Norwegian Dialect Syntax - NorDiaSyn: Grammatical Variation - New Isoglosses and New Media, 2014.
Bibliographic record
Abstract
Traditional studies of dialects focused on lexical issues, sound and inflection, but looked less at structural issues. Therefore, there was a dire need for more knowledge on the syntactic structures of the dialects and their interplay with other aspects of the grammar, and isoglosses. The project "Norwegian Dialect Syntax - NorDiaSyn: Grammatical Variation - New Isoglosses and New Media, 2014" aimed to investigate structural features of 100 dialects in Norway to map grammatical isoglosses, and research in depth two syntactic phenomena that showed variation geographically, morphologically and syntactically: for example expletive subjects and w-questions. Norwegian dialect speech data were collected from more than 100 measuring points in Norway. The project also collected Norwegian dialect data from USA and Canada. In addition searchable corpora and a database were built with Norwegian and Scandinavian dialect data, constituting a valuable research resource for present and future linguists. Dialect studies are important for many reasons. Linguistically, dialect studies can make possible detailed questions on relationships between phenomena. Dialects also represent Norwegian culture and history, and studying them is important to increase the knowledge of our heritage. Furthermore education and school material on dialects suffers from lack of knowledge, especially of grammatical structure and present use. Speech technology needs transcribed dialect speech to develop good tools for the physically impaired and dyslexics. The electronic publication Nordic Atlas of Language Structures Journal (NALS Journal) contains papers written on the basis of the database and corpus, especially with a view to comparisons within and between the languages and dialects of the Nordic countries. Nordic Atlas of Language Structures Journal: http://www.tekstlab.uio.no/nals/#/ Read more about the project and get access to Nordic Dialect Corpus and Nordic Syntax Database: http://www.tekstlab.uio.no/nota/scandiasyn/index.html Read more about Norwegian in America and get access to Corpus of American Norwegian Speech (CANS): http://www.tekstlab.uio.no/norskiamerika/english/index.html
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".