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 drawing parallels between transcription and translation.
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 could be done.
The industry is gradually moving towards Autonomous Localization, a process with minimal human work required, and the ideal one-click localization solution clients demand.
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, addressing them more simply, quickly, and effectively.
Summa Linguae CEO Krzysztof Zdanowski teams up with TextMinded’s former CIO Robert Etches in an attempt to raise up to USD 30 Million by issuing a new cryptocurrency to fund a blockchain-based marketplace for linguistic assets.
A practical guide for buyers on how to put neural machine translation’s impressive capabilities to practical use in real-life localization workflows
Through five case studies and nearly 30 commentaries from the buy (enterprise, government, and more)- and sell-side (LSPs), this report shines a light on the sentiment of industry practitioners towards current-state NMT technology.
24-page report. Blockchain and Translation industry overview. ICOs, business use-cases, solution analysis, crypto chatter and further reading, a cautionary tale.
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 is about to unlock the true value of millions of translation memories.
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.
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