Finding Words and Rules in a Speech Stream
Finding Words and Rules in a Speech Stream
复制标题
在语音流中查找单词和规则
DOI：
--
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
L. Bonatti
中科院分区：
文献类型：
--
作者：
J. M. Toro;M. Nespor;J. Mehler;L. Bonatti
我们提出辅音主要提供有关词汇的线索，而元音则提供有关语法的线索。在一项支持这一假设的研究中，我们发现，当从人工连续流中分割单词时，参与者计算辅音的统计关系，但不是元音。在这里报道的研究中，我们测试了对称假设，即当参与者听语音流中的单词时，他们倾向于利用元音之间的关系来提取概括，但往往忽略辅音之间的相同关系。在我们的数据流中，参与者可以在一层中基于过渡概率来分割单词，并且可以在另一层中提取结构规律性。参与者使用辅音提取单词，但元音提取结构概括。他们无法使用辅音提取相同的概括，即使在分词变得更容易和概括变得更简单的情况下。我们的研究结果表明，不同的信号驱动的计算总理词汇和语法处理。
We have proposed that consonants give cues primarily about the lexicon, whereas vowels carry cues about syntax. In a study supporting this hypothesis, we showed that when segmenting words from an artificial continuous stream, participants compute statistical relations over consonants, but not over vowels. In the study reported here, we tested the symmetrical hypothesis that when participants listen to words in a speech stream, they tend to exploit relations among vowels to extract generalizations, but tend to disregard the same relations among consonants. In our streams, participants could segment words on the basis of transitional probabilities in one tier and could extract a structural regularity in the other tier. Participants used consonants to extract words, but vowels to extract a structural generalization. They were unable to extract the same generalization using consonants, even when word segmentation was facilitated and the generalization made simpler. Our results suggest that different signal-driven computations prime lexical and grammatical processing.