Book Reviews: Architectures and Mechanisms for Language Processing
Book Reviews: Architectures and Mechanisms for Language Processing
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书评：语言处理的架构和机制
DOI：
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
Amy Weinberg
中科院分区：
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作者：
Amy Weinberg
心理语言学家关注的问题对于从事合作语言研究的人来说是非常熟悉的。心理语言学的一个主要研究领域是确定听者在在线句子理解过程中如何使用频率和其他基于经验的信息。这本书给计算学家一个杰出的指导，在该领域的当前问题。很明显，心理语言学已经受到了最近在CL方面的工作的影响，并且已经成熟，可以进一步交叉施肥。许多论文认识到，需要更严格的建模，这些模型将需要从计算语言学的见解。我将强调一些问题，塑造当前的辩论，特别强调心理语言学和CL之间的共同利益的领域。人类句子处理理论中的主要数据来源来自示例（1）和（2）中暂时歧义句子的消歧：
The concerns of psycholinguists will look very familiar to people engaged in CL research. A major area of investigation in psycholinguistics is determining how a listener uses frequency and other experience-based information during on-line sentence understanding. This book gives computationalists a distinguished guide to the current issues in the field. It is very clear that psycholinguistics has been influenced by recent work in CL, and is ripe for further cross-fertilization. Many of the papers recognize that more rigorous modeling is called for and that these models will require insights from computational linguistics. I will highlight some of the issues that shape current debates, with particular emphasis on areas of common interest between psycholinguistics and CL. The major source of data in the theory of human sentence processing comes from the disambiguation of temporarily ambiguous sentences as in examples (1) and (2):