A Contrastive Study of English and Chinese Synthetic Compounds
Bibliographic record
Abstract
The current research compares the distributions of OV/VO patterns in English and Chinese synthetic compounds in a quantitative way and attempts to explain the mechanisms of the two patterns of compounds in English and Chinese. Both English and Chinese adopt SVO as their basic word order. However, the interface of syntax and morphology is more clear-cut in English than in Chinese. VO order prevails in English syntax. But VO order must be transformed into OV order in morphology. VO order is quite unproductive in English morphology. Compared with English, the boundary between morphology and syntax is rather vague in Chinese. The formation of Chinese compounds could be explained by the theory of “syntax-as-morphology”, i.e., the VO order of syntax is directly copied by morphology in Chinese. The mechanism of Chinese synthetic compounds provides evidence for the hypothesis of “syntax as morphology”.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".