This article is partially a response to a blog posting “Why the Google Translate Widget Hurts Your Brand“. The message of that posting can be expressed also in more general terms: Why machine translation (MT) hurts your brand?
However, real-life examples show that companies and well known brands like eBay, Microsoft and TripAdvisor do not think that MT hurts their brands. Continue reading Using Machine Translation Does Not Hurt Your Brand When You Know What You Do
The chances of machine translation (MT) quality improving more quickly in the near future have improved. Some time ago we wrote that according to our MT quality research the MT improvement has stalled in some languages. However, the situation is changing and we might very well be already experiencing a considerable improvement in MT quality. Continue reading We May Soon Get Better Machine Translation Quality
Localization is an investment for the future. Like with all investments, costs of a localization project are paid today and benefits will be realized tomorrow. In the context of localization, this means both new foreign customers and lower costs on customer support and service in the future. Continue reading Localization Now Will Save Your Money Later
This is a guest post by Robert Morgan.
The relationship between good communication and body language is an interesting and complicated subject but one that is often overlooked and misunderstood. I’d firstly like to share a personal example of how an ineffective combination of these two factors makes verbal translation and interpretation a near impossible task. Continue reading Good Communication Usually Means a Good Translation
Machine translators are technologies developed by software engineers and developers. Machine translators are tools used by wide range of people, from ordinary people to translation professionals. All these stakeholders have different goals and wishes for the technology. Despite all the technical difficulties, these conflicting goals might just be the biggest challenge of the industry. Continue reading The Conflicting Goals for Machine Translation