Skip to main content
SpringerLink
Log in

Evidentials in Causal Premise Semantics: Theoretical and Experimental Investigation

  • Conference paper
  • First Online:
Book cover New Frontiers in Artificial Intelligence (JSAI-isAI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10838))

Included in the following conference series:

  • 1043 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    A similar argument is made for reportative evidentials by Faller (2002); Murray (2010); AnderBois (2014).

  2. 2.

    The output for this paper was generated using Qualtrics software, Version 022018 of the Qualtrics Research Suite. 2017 Qualtrics. Qualtrics and all other Qualtrics product or service names are registered trademarks or trademarks of Qualtrics, Provo, UT, USA. http://www.qualtrics.com.

References

  • AnderBois, S.: On the exceptional status of reportative evidentials. Proc. SALT 24, 234–254 (2014)

    Article  Google Scholar 

  • Baayen, H.R.: Analyzing Linguistic Data: A Practical Introduction to Statistics Using R. Cambridge University Press, Cambridge (2008)

    Book  Google Scholar 

  • Baayen, H.R.: LanguageR. R package (2009)

    Google Scholar 

  • Baayen, H.R., Davidson, D.J., Bates, D.M.: Mixed-effects modeling with crossed random effects for subjects and items. J. Mem. Lang. 59, 390–412 (2008)

    Article  Google Scholar 

  • Bates, D.: Fitting linear mixed models in R. R News 5, 27–30 (2005)

    Google Scholar 

  • Bates, D., Maechler, M., Bolker, B.: lme4: Linear mixed-effects models using S4 classes. R package (2011)

    Google Scholar 

  • Davis, C., Hara, Y.: Evidentiality as a causal relation: a case study from Japanese youda. In: Piñón, C.P. (ed.) Empirical Issues in Syntax and Semantics, vol. 10 (2014)

    Google Scholar 

  • Faller, M.: Semantics and Pragmatics of Evidentials in Cuzco Quechua. Ph.D. thesis, Stanford University (2002)

    Google Scholar 

  • Izvorski, R.: The present perfect as an epistemic modal. Proc. SALT 7, 222–239 (1997)

    Article  Google Scholar 

  • Kaufmann, S.: Causal premise semantics. Cognit. Sci. 37, 1136–1170 (2013)

    Article  Google Scholar 

  • Kratzer, A.: Constraining premise sets for counterfactuals. J. Semant. 22, 153–158 (2005)

    Article  Google Scholar 

  • Krifka, M.: Boolean and non-boolean ‘and’. In: Kálmán, L., Pólos, L. (eds.) Papers from the Second Symposium on Logic and Language, pp. 161–188. Akadémiai Kiadó, Budapest (1990)

    Google Scholar 

  • Maekawa, K., Yamazaki, M., Ogiso, T., Maruyama, T., Ogura, H., Kashino, W., Koiso, H., Yamaguchi, M., Tanaka, M., Den, Y.: Balanced corpus of contemporary written Japanese. Lang. Resour. Eval. 48(2), 345–371 (2014)

    Article  Google Scholar 

  • Matthewson, L., Rullmann, H., Davis, H.: Evidentials are epistemic modals in St’át’imcets. In: Kiyota, M., Thompson, J.L., Yamane-Tanaka, N. (eds.) Papers for the 41st International Conference on Salish and Neighbouring Languages, vol. 18, pp. 221–263. University of British Columbia Working Papers in Linguistics (2006)

    Google Scholar 

  • McCready, E., Ogata, N.: Evidentiality, modality and probability. Linguist. Philos. 30(2), 35–63 (2007)

    Article  Google Scholar 

  • Murray, S.E.: Evidentiality and the Structure of Speech Acts. Ph.D. thesis, Rutgers (2010). http://www.semanticsarchive.net/Archive/WViOGQxY/

  • R Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2017). https://www.R-project.org/

  • Sawada, H.: Modaritii. Kaitakusha (2006)

    Google Scholar 

  • Takubo, Y.: Conditional modality: two types of modal auxiliaries in Japanese. In: Pizziconi, B., Kizu, M. (eds.) Japanese Modality: Exploring its Scope and Interpretation. Palgrave Macmillan (2009)

    Google Scholar 

Download references

Acknowledgement

This research was supported by the project “Cognitive Neuroscience of Linguistic Variation in Pragmatic Inference” at the National Institute of Japanese Language and Linguistics (PI: Hiromu Sakai, Waseda University).

Author information

Authors and Affiliations

  1. Waseda University, Tokyo, Japan

    Yurie Hara & Hiromu Sakai

  2. Tokyo University of Science, Noda, Chiba, Japan

    Naho Orita

  3. Hokkaido University, Sapporo, Japan

    Yurie Hara

Authors
  1. Yurie Hara
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Naho Orita
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hiromu Sakai
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yurie Hara .

Editor information

Editors and Affiliations

  1. Chiba University, Chiba, Japan

    Sachiyo Arai

  2. National Institute of Advanced Industrial Science and Technology, Ibaraki, Japan

    Kazuhiro Kojima

  3. Ochanomizu University, Tokyo, Japan

    Koji Mineshima

  4. Ochanomizu University, Tokyo, Japan

    Daisuke Bekki

  5. National Institute of Informatics, Tokyo, Japan

    Ken Satoh

  6. Fujitsu Laboratories Limited, Kanagawa, Japan

    Yuiko Ohta

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hara, Y., Orita, N., Sakai, H. (2018). Evidentials in Causal Premise Semantics: Theoretical and Experimental Investigation. In: Arai, S., Kojima, K., Mineshima, K., Bekki, D., Satoh, K., Ohta, Y. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2017. Lecture Notes in Computer Science(), vol 10838. Springer, Cham. https://doi.org/10.1007/978-3-319-93794-6_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-93794-6_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93793-9

  • Online ISBN: 978-3-319-93794-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation