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Record W2955265407 · doi:10.1075/slcs.180.09tor

The organizational structure of lexical compound verbs in Japanese

2017· book-chapter· en· W2955265407 on OpenAlexaff
Kiyoko Toratani

Bibliographic record

VenueStudies in language companion series · 2017
Typebook-chapter
Languageen
FieldComputer Science
TopicNatural Language Processing Techniques
Canadian institutionsYork University
Fundersnot available
KeywordsLinguisticsOrganizational structurePsychologyNatural language processingComputer sciencePolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract This study offers a Construction Morphology account of the organizational structure of the class of lexical compound verbs in Japanese, covering two newly proposed types (thematic and aspectual compound verbs) ( Kageyama 2013 ) and two understudied types (prefixed and lexicalized type compound verbs), as an alternative to a traditional listing of types. It argues that compounds are arranged in two dimensions: one contains the inheritance hierarchy, with its root node diverging according to the position of the semantic head (for thematic, aspectual, and prefixed type compounds); the other covers compounds with extended senses (for the lexicalized type). The study also proposes constructional schemas for compound verbs (e.g. those with affixoids such as - hateru ‘completely’) to illustrate how they are organized in the inheritance hierarchy.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.906
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.026
GPT teacher head0.317
Teacher spread0.292 · 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 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

Citations1
Published2017
Admission routes1
Has abstractyes

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