# SDL Cracks Russian to English Neural Machine Translation
Author:  Pal Sinha, Barnali 
Author URL: https://financedigest.com/author/pal-sinha-barnali
Published: 2018-06-20
Category: NEWS
Category URL: https://financedigest.com/category/news
Meta Title: SDL Sets Industry Standard with Russian-English Machine
Meta Description: SDL has mastered Russian to English translation, setting a benchmark for machine translation with over 90% perfect output, available for enterprise customers.
URL: https://financedigest.com/sdl-cracks-russian-to-english-neural-machine-translationhtml

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_Global Enterprises to Capitalize on Near Perfect Russian to English Machine Translation as SDL Sets New Industry Standard_

> **MAIDENHEAD, UK –** SDL (LSE: SDL), a leader in global content management, translation and digital experience, today announced that its next-generation SDL Neural Machine Translation (NMT) 2.0 has mastered Russian to English translation, one of the toughest linguistic Artificial Intelligence (AI) problems to date.

SDL NMT 2.0 outperformed all industry standards, setting a benchmark for Russian to English machine translation, with over 90% of the system’s output labelled as perfect by professional Russian-English translators. The new SDL NMT 2.0 Russian engine is being made available to enterprise customers via [SDL Enterprise Translation Server (ETS)](https://www.sdl.com/about/news-media/press/2018/sdls-neural-machine-translation-sets-new-industry-standards-with-state-of-the-art-dictionary-and-image-translation-features.html), a secure NMT product, enabling organizations to translate large volumes of information into multiple languages.

“One of the toughest linguistic [challenges facing the machine translation community has been overcome](https://www.financedigest.com/overcoming-challenges-faced-in-business-from-one-woman-to-another.html "Overcoming challenges faced in business: from one woman to another") by the SDL team,” said Adolfo Hernandez, CEO, SDL. “It was the Russian language that first inspired the science and [research behind](https://www.financedigest.com/new-research-reveals-the-countries-leaving-cash-behind.html "New research reveals the countries leaving cash behind") machine translation, and since then it has always been a major challenge for the community. SDL has deployed breakthrough [research strategies](https://www.financedigest.com/global-compressor-controllers-market-outlook-2021-pricing-strategy-industry-latest-news-research-report-analysis-and-share-by-forecast-2028.html "Global Compressor Controllers Market Outlook 2021, Pricing Strategy, Industry Latest News, Research Report Analysis And Share By Forecast 2028") to master these difficult languages, and support the global expansion of its enterprise customers. We have pushed the boundaries and raised the performance bar even higher, and we are now [paving the way](https://www.financedigest.com/soft-lending-and-inflation-data-pave-way-for-smaller-ecb-hike.html "Soft lending and inflation data pave way for smaller ECB hike") for leadership in other complex languages.”

The linguistic properties and intricacies of the Russian language relative to English make it particularly challenging for MT systems to model. Russian is a highly inflected language with different syntax, grammar, and word order compared to English. Given the complexities created by these differences between the Russian and English language, raising the translation quality has been an ongoing focus of the SDL [Machine Learning](https://www.financedigest.com/machine-learning-in-artificial-intelligence.html "Machine learning in artificial intelligence") R&D team.

“With over 15 years of [research and innovation](https://www.financedigest.com/stretch-marks-treatment-market-insights-new-innovations-research-and-growth-factor-till-2025.html "Stretch Marks Treatment Market Insights, New Innovations, Research and Growth Factor till 2025") in machine translation, our scientists and engineers took up the challenge to bring Neural MT to the next level,” said Samad Echihabi, Head of Machine Learning R&D, SDL. “We have been evolving, [optimizing and adapting our neural technology](https://www.financedigest.com/seenthis-launches-ground-breaking-segment-by-segment-optimization-technology-for-display-advertising.html "SeenThis launches ground-breaking segment-by-segment optimization technology for display advertising") to deal with highly complex translation tasks such as Russian to English, with phenomenal results. A machine running SDL NMT 2.0 can now produce translations of Russian text virtually indistinguishable from what Russian-English bilingual humans can produce.”

SDL NMT 2.0 is optimized for both accuracy and fluency and [provides a powerful](https://www.financedigest.com/french-cloud-provider-ovh-lines-up-diesel-generators-to-offset-potential-power-cuts.html "French cloud provider OVH lines up diesel generators to offset potential power cuts") paradigm to deal with morphologically rich languages. It has been designed to adapt to the quality and quantity of the data it is trained on leading to high learning efficiency. SDL NMT 2.0 is also [developed with the enterprise in mind with a significant focus on translation production](https://www.financedigest.com/tire-recycling-downstream-products-market-to-observe-strong-development-by-2019-2027.html "Tire Recycling Downstream Products Market to Observe Strong Development by 2019-2027") speed and user control via terminology support.

Powered by SDL NMT 2.0, SDL Enterprise Translation Server (ETS) transforms the way global enterprises understand, communicate, collaborate and do business enabling them to [securely translate and deliver](https://www.financedigest.com/managing-compliance-complexity-will-deliver-security-rewards.html "Managing compliance complexity will deliver security rewards") large volumes of content into one or more languages quickly. Offering total control and [security of translation data](https://www.financedigest.com/how-financial-services-firms-can-mitigate-against-their-top-data-security-threats.html "How Financial Services Firms Can Mitigate Against Their Top Data Security Threats"), SDL ETS has been successfully used in the government sector as well for over a decade.


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