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The recognition of reduced word forms

by Mirjam Ernestus, Harald Baayen, Rob Schreuder - Brain and Language , 2002
"... This article addresses the recognition of reduced word forms, which are frequent in casual speech. We describe two experiments on Dutch showing that listeners only recognize highly reduced forms well when these forms are presented in their full context and that the probability that a listener recogn ..."
Abstract - Cited by 39 (11 self) - Add to MetaCart
This article addresses the recognition of reduced word forms, which are frequent in casual speech. We describe two experiments on Dutch showing that listeners only recognize highly reduced forms well when these forms are presented in their full context and that the probability that a listener

The WEAVER model of word-form encoding in speech production

by Ardi Roelofs - Cognition , 1997
"... Lexical access in speaking consists of two major steps: lemma retrieval and word-form ..."
Abstract - Cited by 109 (26 self) - Add to MetaCart
Lexical access in speaking consists of two major steps: lemma retrieval and word-form

OPERATOR NORMS OF WORDS FORMED FROM

by Stephen W. Drury , 2009
"... Operator norms of words formed from positive-definite matrices ..."
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Operator norms of words formed from positive-definite matrices

Dynamic programming algorithm optimization for spoken word recognition

by Hiroaki Sakoe, Seibi Chiba - 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 - Cited by 788 (3 self) - Add to MetaCart
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

assimilated word forms

by Holger Mitterer, Valéria Csépe, Leo Blomert
"... We investigated how spoken words are recognized when they have been altered by phonological assimilation. Previous research has shown that there is a process of perceptual compensation for phonological assimilations. Three recently formulated proposals regarding the mechanisms for compensation for a ..."
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We investigated how spoken words are recognized when they have been altered by phonological assimilation. Previous research has shown that there is a process of perceptual compensation for phonological assimilations. Three recently formulated proposals regarding the mechanisms for compensation

On the origin of internal structure of word forms.

by Peter F Macneilage , Barbara L Davis - In L. Robertons & N. Sagiv (Eds.), Synaesthesia: Perspectives from cognitive neuroscience , 2000
"... This study shows that a corpus of proto-word forms shares four sequential sound patterns with words of modern languages and the first words of infants. Three of the patterns involve intrasyllabic consonant-vowel (CV) co-occurrence: labial (lip) consonants with central vowels, coronal (tongue front) ..."
Abstract - Cited by 49 (4 self) - Add to MetaCart
This study shows that a corpus of proto-word forms shares four sequential sound patterns with words of modern languages and the first words of infants. Three of the patterns involve intrasyllabic consonant-vowel (CV) co-occurrence: labial (lip) consonants with central vowels, coronal (tongue front

Understanding Normal and Impaired Word Reading: Computational Principles in Quasi-Regular Domains

by David C. Plaut , James L. McClelland, Mark S. Seidenberg, Karalyn Patterson - PSYCHOLOGICAL REVIEW , 1996
"... We develop a connectionist approach to processing in quasi-regular domains, as exemplified by English word reading. A consideration of the shortcomings of a previous implementation (Seidenberg & McClelland, 1989, Psych. Rev.) in reading nonwords leads to the development of orthographic and phono ..."
Abstract - Cited by 613 (94 self) - Add to MetaCart
and phonological representations that capture better the relevant structure among the written and spoken forms of words. In a number of simulation experiments, networks using the new representations learn to read both regular and exception words, including low-frequency exception words, and yet are still able

From Word Form Surfaces to Communication

by Roland Hausser, Universität Erlangen-nürnberg, Abteilung Computerlinguistik (clue
"... The starting point of this paper is the external surface of a word form, for example the agent-external acoustic perturbations constituting a language sign in speech or the dots on paper in the case of written language. The external surfaces are modality-dependent tokens which the hearer recognizes ..."
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The starting point of this paper is the external surface of a word form, for example the agent-external acoustic perturbations constituting a language sign in speech or the dots on paper in the case of written language. The external surfaces are modality-dependent tokens which the hearer recognizes

Improved Reconstruction of Protolanguage Word Forms

by Alexandre Bouchard-Côté, et al.
"... We present an unsupervised approach to reconstructing ancient word forms. The present work addresses three limitations of previous work. First, previous work focused on faithfulness features, which model changes between successive languages. We add markedness features, which model well-formedness wi ..."
Abstract - Cited by 4 (2 self) - Add to MetaCart
We present an unsupervised approach to reconstructing ancient word forms. The present work addresses three limitations of previous work. First, previous work focused on faithfulness features, which model changes between successive languages. We add markedness features, which model well

Learning representations of orthographic word forms

by Daragh E. Sibley, Christopher T. Kello - In the Proceedings of the 28th Annual Conference of the Cognitive Science Society , 2006
"... Presented is an extension of the simple recurrent network (SRN), termed the sequence encoder, which learns fixed-width representations of variable-length sequences. This architecture was used to learn orthographic representations for nearly 75,000 English words, of which nearly 69,000 were multisyll ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
multisyllabic. Analyses showed that sequence encoder representations are shaped by the dependencies among letters in English word forms that reflect orthographic structure. The model was used to predict participant ratings of the orthographic legality of pseudowords, and results showed that the model accounted
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