Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/64738
Type: | Conference paper |
Title: | Why are some word orders more common than others? A uniform information density account |
Author: | Maurits, L. Perfors, A. Navarro, D. |
Citation: | Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems. Proceedings of a meeting held in Vancover, Canada, 6-9 December 2010 / J. Lafferty... et al.(eds.) pp.1-9 |
Publisher: | NIPS |
Issue Date: | 2010 |
ISBN: | 9781617823800 |
Conference Name: | Neural Information Processing Systems (24th : 2010 : Cambridge) |
Statement of Responsibility: | Luke Maurits, Amy Perfors and Daniel Navarro |
Abstract: | Languages vary widely in many ways, including their canonical word order. A basic aspect of the observed variation is the fact that some word orders are much more common than others. Although this regularity has been recognized for some time, it has not been well-explained. In this paper we offer an informationtheoretic explanation for the observed word-order distribution across languages, based on the concept of Uniform Information Density (UID). We suggest thatobject-first languages are particularly disfavored because they are highly nonoptimal if the goal is to distribute information content approximately evenly throughout a sentence, and that the rest of the observed word-order distribution is at least partially explainable in terms of UID. We support our theoretical analysis with data from child-directed speech and experimental work. |
Rights: | © Author |
Published version: | http://papers.nips.cc/paper/4085-why-are-some-word-orders-more-common-than-others-a-uniform-information-density-account |
Appears in Collections: | Aurora harvest 2 Psychology publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_64738.pdf | Published version | 215.36 kB | Adobe PDF | View/Open |
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