Abstract
The language used in electronic communications such as emails, chats and SMS texts presents special phenomena and important deviations from natural language. Typical machine translation approaches are difficult to adapt to SMS language due to the many irregularities this kind of language shows. This paper presents a new approach for SMS normalization that combines lexical and phonological translation techniques with disambiguation algorithms at two different levels: lexical and semantic. The results obtained by the system outperform some of the existing methods of SMS normalization despite the fact that the corpus created has some features that complicates the normalization task.
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