Exposure-based models of human parsing: Evidence for the use of coarse-grained (nonlexical) statistical records
Exposure-based models of human parsing: Evidence for the use of coarse-grained (nonlexical) statistical records
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基于暴露的人类解析模型：使用粗粒度（非词汇）统计记录的证据
DOI：
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发表时间：
1995
期刊：
影响因子：
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通讯作者：
M. Brysbaert
中科院分区：
文献类型：
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作者：
D. Mitchell;F. Cuetos;M. Corley;M. Brysbaert
当前的几种人类解析模型认为，最初的结构决策受到听众或读者之前与语言的接触的影响（或调整）。这些模型的精确工作取决于“粒度”或细节级别，在“粒度”或细节级别上，对先前接触的语言进行分析并用于影响解析决策。一些模型以细粒度记录的使用为前提（例如词汇共现统计）。其他人则使用更粗略的措施。本文考虑仅基于使用细粒度词汇记录的模型的可行性。对几项研究的结果进行了审查，证据表明，如果要解释数据，基于经验的解析器必须利用记录或表示来捕获词汇级别之外的统计规律。这给文献中的几种解析模型带来了问题。
Several current models of human parsing maintain that initial structural decisions are influenced (or tuned) by the listener's or reader's prior contact with language. The precise workings of these models depend upon the “grain,” or level of detail, at which previous exposures to language are analyzed and used to influence parsing decisions. Some models are premised upon the use of fine-grained records (such as lexical cooccurrence statistics). Others use coarser measures. The present paper considers the viability of models based exclusively on the use of fine-grained lexical records. The results of several studies are reviewed and the evidence suggests that, if they are to account for the data, experience-based parsers must draw upon records or representations that capture statistical regularities beyond the lexical level. This poses problems for several parsing models in the literature.
DOI：
10.1037/0278-7393.19.3.528
发表时间：
1993-05-01
影响因子：
2.6
作者：
TRUESWELL, JC;TANENHAUS, MK;KELLO, C
通讯作者：
KELLO, C
DOI：
10.1037/h0078817
发表时间：
1993-06-01
影响因子：
1.3
作者：
CLIFTON, C
通讯作者：
CLIFTON, C