Velar palatalization in Slovenian: Local and long-distance interactions in a derived environment effect
Bibliographic record
Abstract
Slovenian velar palatalization has been described as a morphologically and lexically restricted, variable derived environment effect. This paper presents a corpus-based study that for the first time also considers synchronic phonological factors. Much of the variation turns out to be conditioned by local and long-distance consonant co-occurrence restrictions. In terms of local interactions, palatalization invariantly applies to remove an illicit consonant cluster while being blocked when it would result in an illicit consonant cluster. The more surprising finding is that other consonants within the stem also strongly affect palatalization. Palatalization of the stem-final velar is less likely if the stem contains another velar, and palatalization is categorically blocked if the stem contains a postalveolar obstruent, at any distance from the suffix. These data constitute a previously unreported type of local derived environment effects that are blocked at a distance. This interpretation of the Slovenian data sheds a new perspective on typologically similar patterns. The local and long-distance interactions found in Slovenian are modeled within the Maximum Entropy weighted constraint framework.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".