Exploring the Sentence Length and Age of Acquisition of Speech Recognition Test Sentences in Dutch, American English, and Canadian French
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to examine the differences between the age of acquisition (AoA) and sentence length of sentences of the speech recognition (SR) tests for adults and children in Dutch, American English, and Canadian French. METHOD: The AoA and sentence length of the sentences of four SR tests for adults and children were determined. One-way analyses of variance were performed to assess differences between the tests. RESULTS: The AoA and sentence length of the sentences significantly differed between the SR tests for adults. These differences were also found between the SR tests for children. CONCLUSIONS: The AoA and the sentence length differ across the SR tests in Dutch, American English, and Canadian French. The Dutch sentences have higher AoA and are longer than the sentences in American English and Canadian French. The effect of the linguistic complexity on sentence repetition accuracy should be investigated during the development and validation of a Dutch SR test for children.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".