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Cloudwords Partners with Lilt to Offer Interactive Machine Translation for Faster Multilingual Content Creation
[April 18, 2017]

Cloudwords Partners with Lilt to Offer Interactive Machine Translation for Faster Multilingual Content Creation


SAN FRANCISCO, April 18, 2017 /PRNewswire/ -- Cloudwords, a software provider for global content localization, announced today it has partnered with Lilt, an AI-infused translation platform, to deliver an end-to-end localization solution that incorporates the best of both Cloudwords' and Lilt's technology solutions: Cloudwords software speeds global marketing workflows and Lilt's interactive Machine Translation (MT) and CAT software boosts translator productivity. Together, Cloudwords and Lilt will offer multinational organizations with high volume, complex localization demands the ability to shorten localization turnaround times, reduce cost and increase quality for multilingual content. The joint solution further enables global marketers to more quickly and efficiently create and deliver localized marketing campaigns and content at scale.

"With Lilt's technology as part of our solution offering, Cloudwords is further positioned as the preferred technology choice for global enterprise marketing teams who want to get an edge on the competition. Cloudwords offers customers a complete solution to both speed the localization workflow and shorten translation turnaround times, enabling marketers to significantly accelerate go-to-market launch timelines," said Richard Harpham, CEO at Cloudword.



Lilt's technology enables a human+machine partnership to accelerate human translation and improve machine translation quality. As users translate on Lilt, the system offers translation suggestions and learns from human feedback. Lilt is the first production MT system that learns from that feedback in real-time, eliminating lag time for system re-training, which typically takes days or weeks. The system increases the productivity of a translator by 2-3 times, and improves overall localization quality and message consistency.

"We started Lilt to help people transcend language barriers to information access. Global businesses rely on Cloudwords to manage their multilingual content. By supercharging their workflows with Lilt, companies can now imagine delivering all of their content to more customers in more markets faster," said Spence Green, Lilt CEO and Co-founder.


Enterprise organizations with large internal translation teams will benefit from Lilt's interactive MT and CAT software, which improves translator productivity to shorten translation turnaround times. Cloudwords' partner ecosystem, which includes nearly 500 professional language service providers (LSPs), can leverage the joint solution to further increase the efficiency of the translation process for Cloudwords' customers.

Lilt's interactive MT and CAT software is available now for all Cloudwords customers. To learn more, schedule a consultation with a Cloudwords representative.

About Cloudwords

Cloudwords software speeds time to market for global campaigns and localized content. By connecting marketing systems and automating project workflow, Cloudwords eliminates time-consuming tasks and delivers unprecedented visibility into the localization process. With Cloudwords, marketers realize the global value of their marketing technology stack, enabling the delivery of more personalized content, in more languages, to more customers at a speed, quality and scale impossible to achieve with manual processes. Visit www.cloudwords.com to learn how global brands like Amazon Web Services, CA Technologies, McDonald's, Marketo, Oracle, Hubspot and Iron Mountain use Cloudwords. Headquartered in San Francisco, Cloudwords is backed by Storm Ventures, UMC Capital and Marc Benioff, founder of salesforce.com.

 

To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/cloudwords-partners-with-lilt-to-offer-interactive-machine-translation-for-faster-multilingual-content-creation-300440586.html

SOURCE Cloudwords


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