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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
It’s an expansive dataset designed to teach AI/ML systems how to translate code and consists of some 14 million snippets and 500 million lines spread across more than 55 legacy and active ...
It can translate between any of nearly 100 languages for speech-to-text and text-to-text functions, speech-to-speech and text-to-speech supports those same languages as inputs and outputs them in...
Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.
Microsoft improves its AI translations with Z-Code. Microsoft today announced an update to its translation services that, thanks to new machine learning techniques, promises significantly...
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.
DeepL was born from the similarly excellent Linguee, a translation tool that has existed for years and, while popular, never quite reached the level of Google Translate — the latter has a huge ...
One company thinks it has cracked part of that code with an artificial intelligence system that automatically translates speech into other languages in the same speaker’s voice.
Google Translate is a web-based free-to-user translation service developed by Google in April 2006. [11] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation service. [11] The input text had to be translated into English first before ...
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.