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Record W4361225408 · doi:10.5430/elr.v12n1p12

Complex Events in the Serial Verb Constructions in Vietnamese: A Cognitive Perspective

2023· article· en· W4361225408 on OpenAlexvenueno aff
Ly Ngoc Toan

Bibliographic record

VenueEnglish Linguistics Research · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsnot available
Fundersnot available
KeywordsVietnamesePerspective (graphical)VerbLinguisticsComputer scienceContext (archaeology)Collocation (remote sensing)CognitionNatural language processingPsychologyArtificial intelligenceHistoryPhilosophy

Abstract

fetched live from OpenAlex

This study looks at the so-called serial verb construction, which Vietnamese speakers utilize to indicate complex events in a clause with two or more verbs placed side by side without a linker (henceforth SVC). The study's findings show how different events can be expressed by different verbs in the same construction. This study also demonstrates that verbs must be serialized in a specific collocation even though they indicate several occurrences in the same construction. More crucially, by highlighting verbs' semantic and syntactic characteristics in SVC, this work explains how verbs can be combined. As a result, this research is anticipated to provide linguistic context for examining the SCV typologies in Vietnamese.

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)0.003
metaresearch head score (Gemma)0.120
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.565
Threshold uncertainty score0.888

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.120
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.127
GPT teacher head0.381
Teacher spread0.254 · 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.

Study designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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