Inconsistent, polluted translation memories? It might be time for a TM spring cleaning. Here is how you will achieve the best results. read more...

In only a few years, embeddings have changed the world of natural language processing. How far have we come in teaching an artificial brain to understand natural language?read more...

No shift in machine translation technology has progressed quite as rapidly as the latest hype: neural machine translation. But is it really as promising as the reports make out?read more...

LIND is an expert group running under the aegis of the Directorate-General Translation of the EU. LIND members come from all branches of the translation industry and their meetings focus on direct experience, lateral thinking and productive output.read more...

Is being part of the national certification association paramount to success? Will ISO certification guarantee business growth? Here is what you should consider before investing time and money in standard certification.read more...

Approximately 325 million wearable devices are connected to the Internet, with more added every day. While the iPhone and Android platforms were designed as multilingual from the start, that isn't always the case for wearables. This gives localization teams the opportunity to offer their multilingual expertise early in the design and development phases for these products.read more...

The rapid adoption of cloud-based translation tools, which aggregate usage statistics across thousands of organizations and translators, is producing Big Data for the translation industry. With the help of this Big Data, we can benchmark productivity, identify industry trends, and train machine intelligence. read more...