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首页> 外文期刊>European Journal of Cognitive Psychology >Rules versus statistics in reading aloud: New evidence on an old debate
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Rules versus statistics in reading aloud: New evidence on an old debate

机译：大声朗读中的规则与统计：旧辩论的新证据

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Nonword reading performance, that is, the ability to generate plausible pronunciations to novel items, has probably been the hardest test case for computational models of reading aloud. This is an area where rule-based models, such as the Dual-Route Cascaded (DRC) model, typically outperformed connectionist learning models. However, what is the evidence that people apply rules when reading nonwords? This was investigated in German. Nonwords were created that allowed us to test whether people apply an abstract rule to determine vowel length or whether they would be sensitive to the statistical distribution of vowel length in the mental lexicon. The human data showed a great amount of variability in nonword pronunciations. Simulations of these nonwords, where the DRC was contrasted with a fully implemented and freely available German version of the connectionist dual process model (German_CDP+), a model that learns the statistical mapping between spelling and sound, showed that CDP+ provided a better account of the data than the DRC. These results support the view that rule based models may simply approximate patterns of language use rather than provide an accurate description of the underlying cognitive machinery.View full textDownload full textKeywordsComputational modelling, Connectionism, German, Reading Aloud, RulesRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/09541440902978365
机译：非单词阅读性能，即为新颖项目生成合理发音的能力，可能已经成为朗读计算模型最困难的测试案例。在这个领域中，基于规则的模型（例如，双路由级联（DRC）模型）通常胜过连接主义学习模型。但是，有什么证据表明人们在阅读非单词时会应用规则？这是用德语进行调查的。创建了非单词，使我们能够测试人们是否应用抽象规则来确定元音长度，或者它们是否会对心理词典中元音长度的统计分布敏感。人类数据显示出非单词发音的巨大差异。在对这些非单词进行的仿真中，将DRC与完全实现并免费提供的德语版本的连接主义双过程模型（German_CDP +）进行了对比，该模型学习了拼写和声音之间的统计映射，表明CDP +提供了更好的解释数据比DRC大。这些结果支持这样一种观点，即基于规则的模型可能只是近似地使用语言的模式，而不是提供对潜在认知机制的准确描述。查看全文下载全文关键字计算建模，连接主义，德语，大声朗读，RulesRelated var addthis_config = {ui_cobrand：“泰勒和弗朗西斯在线”，services_compact：“ citeulike，netvibes，twitter，technorati，delicious，linkedin，facebook，stumbleupon，digg，google，更多”，发布号：“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/09541440902978365

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