Weighted transfer rules
Revision as of 11:57, 13 April 2018 by Deltamachine (talk | contribs) (Created page with "== Related links == Idea description [[Weighted_transfer_rules_at_GSoC_2016|Nikita Medyankin's project at GSoC 201...")
Related links
Nikita Medyankin's project at GSoC 2016
https://github.com/apertium/apertium-weights-learner/tree/629b48b306116565bc1d748c298bc28b41506f63
https://svn.code.sf.net/p/apertium/svn/branches/weighted-transfer/
Fixes
Nikita's code should work okay now. To run it, download apertium-weights-learner from https://github.com/apertium/apertium-weights-learner/tree/experimental, English - Spanish language pair with ambiguous rules from https://github.com/apertium/apertium-en-es/tree/ambiguous-rules and Apertium core with modified transfer module from https://svn.code.sf.net/p/apertium/svn/branches/weighted-transfer/apertium/.
Coverages
The number of all possible coverages was calculated 100 times for 100 random sentences for 5 language pairs.
| language pair | corpus | mean number of coverages |
| English - Spanish | Tatoeba | 3.72 |
| English - Spanish | Europarl | 194.35 |
| Spanish - Catalan | Tatoeba | 2.94 |
| Spanish - Catalan | Europarl | 53.04 |
| Basque - Spanish | Tatoeba | 9.19 |
| Swedish - Norwegian | Europarl | 488.57 |
| Crimean Tatar - Turkish | Crimean Tatar Wikipedia | 3.12 |
