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Record W2897371449 · doi:10.1121/1.5068479

Phonetic structure of Intonational prominence in 3 Dene/Athabasakn (ISO den) languages

2018· article· en· W2897371449 on OpenAlexaboutno aff
Joyce McDonough

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2018
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
Fundersnot available
KeywordsProsodyFocus (optics)LinguisticsNavajoStress (linguistics)American EnglishSentenceTone (literature)Feature (linguistics)HistoryPhysicsPhilosophy

Abstract

fetched live from OpenAlex

In this paper, we examine the prosodic structure of Y/N Q’s and focus constructions in three related Dene/Athabaskan tone languages spoken in North American: Navajo, Dene Sų́łíne, and North Slavey (Deline), known for their complex polysynthesis, representing a geographically widespread language family, from the American Southwest (Navajo), to northern Alberta (Dene Sųłine) to the arctic (North Slavey). These languages share a strikingly similar phonetic inventory and morphological structure. One interesting feature is the phonotactic structure of the morphology—the monosyllabic verb stem is the location of phonemic contrasts: outside the stem the contrasts are severely reduced, making the stems phonemically and phonetically prominent. The stems are the rightmost elements in the verbal complex and in a sentence (verb final). Navajo has been argued to lack any kind of intonational prominence, but the northern languages show more typical prominence marking. In this study we lay out the difference associated to the demarcation of boundaries and prominence: duration and the acoustic correlates of pitch accent events associated with focus and YN/Q’s and boundary marking. Data is taken from conversation games models on map tasks. Findings indicate while phonetically and morphologically similar great variety is found in the prosody.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.333
Teacher spread0.318 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

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