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The past tense inflection project (PTIP): speeded past tense inflections, imageability ratings, and past tense consistency measures for 2,200 verbs

机译:过去时变形实验(PTIP):加快了过去时变形,可成像性评级和过去时一致性测度,适用于2,200个动词

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摘要

The processes involved in past tense verb generation have been central to models of inflectional morphology. However, the empirical support for such models has often been based on studies of accuracy in past tense verb formation on a relatively small set of items. We present the first large-scale study of past tense inflection (the Past Tense Inflection Project, or PTIP) that affords response time, accuracy, and error analyses in the generation of the past tense form from the present tense form for over 2,000 verbs. In addition to standard lexical variables (such as word frequency, length, and orthographic and phonological neighborhood), we have also developed new measures of past tense neighborhood consistency and verb imageability for these stimuli, and via regression analyses we demonstrate the utility of these new measures in predicting past tense verb generation. The PTIP can be used to further evaluate existing models, to provide well controlled stimuli for new studies, and to uncover novel theoretical principles in past tense morphology.
机译:过去时态动词生成所涉及的过程一直是屈折形态学模型的核心。但是,对此类模型的经验支持通常基于对相对较小的一组项目的过去式动词形成的准确性的研究。我们将对过去式的时态变化进行首次大规模研究(过去时态的变形项目,即PTIP),该研究在从过去时态形式生成2000个动词时提供过去时态形式的响应时间,准确性和错误分析。除了标准词汇变量(例如单词频率,长度,正字法和语音邻域)外,我们还开发了针对这些刺激的过去时邻域一致性和动词可成像性的新度量,并且通过回归分析,我们证明了这些新刺激的效用预测过去时动词生成的方法。 PTIP可用于进一步评估现有模型,为新研究提供良好控制的刺激,并揭示过去时态的新颖理论原理。

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