When statistics collide: The use of transitional and phonotactic probability cues to word boundaries.
When statistics collide: The use of transitional and phonotactic probability cues to word boundaries.
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DOI：
10.3758/s13421-021-01163-4
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发表时间：
2021-10
影响因子：
2.4
通讯作者：
Hay JF
中科院分区：
文献类型：
--
作者：
Dal Ben R;Souza DH;Hay JF
语言输入的统计规律，例如转移概率和语音概率，已被证明可以促进语音分割。然而，目前尚不清楚过渡概率和微妙的趋音概率的组合是否或如何影响分割。本研究对此类综合统计数据的影响进行了细致的调查。成人 (N = 81) 在两种条件之一下进行测试。在锚条件下，他们听到了连续的单词流，语音概率差异很小。在统一条件下，所有单词都具有相当的语音概率。在这两种情况下，单词的转移概率都比部分单词更强。只有来自锚定条件的参与者在测试中偏好单词，这表明过渡概率和微妙的语音概率的组合可能有助于语音分割。我们讨论了我们的研究结果的方法论含义，这表明在研究统计语音分割时，即使是很小的语音变异也应该被考虑在内。
Statistical regularities in linguistic input, such as transitional probability and phonotactic probability, have been shown to promote speech segmentation. It remains unclear, however, whether or how the combination of transitional probabilities and subtle phonotactic probabilities influence segmentation. The present study provides a fine-grained investigation of the effects of such combined statistics. Adults (N = 81) were tested in one of two conditions. In the Anchor condition, they heard a continuous stream of words with small differences in phonotactic probabilities. In the Uniform condition, all words had comparable phonotactic probabilities. In both conditions, transitional probability was stronger in words than in part-words. Only participants from the Anchor condition preferred words at test, indicating that the combination of transitional probabilities and subtle phonotactic probabilities may facilitate speech segmentation. We discuss the methodological implications of our findings, which demonstrate that even small phonotactic variations should be accounted for when investigating statistical speech segmentation.
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