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Record W303230980 · doi:10.7282/t3hd7tgr

Consonant cluster phonotactics: a perceptual approach

2000· dissertation· en· W303230980 on OpenAlexaboutno aff
Marie‐Hélène Côté

Bibliographic record

VenueRutgers University Community Repository (Rutgers University) · 2000
Typedissertation
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
Fundersnot available
KeywordsPhonotacticsConsonant clusterPerceptionCluster (spacecraft)Computer scienceCognitive psychologyPsychologyArtificial intelligenceConsonantNatural language processingSpeech recognitionLinguisticsPhonologyPhilosophyProgramming languageNeuroscience

Abstract

fetched live from OpenAlex

This dissertation deals with deletion and epenthesis processes conditioned or constrained by the consonantal environment, essentially consonant deletion, vowel epenthesis, and vowel deletion. It is argued that the standard generative approach to these processes, which relies on the syllable and the principle of prosodic licensing, is empirically inadequate, and an alternative sequential approach based on perceptual factors is developed. It is proposed that the likelihood that a consonant deletes, triggers epenthesis, or blocks vowel deletion correlates with the quality and quantity of the auditory cues associated to it in a given context. The approach is implemented in Optimality Theory and adopts more specifically the ‘Licensing by cue’ framework developed by Steriade (1999a,c). New empirical gneralizations concerning deletion and epenthesis processes are uncovered, in particular 1) the fact that stops are more likely than other consonants to delete, trigger epenthesis, or block deletion; 2) the role of syntagmatic contrast in deletion and epenthesis processes; 3) the role of the audibility of stop release bursts; 4) the existence of cumulative edge effects, whereby more and more phonotactic combinations are licensed at the edges of prosodic domains as we go up the prosodic hierarchy. These generalizations are elucidated in terms of internal and contextual cues, modulation in the acoustic signal, and cue enhancement processes at edges of prosodic domains. The proposed perceptual approach achieves a substantial simplification and unification of the conceptual apparatus necessary to analyze deletion and epenthesis processes. It subsumes under the more general notion of perceptual salience principles of syllable well-formedness and the Obligatory Contour Principle. Furthermore, it eliminates the need for exceptional mechanisms such as extrasyllabicity at domain edges. The analysis is based on the study of deletion and epenthesis processes in a variety of languages. Detailed investigations of schwa in Parisian French, cluster simplification in Quebec French, and stop deletion and vowel epenthesis in Ondarroa Basque are provided.

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: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.257
Teacher spread0.235 · 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

Citations189
Published2000
Admission routes1
Has abstractyes

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