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Record W7052222575

Second Language Acquisition of Stress Patterns: A Study on the Effects of L1 Tamil Transfer on L2 English

2024· other· en· W7052222575 on OpenAlexaff

Bibliographic record

VenueYork University Digital Library (York University) · 2024
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsYork University
Fundersnot available
KeywordsSecond-language acquisitionTamilStress (linguistics)Task (project management)GrammarFirst languageSyllableTransfer of training
DOInot available

Abstract

fetched live from OpenAlex

Linguistic studies have observed that during second language acquisition (SLA), L2 learners tend to produce non-target like structures, resembling grammars/patterns of the learner’s L1. Schwartz and Sprouse (1996) have accounted for these observations by proposing the Full Transfer Full Access Hypothesis. This hypothesis assumes that the initial state of L2 acquisition is the L1 grammar (Full Transfer). When L2 input data cannot be assigned to L1 representations, this will force re-structuring and L2 learners will have access to the same properties of Universal Grammar that were available to them during L1 acquisition (Full Access) and therefore target-like acquisition should be possible.\n\nThis study looked at the L2 acquisition of English stress patterns by L1 Tamil speakers. While English stress patterns can be predicted to some extent by rules that rely on syllable weight, Tamil has fixed stress, occurring in word-initial position. This study examined whether L1 Tamil transfer effects are observed during the acquisition of stress patterns in English and whether these effects weakened as proficiency and exposure to the L2 input data increased. The study consisted of three tasks. In Task 1, participants were asked to read aloud a list of real words in English, while in Task 2, the list consisted of pseudowords. For Task 3, participants were given two pronunciations of pseudowords, with either penultimate and antepenultimate stress, and asked to choose their preferred stress placement. All target words were tri-syllabic. The study was piloted with 13 native English speakers (control group) to account for any variability across the target words. The study then tested 14 L1 Tamil L2 English speakers, with differing levels of English proficiency – beginner, intermediate and advanced. When the results of the L2 learners were compared to the native speakers, an effect of L1 Tamil transfer was found, as L2 learners predicted stress as expected for APU words (with stress on the word-initial syllable) but not for PU words (where the second syllable was stressed) and therefore preferred word initial stress on all words. Furthermore, results showed that within the L2 groups, there was an effect of proficiency – advanced L2 learners performed most target-like, followed by intermediate and beginner speakers. These results were in line with the Full Transfer Full Access Hypothesis, showing that while effects of L1 transfer are stronger during earlier stages of proficiency, this effect weakens, and target-like performance is possible with increased proficiency and exposure to the L2 input.

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)0.004
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.170
Teacher spread0.165 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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