Model that suggests fixes to correct typos.
Example:
from lookout.style.typos.corrector import TyposCorrector
corrector = TyposCorrector().load("9b82399a-1a4d-48c2-9e53-c4f0be631a45")
print("Corrector configuration:\n", corrector.dump())| ID | 9b82399a-1a4d-48c2-9e53-c4f0be631a45 |
| Uploaded | 2019-07-17 12:57:04 |
| Version | 1.0.0 |
| File | https://storage.googleapis.com/models.cdn.sourced.tech/models%2Ftypos_correction%2F9b82399a-1a4d-48c2-9e53-c4f0be631a45.asdf |
| Size | 16.4 MB |
| Fasttext train size | 500000000 |
| Frequencies size | 39672 |
| Proba of >1 typo in a typo-ed word | 0.01 |
| Proba of a typo in a word | 0.5 |
| Train size | 100000 |
| Vocabulary size | 39672 |
| License | O |