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Computational Models of Language Development

Human language development has been studied for centuries, but using computational modeling for such studies is a relatively recent trend. However, computational approaches to language learning have become increasingly popular, mainly due to advances in developing machine learning techniques and the availability of large collections of experimental and observational data on child language learning and child-adult interaction, such as the CHILDES database. Many of the existing computational models attempt to study the complex task of learning a language under cognitive plausibility criteria (such as memory and processing limitations that humans face) and to explain the developmental stages observed in children, especially in the light of the nativist claim (known as the learnability problem) that language is too complex to be learned without innate linguistic knowledge. ...

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