Statistical learning of multiple speech streams: A challenge for monolingual infants
نویسندگان
چکیده
منابع مشابه
Flexible learning of multiple speech structures in bilingual infants.
Children acquire their native language according to a well-defined time frame. Surprisingly, although children raised in bilingual environments have to learn roughly twice as much about language as their monolingual peers, the speed of acquisition is comparable in monolinguals and bilinguals. Here, we show that preverbal 12-month-old bilingual infants have become more flexible at learning speec...
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Studies using artificial language streams indicate that infants and adults can use statistics to correctly segment words. However, most studies have utilized only a single input language. Given the prevalence of bilingualism, how is multiple language input segmented? One particular problem may occur if learners combine input across languages: the statistics of particular units that overlap diff...
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Event extraction systems typically take advantage of language and domain-specific knowledge bases, including patterns that are used to identify specific facts in text; techniques to acquire these patterns can be considered one of the most challenging issues. In this work, we propose a languageindependent and weakly-supervised algorithm to automatically discover linear patterns from texts. Our a...
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S tatistical learning has become the subject of some considerable debate within cognitive psychology (1, 2). The debate reached particular prominence with the advent of sophisticated computational models of such learning based on neurally inspired notions of spreading activation within highly distributed systems of interacting units, so-called neural networks (3). One important development in t...
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ژورنال
عنوان ژورنال: Developmental Science
سال: 2019
ISSN: 1363-755X,1467-7687
DOI: 10.1111/desc.12896