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Record W3180693707 · doi:10.1558/jmbs.15685

The production of L2 Italian voiced palatal lateral and voiced palatal nasal by English-speaking learners

2021· article· en· W3180693707 on OpenAlexaff
Giulia Cortiana, Yasaman Rafat

Bibliographic record

VenueJournal of Monolingual and Bilingual Speech · 2021
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsWestern University
Fundersnot available
KeywordsTask (project management)First languageLinguisticsSecond languageSpeech productionSequence (biology)Reading (process)Duration (music)PsychologyComputer scienceSpeech recognitionAcousticsEngineering

Abstract

fetched live from OpenAlex

This study examines the L2 production of the Italian (e.g. ‹tovaglia›, ‘tablecloth’) and (e.g. ‹agnello›, ‘lamb’) by English-speaking learners. Four beginner English-native speakers, one advanced English-native speakers and two Italian-native speakers completed a picture-naming task, a reading task and a language background questionnaire. An auditory and an acoustic analysis were conducted, where F1, F2, F3 and F4, and duration were measured. The results showed that both sounds are difficult for second language learners to acquire in a native-like manner. Moreover, each of these complex sounds may be produced as a sequence of two existing first languages sounds. Our findings have implications for L2 models of speech learning. We propose that a (marked) L2 sound may be produced as a sequence of existing L1 sounds.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.569

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.312
Teacher spread0.294 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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