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Record W2807426658 · doi:10.5430/elr.v7n2p9

Derivational Grammar Model and Basket Verb: A Novel Approach to the Inflectional Phrase in the Generative Grammar and Cognitive Processing

2018· article· en· W2807426658 on OpenAlex
Rajdeep Singh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnglish Linguistics Research · 2018
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsGenerative grammarComputer scienceLinguisticsNatural language processingVerb phraseArtificial intelligenceGeneralized phrase structure grammarPhrase structure rulesPhrasePrinciple of compositionalityInflectionEmergent grammarRelational grammarNoun phrasePhilosophy

Abstract

fetched live from OpenAlex

Generative grammar was a true revolution in the linguistics. However, to describe language behavior in its semantic essence and universal aspects, generative grammar needs to have a much richer semantic basis. In this paper, we took a novel morpho-syntactic approach to the inflectional phrase to account for the very diverse inflectional phrase qualities in different languages. Some languages show a very different surface verbal inflection, providing evidence of a different mental processing at the semantic level. In fact, the inflectional phrase is a great representative of the mental and semantic processing layers in mind. Therefore, in this study, we analyzed the inflectional phrase with a novel approach to take into account this rich verbal inflectional configuration in languages, and to describe why some languages behave in a different way in the spatial and temporal aspect. In this study, we analyzed and discussed the verbal inflectional structure of several languages, including German, Swahili, Persian, English, and Indonesian, and our result is the introduction of a semantic model which provides a much richer insight to the semantics/syntax interplay.

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.

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)0.002
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.106
GPT teacher head0.397
Teacher spread0.290 · 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