通过分布学习获得递归结构

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Daoxin Li, Kathryn D. Schuler
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引用次数: 1

摘要

摘要语言在递归结构的深度、结构和句法领域方面各不相同。即使在一种语言中,一些结构也允许无限的自嵌入,而另一些结构则更受限制。例如,在表达所有权关系时,英语允许名词前属格-s的无限嵌入,而名词后属格的限制要大得多。说话者如何学习哪些特定结构允许无限嵌入,哪些不允许?分布式学习建议表明,如果X1位置和X2位置在非递归输入中是有效可替代的,则结构的递归(例如,X1’s X2)是许可的。本研究通过一个人工语言学习实验来验证这一提议。我们让成年参与者接触X1-ka-X2字符串。在生产条件下,几乎所有被证明在X1位置的单词也被证明在X2位置;在没有生产力的情况下,只有一些是。我们发现,正如预测的那样,与非生产性条件的参与者相比,生产性条件下的参与者更有可能在一个和两个嵌入级别上接受未经测试的字符串。我们的结果表明,说话者可以在一个嵌入级别上使用分布信息来学习结构是否是递归的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acquiring recursive structures through distributional learning
ABSTRACT Languages differ regarding the depth, structure, and syntactic domains of recursive structures. Even within a single language, some structures allow infinite self-embedding while others are more restricted. For example, when expressing ownership relation, English allows infinite embedding of the prenominal genitive -s, whereas the postnominal genitive of is much more restricted. How do speakers learn which specific structures allow infinite embedding and which do not? The distributional learning proposal suggests that the recursion of a structure (e.g., X1’s-X2 ) is licensed if the X1 position and the X2 position are productively substitutable in non-recursive input. The present study tests this proposal with an artificial language learning experiment. We exposed adult participants to X1-ka-X2 strings. In the productive condition, almost all words attested in X1 position were also attested in X2 position; in the unproductive condition, only some were. We found that, as predicted, participants from the productive condition were more likely to accept unattested strings at both one- and two-embedding levels than participants from the unproductive condition. Our results suggest that speakers can use distributional information at one-embedding level to learn whether or not a structure is recursive.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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