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When children learn their native language, they have to deal with a confusing array of dependencies between various elements in an utterance. The dependent elements may be adjacent to one another or s...
Statistical learning plays a key role in language processing, e.g., for speech segmentation. Older adults have been reported to show less statistical learning on the basis of visual input than y...
Evidence of children’s sensitivity to statistical features of their input in language acquisition is often used to argue against learning mechanisms driven by innate knowledge. At the same time, evi...
Many explanations of the difficulties associated with interpreting object relative clauses appeal to the demands that object relatives make on working memory. MacDonald and Christiansen [MacDonald,...
When children learn their native language, they have to deal with a confusing array of dependencies between various elements in an utterance. Some of these dependencies may be adjacent to one an...
Fundamental Frequency Modeling for Corpus-Based Speech Synthesis Based on a Statistical Learning Technique.
F0 Modeling with Multi-Layer Additive Modeling Based on a Statistical Learning Technique.
Fundamental Frequency Modeling for Speech Synthesis Based on a Statistical Learning Technique.
This paper proposes a novel two-layer approach to fundamental frequency modeling for concatenative speech synthesis based on a statistical learning technique called additive models. We define an addit...
The role of statistical learning in early L2 grammars:a generative perspective。

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