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Showing posts from August, 2018

Chatbot Pitfalls and Solid Advice on Getting it Right

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According to Gartner research, it is estimated that 60.5 million Americans use a virtual assistant at least once a month. If this trend continues, chatbots will likely power 85 percent of all customer service interactions by the year 2020.  It is said that chatbots are the new FAQ . Every second, 40,000 search queries are made online worldwide. That adds up to 3.5 billion per day or 1.2 trillion each year. That’s a lot of people looking for a lot of answers. If chatbots are built right they definitely enhance the customer experience and make it easier for a customer to find the content they need. Technical support is the most common type of chatbot content. Chatbots provide a bridge between technical documentation teams and customer support call centers. Salesforce’s Chief Digital Evangelist, @ ValaAfshar predicts that “The line-of-business that is most likely to embrace AI first will be the customer service – typically the most process-oriented and technology savvy organization w...

Post-Editing and NMT: Embracing a New Age of Translation Technology

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This is a guest post by Rodrigo Fuentes Corradi and Andrea Stevens from the SDL MT  project management team.  SDL is unique amongst LSPs as they have both deep MT development expertise, and also have a large pool of in-house professional translators who can communicate much more easily with the MT development and management team on engine specifics, and provide the kind of feedback that leads to best practices in MTPE projects and delivers overall superior quality. MT in many localization contexts only works if it indeed delivers output that is useful to translators rather than frustrates them. This quality is best achieved by an active and productive (constructive) dialogue between translators, project managers, and developers, which is the modus operandi at SDL.  While most MT developers have a strong preference for using automated quality metrics like BLEU and LEPOR, the SDL MT project management teams have discovered many years ago, that competent human assessments ar...