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Une approche hybride traduction/correction pour la normalisation des SMS
| Content Provider | Semantic Scholar |
|---|---|
| Author | Beaufort, R. Roekhaut, Sophie Cougnon, Louise-Amélie Fairon, Cédrick |
| Copyright Year | 2010 |
| Abstract | This paper presents a method of normalizing SMS messages that shares similarities with both spell checking and machine translation approaches. The normalization part of the system is entirely based on models trained from a corpus. Evaluated in French by ten-fold cross-validation, the system achieves a 9.3% Word Error Rate and a 0.83 BLEU score. Mots-cles : SMS, normalisation, machines a etats finis, approche hybride, oriente traduction, oriente correction, apprentissage sur corpus. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.iro.umontreal.ca/~felipe/TALN2010/Xml/Papers/all/taln2010_submission_23.pdf |
| Alternate Webpage(s) | http://talnarchives.atala.org/TALN/TALN-2010/taln-2010-long-012.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |