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Assessing low-level cognitive processes of word recognition
A fundamental skill required for vocabulary development is word recognition ability. According to Perfetti (1985), word recognition ability relies on low-level cognitive processing skill to be automatic and efficient in order for cognitive resources to ...
Michael Holsworth
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Previous findings in the literature point to the influence that speech perception has on word recognition. However, which specific aspects of the first (L1) and second language (L2) mapping play the most important role is still not fully understood. This
Maria Teresa Martinez-Garcia
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The role of letter recognition in word recognition [PDF]
In a paradigm that avoids methodological problems of earlier studies, evidence was gathered addressed to the question of whether we read letter by letter. If word recognition involves letter recognition, then the difficulty of recognizing a word should vary with the difficulty of recognizing its letters.
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Introduction The right fusiform face area (FFA) is important for face recognition, whereas the left visual word fusiform area (VWFA) is critical for word processing.
Naomi Takamiya +6 more
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Spoken-Word Recognition: The Access to Embedded Words
Two cross-modal priming experiments investigated whether the representation of either an initial- or a final-embedded word may be activated when the longer carrier word is auditorily presented. Visual targets were semantically related either to the embedded word or to the carrier word or they were unrelated to the primes. A priming effect was found for
Isel, F., Bacri, N.
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Recognition of Chinese Lexical Entailment Relation Based on Word Vector [PDF]
Automatic recognition of English lexical entailment relation has many researches,and many recognition models are presented.But study on Chines lexical entailment is not sufficient while there have many studies on English lexical entailment from different
ZHANG Zhichang,ZHOU Huixia,YAO Dongren,LU Xiaoyong
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Automatic speech recognition is essential for establishing natural communication with a human–computer interface. Speech recognition accuracy strongly depends on the complexity of language.
Andrej Zgank
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Isolated word recognition using neural networks
This paper presents the speech recognition system, designed for recognition of 50 isolated Lithuanian words. The system is based on feedforward neural networks trained by error backpropagation algorithm.
Mark Filipovič
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Intact word processing in developmental prosopagnosia
A wealth of evidence from behavioural, neuropsychological and neuroimaging research supports the view that face recognition is reliant upon a domain-specific network that does not process words.
Edwin J. Burns +5 more
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Studies of spoken word recognition have reliably shown that both younger and older adults’ recognition of acoustically degraded words is facilitated by the presence of a linguistic context.
Nicolai D. Ayasse, Arthur Wingfield
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