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A child speech corpus is a speech corpus documenting first-language language acquisition. Such databases are used in the development of computer-assisted language learning systems and the characterization of children's speech at difference ages. [1] Children's speech varies not only by language, but also by region within a language.
In the case of prelingually deaf children with cochlear implants, a signed language, like American Sign Language would be an accessible language for them to learn to help support the use of the cochlear implant as they learn a spoken language as their L2. Without a solid, accessible first language, these children run the risk of language ...
Whole language is a philosophy of reading and a discredited [8] educational method originally developed for teaching literacy in English to young children. The method became a major model for education in the United States, Canada, New Zealand, and the UK in the 1980s and 1990s, [7] despite there being no scientific support for the method's effectiveness. [9]
Language development is thought to proceed by ordinary processes of learning in which children acquire the forms, meanings, and uses of words and utterances from the linguistic input. [7] Children often begin reproducing the words that they are repetitively exposed to. [ 8 ]
These theories conceive of second-language acquisition as being learned in the same way as any other skill, such as learning to drive a car or play the piano. That is, they see practice as the key ingredient of language acquisition. The most well-known of these theories is based on John Anderson's adaptive control of thought model. [1]
Statistical learning is the ability for humans and other animals to extract statistical regularities from the world around them to learn about the environment. Although statistical learning is now thought to be a generalized learning mechanism, the phenomenon was first identified in human infant language acquisition.
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