on, Tweets Abstract: The lexical richness and its ease of access to large volumes of information converts the Web 2.0 into an important resource for Natural Language Processing. Nevertheless, the frequent presence of non-normative linguistic phenomena that can make any automatic processing challenging. In this paper is described the partici- pation in the Text Normalisation Workshop at the SEPLN conference (Tweet-norm 2013). The Workshop includes one unique task focused on the normalisation of Spa- nish tweets. For this task we have used TENOR, a multilingual lexical normalisation tool for Web 2.0 texts.