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Microsoft today announced an update to its translation services that, thanks to new machine learning techniques, promises significantly improved translations between a large number of language pairs.
A universal translator is a device common to many science fiction works, especially on television. First described in Murray Leinster 's 1945 novella "First Contact", [1] the translator's purpose is to offer an instant translation of any language . As a convention, it is used to remove the problem of translating between alien languages when it ...
Microsoft Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services 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 Translator apps for Windows ...
1.1.0. Yes. 300+. Competitive performance for Chinese translation tasks; statistical machine translation. Supports phrase-based, hierarchical phrase-based, and syntax-based (string-to-tree, tree-to-string, and tree-to-tree) models for research purposes. OpenLogos. Windows, Linux. GPL or paid initiative taker. No fee required.
Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.
Machine learning translation systems typically require extensive labelable examples of the language, both written and spoken, to train on — precisely what unwritten languages like Hokkien don ...
Google I/O 2024: Here’s everything Google just announced. Tech giants Google, Microsoft, and Facebook are all applying the lessons of machine learning to translation, but a small company called ...
Meta just took the wraps off its latest smart glasses at today's Connect event in Menlo Park. We were able to spend a bit of time with the new wearables