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Record W7054489942

The acquisition of object markers by Bemba-speaking children

2011· other· en· W7054489942 on OpenAlexaboutno aff

Bibliographic record

VenueOpenGrey (Institut de l'Information Scientifique et Technique) · 2011
Typeother
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsObject (grammar)Language acquisitionTask (project management)Romance languagesNull (SQL)Language developmentAgreement
DOInot available

Abstract

fetched live from OpenAlex

This study reports on three empirical studies which were undertaken to investigate the acquisition of object markers by Bemba speaking children and to compare the findings to age- matched French-speaking children. The motivation for the comparative study comes from the claim by Cocchi (2000) and Labelle (2008) that Bantu object markers and Romance clitics can be given a unitary analysis. In both language families as Cocchi (2000) points out, object , markers encode phi-features of corresponding lexical DPs, express syntactic relations of object, indirect objet, locative, and reflexive. They replace lexical arguments and have a similar syntactic distribution surfacing to the left of the verb. The study investigates the implications of these similarities in the acquisition of object markers in both language families. The Bemba spontaneous data shows similarities between Bemba and French children in terms of ages of acquisition and omission of object arguments. The data however, does not clearly show the delay in the acquisition of the object marker as opposed to the subject marker that is attested in child French. The elicitation production experiment shows that Bemba children do not randomly omit objects but appear to obey semantic and pragmatic constraints that license null objects in the target language whereas high rates of non-target omissions have been reported in child French. Bemba children, like French children, rejected the null object construction in a replication study of Griiter's (2006) Truth Value Judgment task (which had been used with French Canadian children of an equivalent age range). This is interpreted as showing that Bemba children like their French counterparts have no null object representation in their grammar. It is argued that because the null object construction is licit in adult Bemba (given the appropriate pragmatic constraints that license them), Bemba children do not have to unlearn it as it is not a defect in their grammar whereas French children will have to adjust to what is permitted in the target language.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.161
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.010
GPT teacher head0.230
Teacher spread0.219 · 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 designNot applicable
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

Citations0
Published2011
Admission routes1
Has abstractyes

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