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Microsoft Translator is a multilingual machine translation cloud service provided by Microsoft and integrated into Bing, Office, Edge, Skype, and other products. It uses neural networks, syntax-based SMT, phrase-based SMT, and language modeling to translate text and speech between many languages and varieties.
A translator or programming language processor is a computer program that converts human-readable code into machine language. Learn about different types of translators, such as compilers, interpreters, and assemblers, and their advantages and disadvantages.
Google Translate is a free online service that translates text, speech, images and websites between 243 languages. Learn about its development from a statistical machine translation to a neural machine translation, its various functions and features, and its usage and impact.
Learn how to set your preferred language and location in AOL to get local news, weather and date formats. Select your desired language and region from the Account info menu.
Learn about the history, approaches and applications of machine translation, the use of computational techniques to translate text or speech between languages. Compare rule-based, statistical and neural machine translation methods and see examples of MT systems and services.
Learn about the origins, development and challenges of machine translation, a sub-field of computational linguistics that uses software to translate text or speech. Explore the milestones, experiments and proposals from the 17th century to the present day.
A compiler is a program that translates source code from a high-level language to a low-level language or executable code. Learn about the different types of compilers, their phases, and the history of compiler development from the first languages to modern compilers.
Learn about the neural machine translation system developed by Google and introduced in 2016 that used an artificial neural network to improve Google Translate. Find out the history, training, evaluation and languages supported by GNMT.
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