Advances in public and custom neural machine translation can reduce the cost and time to market for translated websites. Best practices include content triage: knowing how to match human/machine workflows to content types; deep analysis of terminology; building custom engines for each domain. The choices for process, tools and resourcing are explained with specific and relevant examples.
About Conor Bracken
The founder and global CEO of Localization firm, Andovar, Irishman Conor Bracken has developed multiple companies through startups. A resident of Thailand for over 30 years, he co-founded and is the director of the Irish-Thai Chamber of Commerce. He is a master chess player who has competed for Ireland.
Recognized within the localization industry as a pioneer in the separation of production centers and client-facing services, Conor also specializes in localization automation, specifically in the area of machine translation where he has been closely involved with the development of some of the industry’s most advanced AI-driven machine translation solutions, including Language Studio and Ecommerce Studio.
Conor’s goal is to bring value to his clients via intelligent leveraging of translation assets and to provide scalability to multilingual content producers. Coining the term ‘Content Triage’ Conor has devised the blueprint for translating content in the Ecommerce space.