Predicting japanese scrambling in the wild

Naho Orita*

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Japanese speakers have a choice between canonical SOV and scrambled OSV word order to express the same meaning. Although previous experiments examine the influence of one or two factors for scrambling in a controlled setting, it is not yet known what kinds of multiple effects contribute to scrambling. This study uses naturally distributed data to test the multiple effects on scrambling simultaneously. A regression analysis replicates the NP length effect and suggests the influence of noun types, but it provides no evidence for syntactic priming, given-new ordering, and the animacy effect. These findings only show evidence for sentence-internal factors, but we find no evidence that discourse level factors play a role.

本文言語English
ホスト出版物のタイトルCMCL 2017 - Cognitive Modeling and Computational Linguistics at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings
編集者Ted Gibson, Tal Linzen, Asad Sayeed, Marten van Schijndel, William Schuler
出版社Association for Computational Linguistics (ACL)
ページ41-45
ページ数5
ISBN(電子版)9781945626388
出版ステータスPublished - 2017
外部発表はい
イベント7th Workshop in Cognitive Modeling and Computational Linguistics, CMCL 2017 at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Valencia, Spain
継続期間: 2017 4月 3 → …

出版物シリーズ

名前CMCL 2017 - Cognitive Modeling and Computational Linguistics at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings

Conference

Conference7th Workshop in Cognitive Modeling and Computational Linguistics, CMCL 2017 at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017
国/地域Spain
CityValencia
Period17/4/3 → …

ASJC Scopus subject areas

  • 計算理論と計算数学
  • ソフトウェア
  • 言語学および言語

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