International Journal of Localisation
Localisation Focus–The International Journal of Localisation provides a forum for localisation professionals and researchers to discuss and present their localisation-related work, covering all aspects of this multi-disciplinary field, including software engineering and HCI, tools and technology development, cultural aspects, translation studies, human language technologies (including machine and machine assisted translation), project management, workflow and process automation, education and training, and details of new developments in the localisation industry. Proposed contributions are peer-reviewed thereby ensuring a high standard of published material.
Localisation Focus–The International Journal of Localisation is distributed worldwide to libraries and localisation professionals, including engineers, managers, trainers, linguists, researchers and students. Indexed on a number of databases, this journal affords contributors increased recognition for their work. Localisation-related articles, book reviews, perspectives, insights and correspondence are all welcome.
Integrated Language Technology as part of Next Generation Localisation
|Volume 8 Issue 1
|Author: Julie Carson-Berndsen, Harold Somers, Carl Vogel, Andy Way
This paper describes one component of a large research project involving industry-academia collaboration between
four Irish universities and nine Irish and multinational industry partners, all collaborating to develop 'Next
Generation Localisation'. The project as a whole is described by van Genabith (2009); the current paper focuses
on on the role in the project of state-of-the-art language technology including text and speech processing, and
machine translation (MT) in its various forms. In this paper, we describe the basic and innovative research
approach to integrating language technology into the overall design. We will describe research in the areas of MT,
speech technology and text analytics (TA), and ways in which these three are closely integrated with each other.
Keywords: language technology, machine translation, localisation, standards, evaluation, speech technologies,
crowd sourcing, translation memories, post-editing
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