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13,188
A distributed, developmental model of word recognition and naming
- PSYCHOLOGICAL REVIEW
, 1989
"... A parallel distributed processing model of visual word recognition and pronunciation is described. The model consists of sets of orthographic and phonological units and an interlevel of hidden units. Weights on connections between units were modified during a training phase using the back-propagatio ..."
Abstract
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Cited by 706 (49 self)
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A parallel distributed processing model of visual word recognition and pronunciation is described. The model consists of sets of orthographic and phonological units and an interlevel of hidden units. Weights on connections between units were modified during a training phase using the back
Dynamic programming algorithm optimization for spoken word recognition
- IEEE TRANSACTIONS ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
, 1978
"... This paper reports on an optimum dynamic programming (DP) based time-normalization algorithm for spoken word recognition. First, a general principle of time-normalization is given using timewarping function. Then, two time-normalized distance definitions, ded symmetric and asymmetric forms, are der ..."
Abstract
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Cited by 788 (3 self)
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This paper reports on an optimum dynamic programming (DP) based time-normalization algorithm for spoken word recognition. First, a general principle of time-normalization is given using timewarping function. Then, two time-normalized distance definitions, ded symmetric and asymmetric forms
Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences
- ACOUSTICS, SPEECH AND SIGNAL PROCESSING, IEEE TRANSACTIONS ON
, 1980
"... Several parametric representations of the acoustic signal were compared as to word recognition performance in a syllable-oriented continuous speech recognition system. The vocabulary in-cluded many phonetically similar monosyllabic words, therefore the emphasis was on ability to retain phonetically ..."
Abstract
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Cited by 1120 (2 self)
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Several parametric representations of the acoustic signal were compared as to word recognition performance in a syllable-oriented continuous speech recognition system. The vocabulary in-cluded many phonetically similar monosyllabic words, therefore the emphasis was on ability to retain
WORD RECOGNITION
, 1968
"... A 2-year continuation of one of the 27 U. S. Office of Education First Grade Reading Studies is reported. Students in the linguistics approach were initially taught to read using the experimental edition of "A Basic Reading Series Developed upon Linguistic Principles " by Charles C. Fries ..."
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process. At the end of grade 2, students in the basal reader treatment showed significantly superior achievement in word study skills, spelling, and oral reading accuracy. At the end of grade 3, students in the linguistic group showed superiorperformance in the rate of oral reading and number of words
Word Recognition
"... This article discusses Japanese students' difficulties in reading English, overviews some of the problems of college English textbooks, presents the results of research on the subject, and discusses characteristics of measures of readability. Teaching methods that have proven effective with Jap ..."
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with Japanese students and activities for engaging students in active reading are also discussed. Problems Japanese students experience with reading English include giving equal weight to each word, failure to understand the connections among sentences in a paragraph and difficulty in summarizing passages
Word recognition
, 2010
"... available at www.sciencedirect.com www.elsevier.com/locate/brainres ..."
Word recognition and Learning based on . . .
, 2007
"... A word recognition architecture based on a network of neural associative memories and hidden Markov models has been developed. The input stream, composed of subword-units like wordinternal triphones consisting of diphones and triphones, is provided to the network of neural associative memories by h ..."
Abstract
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A word recognition architecture based on a network of neural associative memories and hidden Markov models has been developed. The input stream, composed of subword-units like wordinternal triphones consisting of diphones and triphones, is provided to the network of neural associative memories
HMM Word Recognition Engine
- In Proceedings Int. Conf. on Document Analysis and Recognition
, 1997
"... We describe a Hidden Markov Model (HMM) based word recognition engine currently being developed to be integrated with the CENPARMI Bank Cheque Processing System. The various modules are described in detail, and preliminary results are compared with our previous global feature recognition scheme. The ..."
Abstract
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Cited by 19 (0 self)
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We describe a Hidden Markov Model (HMM) based word recognition engine currently being developed to be integrated with the CENPARMI Bank Cheque Processing System. The various modules are described in detail, and preliminary results are compared with our previous global feature recognition scheme
Models of word recognition
- Cognitive Psychology
, 1979
"... their help and encouragement during the rewrite process; Peter Eimas, Richard Millward, and especially Kathryn T. Spoehr for being members of her thesis committee, and Bryan E. Shepp for chairing her committee and being a wonderful advisor in general. Major hypotheses about the processes involved in ..."
Abstract
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Cited by 31 (1 self)
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in word recognition are reviewed and then assessed through four experiments. The purpose of the first experiment was to examine some basic aspects of the processing of words, pseudowords, and nonwords, and beyond that, to discover basic differences in their processing that might underlie the word
Results 1 - 10
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13,188
