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"ABSENCE OF A LARGER VISION" Tan Le, 1998 Young Australian of the Year, wrote in the Sydney Morning Herald on 3 March 1999: Let me illustrate from my experience. I have just completed a law degree. One reason why I (and many others) chose law was because I believed a law degree would enable me to contribute in a special way — to do what I could to make a better world. But nothing in the entire law curriculum addressed the issue in a serious and engaging way … Young people are not being educated to take their place in society. They are being trained in a narrow body of knowledge and skills that is taught in isolation from larger, vital questions about who we are and what we might become. There is, in other words, a complete absence of a larger vision, and many young people who enter the university in the hope of learning how to make a better world find out that this is not a consideration. This lack of vision prevails not just in tertiary education. Our society has replaced vision with what might be called a rationale. A rationale is more pragmatic, smaller in scope, less daring and does not fire the heart or capture the imagination …

Cet article présente l'adaptation d'un système de traduction automatique statistique, anglais→irlandais, à un nouveau domain d'utilisation. Ce système nommé est actuellement utilisé par une équipe de traducteurs du gouvernement irlandais. Nous décrivons également le nouveau module de post-édition automatique qui a été développé pour améliorer le système actuel et faciliter le travail de post-édition des traducteurs. This paper reports on the continued development of a domain-tailored English→Irish Statistical Machine Translation system currently in use by an in-house translation team of an Irish government department. We describe the new automatic post-editing module that has been developed to enhance the current system and reduce the post-editing required of translators.

Tapadoir (from the Irish ´ tapa 'fast' and the nominal suffix -oir ´ ) is a statistical machine translation (SMT) project, funded by the Irish government. This work was commissioned to help government translators meet the translation demands which have arisen from the Irish language's status as an official EU and national language. The development of this system, which translates English into Irish (a morphologically rich, low-resourced minority language), has produced an interesting set of challenges. These challenges have inspired a creative response to the lack of data and NLP tools available for the Irish language and have also resulted in the development of new resources for the Irish linguistic and NLP community. We show that our SMT system out-performs Google TranslateTM (a widely used general-domain SMT system) as a result of steps we have taken to tailor translation output to the user's specific needs.

This article provides an overview of the dissemination work carried out in META-NET from 2010 until 2015; we describe its impact on the regional, national and international level, mainly with regard to politics and the funding situation for LT topics. The article documents the initiative's work throughout Europe in order to boost progress and innovation in our field. ; Peer reviewed