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Record W4312403130 · doi:10.1590/1678-460x202258879

Infant-directed speech in Brazilian Portuguese: The prosody of questions

2022· article· en· W4312403130 on OpenAlexaff
Cristina Name, Juan Manuel Sosa

Bibliographic record

VenueDELTA Documentação de Estudos em Lingüística Teórica e Aplicada · 2022
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsSimon Fraser University
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsProsodyRegister (sociolinguistics)LinguisticsSyllableBrazilian PortuguesePsychologyEuropean PortugueseFocus (optics)Duration (music)PortugueseInterrogative wordHistoryArtPhysicsLiterature

Abstract

fetched live from OpenAlex

ABSTRACT Infant-directed speech (IDS) is the register commonly used in infant-adult interactions in many linguistic communities, and presents a number of special lexical, syntactic and prosodic particularities when compared to adult speech, such as words with syllable reduplication, high question rate and exaggerated prosody. In this study, we focus on interrogatives and their prosodic properties as the object of investigation. Data analysis of interactions of ten Brazilian Portuguese-acquiring infants aged 4 to 12 months and their caregivers, revealed that questions corresponded to 33% of the total utterances produced and are emphasized mainly by marked pitch (raised pitch range and expanded pitch span), as well as increased duration. Moreover, the pitch contours of Wh and Yes/No questions followed their respective patterns observed in adult speech. These results are compatible with those found in the literature and indicate that, in general, the IDS used in Brazilian Portuguese has similar characteristics to this register in other languages.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.339
Teacher spread0.319 · 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 teacher head, not a consensus.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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