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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. Lang Cogn Process. 2008;23(4):583-608doi: 10.1080/01690960801920735.
Dell, G. S., Oppenheim, G. M., & Kittredge, A. K. (2008). Saying the right word at the right time: Syntagmatic and paradigmatic interference in sentence production. Language and cognitive processes, 23(4), 583-608. https://doi.org/10.1080/01690960801920735
Dell, Gary S, et al. "Saying the right word at the right time: Syntagmatic and paradigmatic interference in sentence production." Language and cognitive processes vol. 23,4 (2008): 583-608. doi: https://doi.org/10.1080/01690960801920735
Dell GS, Oppenheim GM, Kittredge AK. Saying the right word at the right time: Syntagmatic and paradigmatic interference in sentence production. Lang Cogn Process. 2008 Jun;23(4):583-608. doi: 10.1080/01690960801920735. PMID: 20622975; PMCID: PMC2901119.
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Lang Cogn Process. 2008 Jun;23(4):583-608. doi: 10.1080/01690960801920735.

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

Language and cognitive processes

Gary S Dell, Gary M Oppenheim, Audrey K Kittredge

Affiliations

  1. University of Illinois, Urbana-Champaign.

PMID: 20622975 PMCID: PMC2901119 DOI: 10.1080/01690960801920735

Abstract

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.

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