Multiple subject constructions in japanese: A dynamic syntax account

Hiroaki Nakamura, Kei Yoshimoto, Yoshiki Mori, Masahiro Kobayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


Though Multiple Subject Constructions have long received much attention mainly from syntactic points of view because they show distinctive features of languages like Japanese, a unified treatment which tries to translate MSCs into appropriate semantic representations/logical forms has not been proposed yet. This study presents how logical structures of MSCs are built up in a time-linear parsing perspective. We highlight an important semantic feature of a set of common nouns often called relational nouns which enables the layers of predication to be formed in MSCs. This group of nouns inherently have an extra variable inside, which can be bound by the preceding subjects in MSCs. We argue that subjects are licensed not by argument structures of verbs but by open propositions in Japanese stative sentences, and show that our analysis can account for some asymmetries in extraction constructions, such as relative and cleft constructions.

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - JSAI 2008 Conference and Workshops, Revised Selected Papers
Number of pages16
Publication statusPublished - 2009 Jul 23
EventJSAI 2008 Conference and Workshops: New Frontiers in Artificial Intelligence - Asahikawa, Japan
Duration: 2008 Jun 112008 Jun 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5447 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherJSAI 2008 Conference and Workshops: New Frontiers in Artificial Intelligence


  • Dynamic Syntax
  • Major subject
  • Multiple Subject Construction
  • Relational noun
  • Time-linear parsing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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