Category: Research
Azure AI Custom Translator Neural Dictionary: Delivering Higher Terminology Translation Quality
Today, we are super excited to announce the release of neural dictionary, a significant translation quality improvement to our platform. In this blog post, we will explore the neural dictionary feature. Introduction Neural dictionary is an extension to our dynamic dictionary and phrase dictionary features in Azure AI Translator. Both allow our users to customize the translation output by providing their….
Bing’s gendered translations tackle bias in translation
We’re excited to announce that, as of today, masculine and feminine alternative translations are available for when translating from English to Spanish, French, or Italian. You can try out this new feature in both Bing Search and Bing Translator verticals. Over the last few years, the field of Machine Translation (MT) has been revolutionized by the advent of transformer models,….
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Breakthrough Z-Code Mixture of Experts models now live in Translator
Translator is now adopting Z-Code models, a breakthrough AI technology that significantly improves the quality of production translation models. Z-code models utilize a new architecture called Mixture of Experts (MoE) which enables models to learn to translate between multiple languages at the same time. This opens the way to high quality machine translation beyond high-resource languages and improves the quality….
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Multilingual translation at scale: 10000 language pairs and beyond
Microsoft is on a quest for AI at Scale with high ambition to enable the next generation of AI experiences. The Microsoft Translator ZCode team is working together with Microsoft Project Turing and Microsoft Research Asia to advance language and multilingual support at the core of this initiative. We continue to push frontiers with Multilingual models to support various language….
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Translator now translates more than 100 languages
Today, we added 12 new languages and dialects to the Microsoft Translator service– Bashkir, Dhivehi, Georgian, Kyrgyz, Macedonian, Mongolian (Cyrillic), Mongolian (Traditional), Tatar, Tibetan, Turkmen, Uyghur, and Uzbek (Latin)—bringing the total number of languages available in Translator to 103. You can read more about this news in the Microsoft AI announcement blog, the Microsoft Research blog, and the Azure Tech….
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Microsoft Translator releases literary Chinese translation
When reading ancient Chinese poetry, we often marvel at the very wonderful words ancient writers could use to describe people, events, objects, and scenes. This is a splendid cultural treasure that has been left behind for us. However, similar to Shakespeare’s verses in the English language, the literary Chinese used by these poets is often difficult for modern day people to understand, and the meanings….
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Neural Machine Translation Enabling Human Parity Innovations In the Cloud
In March 2018 we announced (Hassan et al. 2018) a breakthrough result where we showed for the first time a Machine Translation system that could perform as well as human translators (in a specific scenario – Chinese-English news translation). This was an exciting breakthrough in Machine Translation research, but the system we built for this project was a complex, heavyweight research system, incorporating multiple cutting-edge techniques. While we….
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