A New Template-Template-enhanced ICALL System for a Second Language Composition Course
Why this work is in the frame
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Bibliographic record
Abstract
To solve a bottleneck problem of authoring a finite state automaton (FSA)-based ICALL system capable of automatically correcting free format English composition sentences, we have developed a new template-template scheme to simplify and streamline the labor-intensive input processes of the network of possible answers. This is achieved by exploiting a simple rule-based approach to the template construction which allows us to integrate complex template patterns into a simpler single template and also to generate many patterns, particularly those of grammatical errors, automatically. This approach contributes to a reduction both in computational processing time and complexity of the system and opens a wide door for a new natural language processing (NLP)-based dialogue system (written and spoken) of future man-machine interactive systems.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 it