Automatic domain recognition for machine translation

This paper describes an ongoing project which has the goal of improving machine translation quality by increasing knowledge about the text to be translated. A ba-sic piece of such knowledge is the domain or subject field of the text. When this is known, it is possible to improve mean-ing selection appropriate to that domain. Our current effort consists in automating both recognition of the text’s domain and the assignment of domain-specific transla-tions. Results of our implementation show that the approach of using terminology cat-egorization already existing in the machine translation system is very promising.