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Record W2941456380 · doi:10.1177/0142723719845175

Syntactic cues to the noun and verb distinction in Mandarin child-directed speech

2019· article· en· W2941456380 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFirst Language · 2019
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsWilfrid Laurier University
FundersNational Science Foundation
KeywordsMandarin ChineseLinguisticsNounVerbInflectionPart of speechPsychology

Abstract

fetched live from OpenAlex

The syntactic structure of sentences in which a new word appears may provide listeners with cues to that new word’s form class. In English, for example, a noun tends to follow a determiner ( a/ an/ the), while a verb precedes the morphological inflection [ing]. The presence of these markers may assist children in identifying a word’s form class and thus glean some information about its meaning. This study examined whether Mandarin, a language that has a relatively impoverished morphosyntactic system, offers reliable morphosyntactic cues to the noun–verb distinction in child-directed speech (CDS). Using the CHILDES Beijing corpora, Study 1 found that Mandarin CDS has reliable morphosyntactic markers to the noun–verb distinction. Study 2 examined the relationship between mothers’ use of a set of early-acquired nouns and verbs in the Beijing corpora and the age of acquisition (AoA) of these words. Results showed that the occurrence of the form class markers is a reliable predictor of the AoA for the early-acquired nouns and verbs.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.005
GPT teacher head0.246
Teacher spread0.242 · 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