Verb morphology deficits in Arabic-speaking children with specific language impairment
Bibliographic record
Abstract
ABSTRACT This paper explores tense and agreement marking in the spontaneous production of verbs in Arabic-speaking children with specific language impairment (SLI) and two groups of typically developing children: one group matched for mean length of utterance, and the other group matched for age. The special characteristics of Arabic such as its rich bound morphology, intricate verb system, null subject properties, and lack of an infinitival form make it particularly valuable for determining universal versus language-specific aspects of SLI. The results indicate that the Arabic-speaking participants with SLI had obvious problems with verb morphology. They were significantly different from the two comparison groups of children on the percentage of correct use of tense and subject–verb agreement forms. Furthermore, when an error in verbal infection occurred, the substitute form was often an imperative form. The findings are examined in light of cross-linguistic research pertaining to the nature of the SLI deficit and its relationship with typical language learning.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".