Uncertainty reduction as a predictor of reading difficulty in Chinese relative clauses ∗
Uncertainty reduction as a predictor of reading difficulty in Chinese relative clauses ∗
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不确定性降低作为中文关系从句阅读难度的预测因子*
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
J. Hale
中科院分区：
文献类型：
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作者：
Zhong Chen;L. Jäger;J. Hale
本文应用增量复杂度度量熵减（ER）模型对汉语前置关系从句的加工过程进行了研究。ER形式化了一个理想的解析器所获得的信息量，因为它努力减少句子理解过程中的结构不确定性。在这项工作中，每个词的ER值反映了转换句法的建议，以及分布频率估计从中国树库。我们发现，这些假设加在一起足以得出主语和宾语提取关系从句之间的加工对比。这一预测与Lin &贝弗（2006）等的实证结果一致。这些ER值总结了句法选择的概率分布的变化，包括对未来单词的预期。这一研究方法丰富了关系从句加工的结构频率理论，并对歧义消解进行了详细的解释。
This work applies the incremental complexity metric, Entropy Reduction (ER), to model the processing of prenominal Chinese relative clauses. ER formalizes the amount of information gained by an ideal parser as it strives to reduce structural uncertainty during sentence comprehension. In this work, per-word ER values reflect transformational syntactic proposals as well as distributional frequencies estimated from the Chinese Treebank. We show that these assumptions together are sufficient to derive the processing contrast between subjectand object-extracted relative clauses. This prediction is consistent with empirical results such as Lin & Bever 2006, among others. These ER values summarize changes in the probability distribution over syntactic alternatives, including expectations for future words. This approach enriches the structural frequency idea about relative clause processing with a more detailed explanation of ambiguity-resolution on a word-by-word basis.
间隙填充依赖性的增量处理：来自日语主语和宾语裂口处理的证据
DOI：
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发表时间：
2011
期刊：
The Proceedings of the 10th Tokyo Conference on Psycholinguistics
影响因子：
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作者：
Mark Mullins;et al.;David Yoo and Albert Park;eds.;Hideyo Ogawa;田中咲子;鈴木義一;Baris Kahraman
通讯作者：
Baris Kahraman