Welocalize is an “MT engine-agnostic” LSP whose translators must post-edit SMT, RBMT and hybrid engine outputs, depending on client needs. This variability represents a significant challenge, but by developing a set of supply chain education methodologies and managing clients’ and translators’ expectations, Welocalize has seen significant productivity gains. This session will examine the supply chain education methodologies, the feedback loop, and real-world examples to demonstrate how Welocalize is able to improve productivity and allow for predictable scheduling and fair pricing.
Olga Beregovaya has over 15 years' experience in localization and translation automation, with a particular focus on machine translation development and deployment. She is currently driving the MT/Translation Automation strategy for Welocalize, one of the top 10 localization companies. Olga is very active in the translation/localization industry; she is a frequent presenter at Localization World, TAUS and GALA conferences.
Currently the Senior Solutions Architect at Welocalize, Alex Yanishevsky has been in the localization industry for over 15 years in a variety of roles. He has written numerous articles for industry journals and presented at industry conferences. Alex's areas of expertise include machine translation, data mining, computational linguistics and GMS and CAT tools. He earned a Ph.D. in Slavic Literature from Brown University.