Machine Translation (Non Human Translation. Machine translation, commonly known as MT, is an automated process by which computer software is used to translate text from one natural language to another. The need for machine translation derives from several reasons. In the first place, we need to overcome language barriers. With globalisation, we need to increase the speed of multilingual communication at an affordable cost. The amount of new information to be translated increases exponentially with the collaboration of international teams, the exchange of personal information across borders and the development of new technologies and social networks, thus making it impossible for human translators to get it all translated ‘in time’, at affordable cost and acceptable quality. There is also the problem of consistency. Humans tend to vary and use different words in professional contexts in order not to repeat themselves, but for the sake of consistency it is necessary to stick to previously agreed terminology. This can be achieved with multilingual technology. (Xxxxxxxx, 2005) Machine translation is done by means of translation technologies. These comprise a range of computer applications which are designed to help or replace language translators. Products which help the translator are translator workbenches and terminology products; machine translation systems translate without human intervention. Owing to the imperfect nature of most machine translation output, humans often revise the output to remove errors. (Xxxx Xxxxx, Xxxxxxx Xxxxxxx, 1995) There are different types of machine translation systems, which are based on different approaches, according to their design. The two main approaches are rule-based and empirical. (Xxxxxxx Xxxx Xxxxxxx, Xxxxxx Xxxx, 2007)
