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Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...
Neural machine translation models available through the Watson Language Translator API for developers. [4] [5] Microsoft Translator: Cross-platform (web application) SaaS: No fee required: Final: No: 100+ Statistical and neural machine translation: Moses: Cross-platform: LGPL: No fee required: 4.0 [6] Yes
This is especially useful for low-resource languages, where large parallel datasets do not exist. [ 4 ] : 689–690 An example of this is the mBART model, which first trains one transformer on a multilingual dataset to recover masked tokens in sentences, and then fine-tunes the resulting autoencoder on the translation task.
Computer-assisted translation is a broad and imprecise term covering a range of tools. These can include: Translation memory tools (TM tools), consisting of a database of text segments in a source language and their translations in one or more target languages.
Various computer based translation companies were also launched, including Trados (1984), which was the first to develop and market Translation Memory technology (1989), though this is not the same as MT. The first commercial MT system for Russian / English / German-Ukrainian was developed at Kharkov State University (1991).
In May 2012 it was replaced by Bing Translator (now Microsoft Translator), to which queries were redirected. [1] Although Yahoo! has transitioned its Babel Fish translation services to Bing Translator, it did not sell its translation application to Microsoft outright.
Interactive machine translation (IMT), is a specific sub-field of computer-aided translation.Under this translation paradigm, the computer software that assists the human translator attempts to predict the text the user is going to input by taking into account all the information it has available.
Translation memory managers do not presently support all documentation formats, and filters may not exist to support all file types. There is a learning curve associated with using translation memory managers, and the programs must be customized for greatest effectiveness.