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Record W3095084895 · doi:10.1075/pbns.315.03ono

Exploration into a new understanding of ‘zero anaphora’ in Japanese everyday talk

2020· book-chapter· en· W3095084895 on OpenAlexaff
Tsuyoshi Ono, Ryoko Suzuki

Bibliographic record

VenuePragmatics & beyond. New series · 2020
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAnaphora (linguistics)Zero (linguistics)LinguisticsPsychologyComputer scienceArtificial intelligencePhilosophyResolution (logic)

Abstract

fetched live from OpenAlex

Abstract This chapter examines the phenomenon called ‘zero anaphora’ in Japanese where syntactic arguments, thought to be projected by the predicates, are assumed to be deleted yet their referents are still tracked. A close inspection of representative narrative and interactive segments reveals that everyday talk, the primordial form of language, is carried out largely through more or less fixed expressions which are better analyzed as not projecting syntactic arguments. This suggests that deletion of arguments and tracking of referents might not be relevant to the grammar of Japanese everyday talk. We demonstrate this by discussing several facts including: (1) inserting what might be thought of as ‘deleted’ arguments in relevant examples makes them consistently more marked, awkward, or even unacceptable and (2) ‘deleted’ arguments are often associated with multiple equally possible referents, or no referents. The predominance of fixed expressions in our data suggests that they constitute the basic type of language in Japanese everyday talk. It is hoped that the current study is a contribution to building a model of grammar which captures this very characteristic of everyday talk where (semi-) fixed structure continuously emerges.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.089
GPT teacher head0.275
Teacher spread0.186 · 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
GenreOther

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

Citations4
Published2020
Admission routes1
Has abstractyes

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