Shallow-Transfer Rule-Based Machine Translation between Icelandic and Swedish. Developing Apertium-is-sv: A Bidirectional Open-Source RBMT Application for Icelandic and Swedish
Bibliographic record
Abstract
This paper describes the development of Apertium-is-sv, a bidirectional shallow- transfer rule-based machine translation application for Icelandic and Swedish. The system was implemented in the open-source RBMT platform Apertium and was developed according to its standards. \nThe development of the system included the creation of a bilingual dictionary, two monolingual dictionaries, one for each language, syntactic transfer rules and the first steps towards the development of open-source constraint grammars for both Swedish and Icelandic. \nThe evaluation of the system showed that its performance was in line with other Apertium pairs and very similar to that of the other available MT tool for this language pair, Google Translate. In order to improve its performance, more work will need to be done on all modules that comprise the system.
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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 | 0.000 | 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 | 0.000 | 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 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".