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Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation. The result is then rearranged and adapted to approach grammatically based human language. [1]
Previously, machine translation was based on "the meaning of the text" model: take any language, translate the words in the universal language of the senses, and then translate these meanings in the words of another language – and obtain the translated text. This model prevailed in the 1970s-1980s and automated in the 1990s.
There are many languages (notably English) which do not have straightforward one-to-one rules between writing and pronunciation; therefore, the first step in text-to-speech generation has to be text-to-phoneme translation. input text is translated into pronunciation phonemes (e.g. input text xerox is translated into zi@r0ks for pronunciation).
Tajik, [2] [a] Tajik Persian, Tajiki Persian, [b] also called Tajiki, is the variety of Persian spoken in Tajikistan and Uzbekistan by Tajiks. It is closely related to neighbouring Dari of Afghanistan with which it forms a continuum of mutually intelligible varieties of the Persian language. Several scholars consider Tajik as a dialectal ...
The cyrillization of Japanese is the process of transliterating or transcribing the Japanese language into Cyrillic script in order to represent Japanese proper names or terms in various languages that use Cyrillic, as an aid to Japanese language learning in those languages or as a potential replacement for the current Japanese writing system.
Naver Papago (Korean: 네이버 파파고), shortened to Papago and stylized as papago, is a multilingual machine translation cloud service provided by Naver Corporation. The name Papago comes from the Esperanto word for parrot , Esperanto being a constructed language.