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Record W3169091465 · doi:10.20865/20219207

Emergence of that in long-distance wh-movement in the Korean-English interlanguage

2021· article· en· W3169091465 on OpenAlexaboutno aff
Jongkuk Lee, Il Jae Lee

Bibliographic record

VenueLanguage and Linguistics · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsInterlanguageMovement (music)LinguisticsPsychologyHistoryPhysicsPhilosophyAcoustics

Abstract

fetched live from OpenAlex

This article presents the emergence of that (termed the way-that for terminological convenience) as a remnant copy of wh-word in the course of acquiring long-distance (LD) wh-movement. A cross-sectional task using an elicited oral-translation task was carried out with 30 Korean-speaking university students learning L2 English. The goal was to corroborate the existence of that in the Korean-English interlanguage such as Who do you think that who lived in the house? by bilingual Basque-Spanish learners (Gutiérrez & Mayo 2008) and Who do you think that he go buy eggs? by Canadian French speakers (Slavkov 2009). The way that is argued to be a remanent copy of the moved wh-word, devoid of the [+WH] feature while preserving phonetic features, and is, pronounced as that, during the syntactic operation of deletion. The experimental data gathered reveal that (1) there are a few but still necessary instances of the way-that which allude that UG can be accessible in the Korean-English interlanguage, and that.(2) Korean L2 leaners can select a linguistic option available in UG but unavailable in their L1 Korean and L2 English. Furthermore, the way-that was found to not be the usual complementizer that, which commonly is placed in the specifier head, since it situates to the left of the wh-word in the specifier position. For the same reason, it was argued that the way-that was not a case of doubly-comp filter violation.

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)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
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 integrity0.0000.000
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 head0.017
GPT teacher head0.309
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 designQualitative
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
Published2021
Admission routes1
Has abstractyes

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Same venueLanguage and LinguisticsSame topicLinguistic Variation and MorphologyFrench-language works237,207