  We propose a real-time machine translation system that allows users to select
a news category and to translate the related live news articles from Arabic,
Czech, Danish, Farsi, French, German, Italian, Polish, Portuguese, Spanish and
Turkish into English. The Moses-based system was optimised for the news domain
and differs from other available systems in four ways: (1) News items are
automatically categorised on the source side, before translation; (2) Named
entity translation is optimised by recognising and extracting them on the
source side and by re-inserting their translation in the target language,
making use of a separate entity repository; (3) News titles are translated with
a separate translation system which is optimised for the specific style of news
titles; (4) The system was optimised for speed in order to cope with the large
volume of daily news articles.
