Bridging the Gap Between NMT’s Theoretical Promise and Practical Limitations
A practical guide for buyers on how to put neural machine translation’s impressive capabilities to practical use in real-life localization workflows Continue reading
Ofer Shoshan
Ofer Shoshan is the CEO of One Hour Translation, providing enterprises with HALO - Hybrid AI Localization platform, Neural Machine Translation, and Multilingual human services. OHT allows great companies communicate with great customers quickly and efficiently across any language. Learn more are www.onehourtranslation.com
Autonomous Localization (AL) — The Next Stage in Localization Development
The industry is gradually moving towards Autonomous Localization, a process with minimal human work required, and the ideal one-click localization solution clients demand. Continue reading
What the Translation Industry Can Learn from Transcription
Hybrid Transcription services powered by neural transcription engines are changing the playing field for transcription companies, and the language services industry will do well to learn from... Continue reading
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Where Is the Billion Dollar Language Service Provider?
The language industry is huge, worth around USD 40bn per year. Yet, unlike other industries of this size, there is no one single provider generating a billion US-Dollars in revenue. Here’s how it... Continue reading
Using Blockchain to Track a Translation to the Actual Linguists
One Hour Translation CEO Ofer Shoshan says that the future is one of blockchain-powered translation pipelines where clients can view the entire process and trace issues to their root causes,... Continue reading
Neural MT and Blockchain Are About to Radically Transform the Translation Market
While neural machine translation is progressing at breakneck speed and is already impacting the world’s estimated 600,000 translators and 21,000 language service providers, blockchain technology... Continue reading
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Make Neural Machine Translation Better, Faster – A New Way to Measure NMT Quality
Replacing current automatic quality scores is essential to advance the use and performance of NMT systems. A new, human quality index can dramatically improve NMT performance and adoption. Continue reading
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