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- W2267456280 abstract "! is study aimed at investigating how Brazilian learners ofEnglish organize their knowledge about lexical stress of a speci c wordcategory at an early stage of L2 acquisition with the help of an unsuper-vised neural network, a self-organizing map (SOM), also called Kohonennetwork. ! e basic hypothesis tested was whether the parameterization ofthe speech signal from learner’s utterances through processing techniquessuch as Linear Predictive Coding (LPC), which consisted of the input ofthe network, would be e# ective in the classi cation of learners and theirutterances. ! e study consisted of an empirical part and a computationalone. ! e participants were beginner students aged between 18 and 25.Preliminary results indicate that the combination of LPC+SOM allowedthe creation of well-de ned category clusters, which is an important stepin data classi cation to aid language pro ciency level determination, andcomputer-assisted pronunciation teaching." @default.
- W2267456280 created "2016-06-24" @default.
- W2267456280 creator A5043491940 @default.
- W2267456280 date "2011-05-23" @default.
- W2267456280 modified "2023-09-26" @default.
- W2267456280 title "O USO DE REDES NEURAIS AUTO- ORGANIZÁVEIS NA VISUALIZAÇÃO DE FORMAÇÃO DE AGRUPAMENTOS A PARTIR DO CONHECIMENTO ACENTUAL DE APRENDIZES BRASILEIROS DE INGLÊS" @default.
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- W2267456280 doi "https://doi.org/10.22456/2238-8915.28839" @default.
- W2267456280 hasPublicationYear "2011" @default.
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