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Saying the right word at the right time: Syntagmatic and paradigmatic interference in sentence production. / Dell, G.S.; Oppenheim, G.M.; Kittredge, A.K.
In: Language and Cognitive Processes, Vol. 23, No. 4, 01.01.2008, p. 583-608.

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Dell GS, Oppenheim GM, Kittredge AK. Saying the right word at the right time: Syntagmatic and paradigmatic interference in sentence production. Language and Cognitive Processes. 2008 Jan 1;23(4):583-608. doi: 10.1080/01690960801920735

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Dell, G.S. ; Oppenheim, G.M. ; Kittredge, A.K. / Saying the right word at the right time: Syntagmatic and paradigmatic interference in sentence production. In: Language and Cognitive Processes. 2008 ; Vol. 23, No. 4. pp. 583-608.

RIS

TY - JOUR

T1 - Saying the right word at the right time: Syntagmatic and paradigmatic interference in sentence production

AU - Dell, G.S.

AU - Oppenheim, G.M.

AU - Kittredge, A.K.

PY - 2008/1/1

Y1 - 2008/1/1

N2 - Retrieving a word in a sentence requires speakers to overcome syntagmatic, as well as paradigmatic interference. When accessing cat in "The cat chased the string," not only are similar competitors such as dog and cap activated, but also other words in the planned sentence, such as chase and string. We hypothesize that both types of interference impact the same stage of lexical access, and review connectionist models of production that use an error-driven learning algorithm to overcome that interference. This learning algorithm creates a mechanism that limits syntagmatic interference, the syntactic "traffic cop," a configuration of excitatory and inhibitory connections from syntactic-sequential states to lexical units. We relate the models to word and sentence production data, from both normal and aphasic speakers.

AB - Retrieving a word in a sentence requires speakers to overcome syntagmatic, as well as paradigmatic interference. When accessing cat in "The cat chased the string," not only are similar competitors such as dog and cap activated, but also other words in the planned sentence, such as chase and string. We hypothesize that both types of interference impact the same stage of lexical access, and review connectionist models of production that use an error-driven learning algorithm to overcome that interference. This learning algorithm creates a mechanism that limits syntagmatic interference, the syntactic "traffic cop," a configuration of excitatory and inhibitory connections from syntactic-sequential states to lexical units. We relate the models to word and sentence production data, from both normal and aphasic speakers.

KW - LANGUAGE & LINGUISTICS

KW - PSYCHOLOGY

KW - EXPERIMENTAL

U2 - 10.1080/01690960801920735

DO - 10.1080/01690960801920735

M3 - Article

VL - 23

SP - 583

EP - 608

JO - Language and Cognitive Processes

JF - Language and Cognitive Processes

SN - 0169-0965

IS - 4

ER -