Google attempts to translate new technologies in real time and translates 100 languages at the same time

Google believes that in the future, people will be able to rely on machine logic rather than linguistics to translate files into the world's major languages immediately.
Google's solution is named "statistical machine translation", which is different from previous efforts.
In the past, people used to input grammar rules and dictionaries set by linguistics into computers.
Google will input translated files into computers and then rely on them to identify how to translate files in the future. Franz Och, responsible for the project, said that although the quality is not perfect, it has improved compared with the previous machine translation. "Some people who have been engaged in machine translation for a long time have seen us translate Arabic into English, which is a major breakthrough," he said. The person who has not used machine translation reads the translation and says that the first error is in the fifth line ."
For the vast majority of tasks, the translation is basically correct enough. The translation of Arabic news sites into English is already good, but the two Google employees said it was a little bad to translate the English site into Russian. Och inputs mainly United Nations and EU documents. Languages that do not translate a large amount of text will face major problems, such as the African language. "The more input, the better translation," Och said ."
So far, Google has been. "So far, the focus has been on making good translations," Och said. According to Google's philosophy, once useful, it will have an impact, and then we can find a way to make money ."
The project may be a good combination of Arabic and English, he said,, the software can be translated by no more than experts.
"If we can translate 100 languages at the same time, what will happen? Some companies such as Google are studying machine translation, so that we can translate everything at any time ."