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Record W2113934248 · doi:10.1017/s0267190501000095

Bilingual first language acquisition: exploring the limits of the language faculty

2001· article· en· W2113934248 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnual Review of Applied Linguistics · 2001
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsMcGill University
Fundersnot available
KeywordsNeuroscience of multilingualismDevelopmental linguisticsSecond-language acquisitionLinguisticsComputer sciencePsychologyLanguage acquisitionRule-based machine translationComprehension approachArtificial intelligenceNatural language

Abstract

fetched live from OpenAlex

Most general theories of language acquisition are based on studies of children who acquire one language. A general theory of language acquisition must ultimately accommodate the facts about children who acquire two languages simultaneously during infancy. This chapter reviews current research in three domains of bilingual acquisition: pragmatic features of bilingual code-mixing, grammatical constraints on child bilingual code-mixing, and bilingual syntactic development. It examines the implications of findings from these domains for our understanding of the limits of the mental faculty to acquire language. Findings indicate that infants possess the requisite neuro-cognitive capacity to differentially represent and use two languages simultaneously from the one-word stage onward, and probably earlier. Detailed analyses of the syntactic organization of bilingual child language indicates, moreover, that it conforms to the target systems and, thus, resembles that of children acquiring the same languages monolingually, for the most part. At the same time, bilingual children acquire the distinctive capacity to coordinate their two languages in grammatically constrained ways and in conformity with the target grammars during online production. In short, current evidence attests to the bilingual capacity of the human mind and refutes earlier conceptualizations which viewed bilingualism and bilingual acquisition as burdensome and potentially disruptive to development.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.813
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

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

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 head0.038
GPT teacher head0.338
Teacher spread0.300 · 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