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- W3038548860 abstract "We propose a simulation model of early development for language competence. It is a model of phonemic imprinting that describes the process of mapping audio stimuli into classes of elementary units of a language, taking into account the influence of social factors. The supervised machine-learning algorithm used in the model was developed using the features of speech addressed to children. This model will allow us to explore the features of phonetic perception, the cognitive mechanisms that underlie language development, highlight the main factors affecting the duration of the period of plasticity. On that basis we can build perceptual maps, create diagnostic tools to describe the sensitive period, which will facilitate the study of the stages of its opening and closing. The model can also be used to create speech recognition systems that are resistant to a variety of accents and effective when used in noisy environment." @default.
- W3038548860 created "2020-07-10" @default.
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- W3038548860 date "2020-12-09" @default.
- W3038548860 modified "2023-09-23" @default.
- W3038548860 title "Multiagent Model of Perceptual Space Formation in the Process of Mastering Linguistic Competence" @default.
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- W3038548860 doi "https://doi.org/10.1007/978-3-030-65596-9_39" @default.
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