Evidentials in causal premise semantics: theoretical and experimental investigation

Yurie Hara, Naho Orita, Hiromu Sakai

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

Abstract

We formalize the causal component of Davis & Hara’s (2014) analysis of Japanese evidentiality, which defines “indirect evidence” as an observation of the effect state of the cause-effect dependency. The analysis correctly predicts that uttering p-youda only commits the speaker to ‘if p, q must be true’ but not to the prejacent p, and successfully derives the asymmetry between the prejacent p and the evidence source q. Also, the results of the rating study and the corpus study show that the interpretation and the distribution of evidentials are subject to the cause-effect dependencies.

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - JSAI-isAI Workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Revised Selected Papers
EditorsKoji Mineshima, Kazuhiro Kojima, Ken Satoh, Sachiyo Arai, Daisuke Bekki, Yuiko Ohta
PublisherSpringer-Verlag
Pages282-298
Number of pages17
ISBN (Print)9783319937939
DOIs
Publication statusPublished - 2018 Jan 1
Event9th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2017 - Tsukuba, Japan
Duration: 2017 Nov 132017 Nov 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10838 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2017
CountryJapan
CityTsukuba
Period17/11/1317/11/15

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Keywords

  • Causal network
  • Causal premise semantics
  • Causality
  • Corpus study
  • Evidentiality
  • Implicature
  • Modality
  • Naturalness rating experiment

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hara, Y., Orita, N., & Sakai, H. (2018). Evidentials in causal premise semantics: theoretical and experimental investigation. In K. Mineshima, K. Kojima, K. Satoh, S. Arai, D. Bekki, & Y. Ohta (Eds.), New Frontiers in Artificial Intelligence - JSAI-isAI Workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Revised Selected Papers (pp. 282-298). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10838 LNAI). Springer-Verlag. https://doi.org/10.1007/978-3-319-93794-6_20