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Record W2740112203

How phonological context affects comprehension: The case of assimilated nasals and stops.

2015· article· en· W2740112203 on OpenAlexaff
Mercedeh Mohaghegh, Craig G. Chambers

Bibliographic record

VenueICPhS · 2015
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAssimilation (phonology)Context (archaeology)PsychologySentenceConsonantIdentification (biology)Speech recognitionStop consonantLinguisticsCommunicationCognitive psychologyVowelComputer scienceHistoryBiology
DOInot available

Abstract

fetched live from OpenAlex

Four forced-choice identification tasks examined the recognition of words containing sounds that have undergone the process of nasal place assimilation (‘phone box’: /n/→[m]) or stop place assimilation (‘cat box’: /t/→[p]). Identification scores and response times were measured for words ending in unassimilated or assimilated coronal consonants, which were either presented in isolation or within a carrier sentence that provided the triggering phonological context for place assimilation (i.e., where the word-final coronal consonant is followed by a word-initial labial sound). Identification scores showed that the presence of the context had a positive influence on listeners’ correct identification of the assimilated forms. Furthermore, this effect was comparable across nasal and stop consonants. However, response time measures showed that phonological context speeded the recognition of assimilated nasals but not assimilated stops. This finding is consistent with the idea that compensation for assimilation involves distinct processing mechanisms for nasals versus stop consonants.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score0.272

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.126
GPT teacher head0.368
Teacher spread0.242 · 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 designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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