Machine Translation(MT) is a technology that automatically translate text from one human language into another. For instance, an English-to-Chinese MT system translates from English(the source language) into Chinese(the target language). Nowadays, there are plenty of researches on Machine Translation. Among them, the advanced MT methods are large-scale corpus-based and statistic-based. In this article, the origin, the development and the current situation of MT both in our country and in western countries are discussed. Moreover, the existing problems about artificial intelligence and MT are discussed. Based on this talked above, the future trend is also put forward. In addition, the various methods of MT are introduced with the concern of the character and basic principle. Besides that, some typical structures and character of algorithm for MT are discussed in detail. Finally, the author offers a new way for MT. That is to carry out MT with the help of GSM in order to make the real-time translation into practice. Hence, the wireless communications based on GSM is studied. Then, the connection between MT and GSM is set up. The key point is to combine the GSM with the MT machine. In this way, GSM-based wireless communications for MT is coming. The comparison between the traditional MT method and this GSM-based method is going. Traditional MT methods are usually based on corpus, electrical dictionary and translation system which can hardly make the interaction between human beings and machines. The GSM-based method adopts practical industry control system that can make the MT go into control system and make the MT system be tested by emulation. The frame built on GSM can put the theory into practical system. As a result, the speed and quality of MT can be improved to a great extent. The attraction of this method can make the interaction between human beings and machine be practical. So MT can be used in a new field.
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