What is the difference between the future translation system and the traditional translation machine?

While overcoming the language barrier, scientists not only use new equipment, but also rely on special software to control the operation of the machine. Traditional translation machines can only be used for on-site translation of limited and special topics. The reason for this is that the software in this translation machine must start from the beginning to the end, and writing such a program is a labor-intensive job. Moreover, language is flexible, and sometimes a word appears in different dialogues and has different meanings. For this reason, with the help of the advantages of current technology, scientists have designed an accurate system that is no longer limited by topics. For example, the English word "bank" has double meanings of "bank" and "riverside". When translating this word, the system will consider the meaning of this word according to the statistical method and the context, or analyze the different usage frequencies of this word when it is used as "bank" and "riverside", and finally make the most accurate translation.

Computer programs can also "automatically learn and accumulate experience" from these translations, and then judge how to add appropriate words and sentences in the translation according to the accurate budget.