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This article presents an overview of the shared task that took place as part of the TweetMT workshop held at SEPLN 2015. The task consisted in translating collections of tweets from and to several languages. The article outlines the data collection and annotation process, the development and evaluation of the shared task, as well as the results achieved by(More)
An overview of the shared task is presented: description, corpora, annotation , preprocess, participant systems and results. * Gracias a todos los miembros del Comité de Or-ganización y a los proyectos Tacardi, Xlike, Celtic, TextMESS2 y Skater por su colaboración.
This paper argues in favor of a linguistically-informed error classification for SMT to identify system weaknesses and map them to possible syntactic, semantic and structural fixes. We propose a scheme which includes both linguistic-oriented error categories as well as SMT-oriented edit errors, and evaluate an English-Spanish system and an English Basque(More)