@inproceedings{orita-2017-predicting,
title = "Predicting {J}apanese scrambling in the wild",
author = "Orita, Naho",
editor = "Gibson, Ted and
Linzen, Tal and
Sayeed, Asad and
van Schijndel, Martin and
Schuler, William",
booktitle = "Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics ({CMCL} 2017)",
month = apr,
year = "2017",
address = "Valencia, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-0706",
doi = "10.18653/v1/W17-0706",
pages = "41--45",
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.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="orita-2017-predicting">
<titleInfo>
<title>Predicting Japanese scrambling in the wild</title>
</titleInfo>
<name type="personal">
<namePart type="given">Naho</namePart>
<namePart type="family">Orita</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2017-04</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2017)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Ted</namePart>
<namePart type="family">Gibson</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Tal</namePart>
<namePart type="family">Linzen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Asad</namePart>
<namePart type="family">Sayeed</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Martin</namePart>
<namePart type="family">van Schijndel</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">William</namePart>
<namePart type="family">Schuler</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Valencia, Spain</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<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.</abstract>
<identifier type="citekey">orita-2017-predicting</identifier>
<identifier type="doi">10.18653/v1/W17-0706</identifier>
<location>
<url>https://aclanthology.org/W17-0706</url>
</location>
<part>
<date>2017-04</date>
<extent unit="page">
<start>41</start>
<end>45</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Predicting Japanese scrambling in the wild
%A Orita, Naho
%Y Gibson, Ted
%Y Linzen, Tal
%Y Sayeed, Asad
%Y van Schijndel, Martin
%Y Schuler, William
%S Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2017)
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F orita-2017-predicting
%X 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.
%R 10.18653/v1/W17-0706
%U https://aclanthology.org/W17-0706
%U https://doi.org/10.18653/v1/W17-0706
%P 41-45
Markdown (Informal)
[Predicting Japanese scrambling in the wild](https://aclanthology.org/W17-0706) (Orita, CMCL 2017)
ACL
- Naho Orita. 2017. Predicting Japanese scrambling in the wild. In Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2017), pages 41–45, Valencia, Spain. Association for Computational Linguistics.