Predicting japanese scrambling in the wild

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Abstract

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.

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APA

Orita, N. (2017). Predicting japanese scrambling in the wild. In CMCL 2017 - Cognitive Modeling and Computational Linguistics at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings (pp. 41–45). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-0706

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