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解析模型与记忆的理性理论。

Parsing Model and a Rational Theory of Memory.

作者信息

Dotlačil Jakub, de Haan Puck

机构信息

Utrecht Institute of Linguistics, Utrecht University, Utrecht, Netherlands.

Artificial Intelligence, University of Amsterdam, Amsterdam, Netherlands.

出版信息

Front Psychol. 2021 Jun 23;12:657705. doi: 10.3389/fpsyg.2021.657705. eCollection 2021.

DOI:10.3389/fpsyg.2021.657705
PMID:34248751
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8261045/
Abstract

This paper explores how the rational theory of memory summarized in Anderson (1991) can inform the computational psycholinguistic models of human parsing. It is shown that transition-based parsing is particularly suitable to be combined with Anderson's theory of memory systems. The combination of the rational theory of memory with the transition-based parsers results in a model of sentence processing that is data-driven and can be embedded in the cognitive architecture Adaptive Control of Thought-Rational (ACT-R). The predictions of the parser are tested against qualitative data (garden-path sentences) and a self-paced reading corpus (the Natural Stories corpus).

摘要

本文探讨了安德森(1991年)总结的记忆理性理论如何为人类句法分析的计算心理语言学模型提供信息。研究表明,基于转换的句法分析特别适合与安德森的记忆系统理论相结合。记忆理性理论与基于转换的句法分析器相结合,产生了一种句子处理模型,该模型是数据驱动的,并且可以嵌入到思维自适应控制-理性(ACT-R)认知架构中。该句法分析器的预测通过定性数据(花园小径句子)和自定步速阅读语料库(自然故事语料库)进行检验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f240/8261045/d6cbac411b0d/fpsyg-12-657705-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f240/8261045/cbf5893fe8b2/fpsyg-12-657705-g0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f240/8261045/d5a4742afd32/fpsyg-12-657705-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f240/8261045/d6cbac411b0d/fpsyg-12-657705-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f240/8261045/cbf5893fe8b2/fpsyg-12-657705-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f240/8261045/52ec1a01ecf8/fpsyg-12-657705-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f240/8261045/d5a4742afd32/fpsyg-12-657705-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f240/8261045/d6cbac411b0d/fpsyg-12-657705-g0005.jpg

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本文引用的文献

1
The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions.自然故事语料库:一个包含罕见句法结构的英语文本阅读时间语料库。
Lang Resour Eval. 2021;55(1):63-77. doi: 10.1007/s10579-020-09503-7. Epub 2020 Sep 4.
2
A Principled Approach to Feature Selection in Models of Sentence Processing.基于原则的句子处理模型中的特征选择方法。
Cogn Sci. 2020 Dec;44(12):e12918. doi: 10.1111/cogs.12918.
3
Interference patterns in subject-verb agreement and reflexives revisited: A large-sample study.主谓一致和反身代词中的干扰模式再探讨:一项大样本研究。
J Mem Lang. 2020 Apr;111. doi: 10.1016/j.jml.2019.104063. Epub 2019 Dec 10.
4
The Effect of Prominence and Cue Association on Retrieval Processes: A Computational Account.突出性和线索关联对检索过程的影响:一种计算解释
Cogn Sci. 2019 Dec;43(12):e12800. doi: 10.1111/cogs.12800.
5
Computational Models of Retrieval Processes in Sentence Processing.句子处理中检索过程的计算模型。
Trends Cogn Sci. 2019 Nov;23(11):968-982. doi: 10.1016/j.tics.2019.09.003. Epub 2019 Oct 23.
6
Exploratory and Confirmatory Analyses in Sentence Processing: A Case Study of Number Interference in German.句子处理中的探索性与验证性分析:以德语数字干扰为例的研究
Cogn Sci. 2018 Jun;42 Suppl 4:1075-1100. doi: 10.1111/cogs.12589. Epub 2018 Feb 7.
7
Encoding and Retrieval Interference in Sentence Comprehension: Evidence from Agreement.句子理解中的编码与检索干扰:来自一致性的证据。
Front Psychol. 2018 Jan 19;9:2. doi: 10.3389/fpsyg.2018.00002. eCollection 2018.
8
Building an ACT-R Reader for Eye-Tracking Corpus Data.构建用于眼动追踪语料库数据的 ACT-R 读者。
Top Cogn Sci. 2018 Jan;10(1):144-160. doi: 10.1111/tops.12315. Epub 2017 Dec 18.
9
Left-Corner Parsing With Distributed Associative Memory Produces Surprisal and Locality Effects.使用分布式联想记忆的左角解析会产生惊奇效应和局部性效应。
Cogn Sci. 2018 Jun;42 Suppl 4:1009-1042. doi: 10.1111/cogs.12511. Epub 2017 Aug 1.
10
The logical primitives of thought: Empirical foundations for compositional cognitive models.思维的逻辑原语:组合认知模型的经验基础。
Psychol Rev. 2016 Jul;123(4):392-424. doi: 10.1037/a0039980. Epub 2016 Apr 14.