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Among the top 100 words in the English language, which make up more than 50% of all written English, the average word has more than 15 senses, [134] which makes the odds against a correct translation about 15 to 1 if each sense maps to a different word in the target language. Most common English words have at least two senses, which produces 50 ...
It is possible to translate words, sentences, or web pages if needed. There is also the option to view both the translation and the original at the same time in a two-window view. In addition to machine translation, there is also an accessible and complete English-Russian and Russian-English dictionary. [6]
Translation software for Microsoft Windows and macOS was released in September 2019. [12] Support for Chinese (simplified) and Japanese was added on 19 March 2020, which the company claimed to have surpassed the aforementioned competitors as well as Baidu and Youdao. [32] [33] Then, 13 more European languages were added in March 2021. [34]
It was an offshoot from JAT, focused on helping Japanese doctors communicate in English, with links throughout the world and some government funding. It created training resources such as actual video interviews with patients in Leicestershire (having various accents), and a 3-way glossary (Japanese, doctors' English, patients' English).
A translation is an assemblage of words, and as such it can contain as much or as little poetry as any other such assemblage. The Japanese even have a word (chōyaku, roughly "hypertranslation") to designate a version that deliberately improves on the original. [121]
In November 2005, another Japanese company, NEC Corporation, announced the development of a translation system that could be loaded in mobile phones. This mobile translation system could recognize 50,000 Japanese words and 30,000 English words, and could be used for simple translations when travelling. [3]
Claude Piron, a long-time translator for the United Nations and the World Health Organization, wrote that machine translation, at its best, automates the easier part of a translator's job; the harder and more time-consuming part usually involves doing extensive research to resolve ambiguities in the source text, which the grammatical and ...
The GNMT system was said to represent an improvement over the former Google Translate in that it will be able to handle "zero-shot translation", that is it directly translates one language into another. For example, it might be trained just for Japanese-English and Korean-English translation, but can perform Japanese-Korean translation.
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