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Vowel Harmony in Language Acquisition

2024· book-chapter· en· W4403633905 on OpenAlexaff
Heather Goad, Avery Ozburn

Bibliographic record

VenueOxford University Press eBooks · 2024
Typebook-chapter
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of TorontoMcGill University
Fundersnot available
KeywordsVowel harmonyLinguisticsVowelHarmony (color)Computer scienceCommunicationSpeech recognitionPsychologyArtPhilosophyVisual arts

Abstract

fetched live from OpenAlex

Abstract This chapter examines the acquisition of vowel harmony (VH) by first- and second-language learners as well as the use of VH as a cue for word segmentation by pre-verbal infants and children at early stages of word production. Across studies, it is found that VH is acquired early. This holds independent of the features involved (back, round, height, or advanced tongue root), the nature of the trigger (root or stressed vowel), whether the language is agglutinative or not, and whether harmony is categorical or variable. Most errors involve overapplication, indicating that VH is productive for learners; underapplication errors are observed for first-language learners, but are largely due to incomplete acquisition of the vowel system. Although VH is articulatorily advantageous, spontaneous emergence of harmony among first-language learners is surprisingly rare, in contrast to total vowel agreement, which is commonly attested for learners of languages both with and without VH.

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)0.000
metaresearch head score (Gemma)0.000
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: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.032
GPT teacher head0.280
Teacher spread0.249 · 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

Explore more

Same venueOxford University Press eBooks→Same topicPhonetics and Phonology Research→French-language works237,207→