Understanding the nuances of language is difficult even for people to pick up, and it is now apparent that this is the very reason why machine translation has only been able to … New phrases are being developed in any … Part of the reason why translation is difficult for computers is that translation is just difficult: difficult even for humans. Going back to the history of machine translation (hereafter called MT), you have scientists that believed it was originally a word for word lookup and replacement problem. Machine Translation. A translation cannot be complete without the human touch. And translations of literature, poetry, and the like will remain difficult for machine translation software for years since there is much more to this sort of translation than accuracy, such as style and other artistic considerations. To expand on the issues mentioned in Dmitry’s answer, another difficulty for machine-translation of Japanese is that it is a context-heavy language. But two common misunderstandings make translation seem altogether simpler than it is. It is difficult to localize machines for different languages. Machine translation has been in the works for decades, and every day, it is becoming less of a science fiction hope and more of a reality. Thus, machine translators often offer different solutions also in sentence level. 1 Translation and Computers Part of the reason why translation is difficult for computers is that translation is just difficult: difficult even for humans. Productization of Quality Estimation. Machine translators use artificial intelligence and while it is developing day in day out, it can never match human intelligence. There are many factors that are involved in the hardness of machine translation, including words with multiple meanings, sentences with multiple grammatical structures, uncertainty about what a pronoun refers to, and other problems of grammar. No one can (or shouldn’t!) All this makes it even more difficult to find the best machine translation engine for the complete piece of text. In the end, one can say that translation is very complex. Translating is a many-faceted skill that goes well beyond mere competence in two languages. Machine translators are becoming more efficient and the quality of … Roughly speaking, the job of a translator is take … Why machine translation is good for the translation industry? Because it’s not just about words. Quality estimation (QE) is a machine learning technology that … 5. 97 ff. In Machine Translation and Global Research: Towards Improved Machine Translation Literacy in the Scholarly Community, pp. Tue, ... where a word has more than one meaning, the process of translation, done by machines, becomes even more difficult. Automatic translators are only useful for giving a brief overview (the gist of what is being said) of the main ideas being discussed. To expand on the issues mentioned in Dmitry’s answer, another difficulty for machine-translation of Japanese is that it is a context-heavy language. But about what words are about. In computing history, the idea is quite old, but it is only very recently that we’ve begun to enjoy machine translation that can approximate the quality of human translation.
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