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  2. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    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]

  3. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    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.

  4. Reverso (language tools) - Wikipedia

    en.wikipedia.org/wiki/Reverso_(language_tools)

    Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.

  5. Google Dictionary - Wikipedia

    en.wikipedia.org/wiki/Google_Dictionary

    Google Dictionary is an online dictionary service of Google that can be accessed with the "define" operator and other similar phrases [note 1] in Google Search. [2] It is also available in Google Translate and as a Google Chrome extension. The dictionary content is licensed from Oxford University Press's Oxford Languages. [3]

  6. Comparison of machine translation applications - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_machine...

    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.

  7. Japanese honorifics - Wikipedia

    en.wikipedia.org/wiki/Japanese_honorifics

    The Japanese language makes use of a system of honorific speech, called keishō (敬称), which includes honorific suffixes and prefixes when talking to, or referring to others in a conversation. Suffixes are often gender-specific at the end of names, while prefixes are attached to the beginning of many nouns.

  8. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    More innovations during this time included MOSES, the open-source statistical MT engine (2007), a text/SMS translation service for mobiles in Japan (2008), and a mobile phone with built-in speech-to-speech translation functionality for English, Japanese and Chinese (2009). In 2012, Google announced that Google Translate translates roughly ...

  9. Verb–subject–object word order - Wikipedia

    en.wikipedia.org/wiki/Verb–subject–object...

    In linguistic typology, a verb–subject–object (VSO) language has its most typical sentences arrange their elements in that order, as in Ate Sam apples (Sam ate apples). VSO is the third-most common word order among the world's languages, [ 1 ] after SOV (as in Hindi and Japanese ) and SVO (as in English and Mandarin Chinese ).

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