language, Information and Computation 2023)
  • A Hierarchy of Context-Free Languages Learnable from Positive Data and Membership Queries
    (ICGI 2020/2021 2021)
  • What was wrong with the Chomsky hierarchy?
    (The 25th International Conference on Head-Driven Phrase Structure Grammar 2018)
  • The Strong, Weak, and Very Weak Finite Context and Kernel Properties
    (LATA 2017: Language and Automata Theory and Applications 2017)
  • Ogden's lemma, multiple context-free grammars, and the control language hierarchy
    (10th International Conference on Language and Automata Theory and Applications 2016)
more...
Professional career (1):
  • Ph.D. (Stanford University)
Work history (4):
  • 2018/04 - 現在 Hosei University Faculty of Science and Engineering Department of Advanced Sciences Professor
  • 2004/04 - 2018/03 National Institute of Informatics Associate Professor
  • 2000/04 - 2004/03 The University of Tokyo Interfaculty Initiative in Information Studies Graduate School of Interdisciplinary Information Studies Associate Professor
  • 1994/07 - 2000/03 Chiba University Faculty of Letters Associate Professor
Association Membership(s) (6):
Association for Mathematics of Language ,  Mathematical Society of Japan ,  日本数学会 ,  European Association for Theoretical Computer Science ,  Association for Logic, Language and Information ,  Association for Symbolic Logic
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page