Sequence Encoders Enable Large‐Scale Lexical Modeling: Reply to Bowers and Davis (2009)

Sibley, Kello, Plaut, and Elman (2008) proposed the sequence encoder as a model that learns fixed‐width distributed representations of variable‐length sequences. In doing so, the sequence encoder overcomes problems that have restricted models of word reading and recognition to processing only monosy...

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Veröffentlicht in:	Cognitive science 2009-09, Vol.33 (7), p.1187-1191
Hauptverfasser:	Sibley, Daragh E., Kello, Christopher T., Plaut, David C., Elman, Jeffrey L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Fundamental and applied biological sciences. Psychology Information processing Language Large‐scale modeling Orthography Phonetics Phonology Production and perception of written language Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Recognition Sequence encoder Wordforms
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