Predicting Japanese Word Order in Double Object Constructions

被引：0

作者：

Asahara, Masayuki ^{[1
]}

Nambu, Satoshi ^{[2
]}

Sano, Shin-Ichiro ^{[3
]}

机构：

[1] Japan Ctr Corpus Dev, Natl Inst Japanese Language & Linguist, Otsu, Shiga, Japan

[2] Monash Univ, Sch Languages Literatures Cultures & Linguist, Melbourne, Vic, Australia

[3] Keio Univ, Fac Business & Commerce, Tokyo, Japan

来源：

COGNITIVE ASPECTS OF COMPUTATIONAL LANGUAGE LEARNING AND PROCESSING | 2018年

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents a statistical model to predict Japanese word order in the double object constructions. We employed a Bayesian linear mixed model with manually annotated predicate-argument structure data. The findings from the refined corpus analysis confirmed the effects of information status of an NP as 'given-new ordering' in addition to the effects of 'long-before-short' as a tendency of the general Japanese word order.

引用

页码：36 / 40

页数：5

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