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BowLingual (バウリンガル), or "Bow-Lingual" as the North American version is spelled, is a computer-based dog language-to-human language translation device developed by Japanese toy company Takara and first sold in Japan in 2002. Versions for South Korea and the United States were launched in 2003.
Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]
Modern Han Chinese consists of about 412 syllables [1] in 5 tones, so homophones abound and most non-Han words have multiple possible transcriptions. This is particularly true since Chinese is written as monosyllabic logograms, and consonant clusters foreign to Chinese must be broken into their constituent sounds (or omitted), despite being thought of as a single unit in their original language.
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.
In China, letters of the English alphabet are pronounced somewhat differently because they have been adapted to the phonetics (i.e. the syllable structure) of the Chinese language. The knowledge of this spelling may be useful when spelling Western names, especially over the phone, as one may not be understood if the letters are pronounced as ...
This is a list of Chinese-English translators. Lists and biographies of translators of contemporary literature (fiction, essays, poetry) are maintained by Paper Republic , Modern Chinese Literature and Culture (MCLC), and on the Renditions Translator database.
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The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.