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Record W2030598027 · doi:10.1075/lab.1.4.02sch

Inhibitory control processes and lexical access in trilingual speech production

2011· article· en· W2030598027 on OpenAlexaff
John W. Schwieter, Gretchen Sunderman

Bibliographic record

VenueLinguistic Approaches to Bilingualism · 2011
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsRobustness (evolution)Computer scienceInhibitory controlLexical accessNatural language processingArtificial intelligenceSpeech recognitionLinguisticsPsychologyCognitionBiology

Abstract

fetched live from OpenAlex

This study tests whether or not trilingual language learners rely on inhibitory control (IC) when accessing words during speech production. In particular, it investigates the extent to which second language (L2) and third language (L3) lexical robustness modulates such reliance. English language learners of French and Spanish participated in a picture-naming task containing language switches in all three of their languages. Analyses were conducted on the switching performance of the three languages followed by an exploration of how these effects were modulated by L2 and L3 lexical robustness. The results support reliance on IC for all three languages. Furthermore, the strength of L2 lexical robustness affected performance in all languages whereas the strength of L3 lexical robustness only affected L3 performance. The results suggest that in the context of having to switch between three languages within a single experiment, trilingual speakers rely on IC.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.267
GPT teacher head0.309
Teacher spread0.042 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2011
Admission routes1
Has abstractyes

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