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Record W1804346510

A Look into the Plosive Characteristics of Japanese /r/ and /d/

2010· article· en· W1804346510 on OpenAlexvenueno aff
Thomas J. Magnuson

Bibliographic record

VenueCanadian acoustics · 2010
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceMathematicsGeology
DOInot available

Abstract

fetched live from OpenAlex

At first glance, two phonemes such as /r/ and /d/ do not seem likely candidates to share a great deal of phonetic similarity.In near-natural speech where articulatory reduction is expected, though, /d/ realized as [ ] (a flap/tap) is commonplace in a number of languages including Japanese.Japanese /r/, or more properly / / , is largely considered to be an alveolar or post-alveolar tap subject to a wide degree of phonetic variability (e.g.Vance 1987;Akamatsu 1997) .Alongside canonical [ ] realizations, variants of /r/ in Japanese can include the lateral flap [ ] , lateral-and rhotic approximants [ , l] (Okada 1999; Amanuma et al. 2004) as well as what Hattori (1951) calls a 'weak [d]' ( or 'weak plosive' in Kawakami 1977; see also Vance, 1987).The weak plosive variant o f /r/ is generally discussed as a positional variant, occurring word-initially or following a pause.This author's earlier auditory-phonetic work with a corpus o f extemporaneous (Kansai) Japanese dialogue suggested (Magnuson 2008) that variation may also in part be individual.That is, in one conversational dyad each speaker's pattern of phonetic realization of /r/ differed widely.One speaker ('JFB') produced taps which included transients akin to the release bursts o f stops (i.e., 'weak plosives'), while the other speaker ('JFA') produced a number of these alongside a variety of taps as well as lateral-and rhotic approximants.This paper acoustically re-examines the same dataset to explore the hypothesis that the speaker who produced more plosive-like /r/s (JFB) would lengthen her phonetic realizations o f /d/ so as to avoid neutralizing her /r, d/ contrast.The conclusion arrived at is that this speaker does use duration to augment the contrast, but she does so by reducing the length of /r/ as opposed to lengthening /d/.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.939
Threshold uncertainty score0.970

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.282
Teacher spread0.270 · 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 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

Citations2
Published2010
Admission routes1
Has abstractyes

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