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.
Text Generation for the Localisation of an Online Game
|Volume 9 Issue 1
|Authors: K.A. Arthur, B. Brandt, A. Fedane, D. Hannan
The problem being examined arises in the gaming industry, where the
addition of new and varied content is of great importance to gamers.
New content addition is a cost driver and so, finding ways to allow
scalable content, while managing costs will be of interest to
producers. A solution is presented in the paper to the problem of
localising a large volume of sentences of text with similar
structures. An automated text generation tool was written in Ruby on
Rails, which implemented a set of grammatical rules for each of the
project languages, and generated grammatically correct text to
appear in the user interface of the online game. The costs of full
product internationalisation and rules based translation are
compared in a simple model. We conclude that the rules based
approach to automatic text generation is less costly, and scalable
for this particular case.
Keywords: String concatenation, localisation translation,
cost reduction, translation review, string parsing, grammar rules,
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