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Record W3108670029 · doi:10.32996/ijllt.2020.3.9.26

Total Assimilation in Persian Phonology: A Modified Contrastive Specification Account

2020· article· en· W3108670029 on OpenAlexaboutno aff
Mohammad Hajimohammad, Batool Alinezhad, Adel Rafiei

Bibliographic record

VenueInternational Journal of Linguistics Literature & Translation · 2020
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
Fundersnot available
KeywordsPhonologyLinguisticsOptimality theoryComputer scienceContrastive analysisMarkednessFeature (linguistics)Redundancy (engineering)Contrastive linguisticsArtificial intelligenceNatural language processingApplied linguisticsPhilosophy

Abstract

fetched live from OpenAlex

Nowadays the main stream in the most fields of linguistics including phonology is minimalism and redundancy removing, which derives from the principle of the economy of language. The advent of under specification theory in the late 19th century can be considered as the beginning of redundancy removing in the domain of phonology. During recent decades different versions of under specification such as Radical Under specification, Contrastive Specification and Modified Contrastive Specification (MCS) have been presented. Modified Contrastive Specification (MCS), which is the finding of Toronto Phonology School is based on Contrastive Hypothesis in which a contrastive hierarchy is applied to specify the contrastive features. It is believed that only contrastive features are specified in phonological representations and redundant values never exist in underlying representations. This paper aims to present a novel analysis of total assimilation process in terms of the manner of articulation in consonant clusters having the structures of –st and –zd in Persian which is an active process in phonology of Persian. Working within the framework of the MCS, through drawing a contrastive hierarchy for phonological features, this paper leads to this conclusion that the feature [continuant] in Persian consonants is a contrastive feature so by spreading this feature, the coronal stops /t/, /d/ assimilate to fricatives /s/ and /z/ respectively. To represent contrast and markedness in this system, we have proposed a contrastive hierarchy of [son] > [lab] > [cont]> [voiced] for consonants involved in the process of total assimilation in Persian.

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)0.001
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 score0.772
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.060
GPT teacher head0.359
Teacher spread0.300 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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Same venueInternational Journal of Linguistics Literature & TranslationSame topicPhonetics and Phonology ResearchFrench-language works237,207