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NAMING AND LANGUAGE PRODUCTION
Continuum, 2010Naming and sentence production are complex tasks, each requiring a number of cognitive processes and representations, which can be selectively impaired by focal brain damage, such as stroke, or by neurodegenerative disease. The types of errors made by the patient and the pattern of performance across tasks can provide clues regarding the location of ...
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Speech Production and Language Statistics
Nature, 1957THE purpose of the experiment reported here was to examine the function of hesitation pauses in speech. Pauses were conceived of as serving the selection processes which direct the course of verbal sequences, and as involving acts of choice. They were expected to occur where linguistic solutions fitting the speech intentions are not readily available ...
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Characterizing language production across modalities
Cognitive NeuropsychologyABSTRACTThis study investigates factors influencing lexical access in language production across modalities (signed and oral). Data from deaf and hearing signers were reanalyzed (Baus and Costa, 2015, On the temporal dynamics of sign production: An ERP study in Catalan Sign Language (LSC). Brain Research, 1609(1), 40-53.
Marc, Gimeno-MartÃnez, Cristina, Baus
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First Language Use in Second Language Production
Applied Linguistics, 1994Cet article relate les resultats d'une etude menee pour fournir des donnees pertinentes sur le developpement du modele de production de la parole chez des ...
Poulisse, W.M., Bongaerts, T.
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Wordshape errors in language production
Cognition, 1990Errors in natural speech that crucially involve the shape of the target word, i.e. interact in some way with the number of consonants and vowels in the word and their relative positioning, are examined in detail. It is shown that context highly constrains the rate of such errors.
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Language Production and Interpretation: Linguistics meets Cognition
2014An utterance is normally produced by a speaker in linear time and the hearer normally correctly identifies the speaker intention in linear time and incrementally. This is hard to understand in a standard competence grammar since languages are highly ambiguous and context-free parsing is not linear.
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