Lexical Normalization of Spanish Tweets with Preprocessing Rules, Domain-Specific Edit Distances, and Language Models
Résumé
We present a system to normalize Spanish tweets, which uses preprocessing rules, a domain-appropriate edit-distance model, and language models to select correction candidates based on context. The system's results at SEPLN 2013 Tweet-Norm task were above-average.
| Origine | Fichiers produits par l'(les) auteur(s) |
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