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Article Dans Une Revue Procesamiento del Lenguaje Natural Année : 2014

Lexical Normalization of Spanish Tweets with Rule-Based Components and Language Models

Montse Cuadros
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Thierry Etchegoyhen
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Résumé

This paper presents 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 is an improvement on the tool we submitted to the Tweet-Norm 2013 shared task, and results on the task's test-corpus are above-average. Additionally, we provide a study of the impact for tweet normalization of the different components of the system: rule-based, edit-distance based and statistical.
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Dates et versions

hal-01099241 , version 1 (01-01-2015)

Identifiants

  • HAL Id : hal-01099241 , version 1

Citer

Pablo Ruiz, Montse Cuadros, Thierry Etchegoyhen. Lexical Normalization of Spanish Tweets with Rule-Based Components and Language Models. Procesamiento del Lenguaje Natural, 2014, pp.8. ⟨hal-01099241⟩
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