September 2017 | By Michael Oettli 

Cleaning up and harmonizing your translation memory

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

September 2017 | By Roland Meertens 

Natural language processing: Understanding human meaning

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...

September 2017 | By Arle Lommel 

Neural machine translation offers significant advances with remaining challenges

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...

August 2017 | By Eyvor Fogarty 

Promoting the language industry: Meet the LIND Expert Group

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...

July 2017 | Text by Daniel Malament and Afaf Steiert 

To certify or not: Staying competitive as a small LSP

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...

June 2017 | By Rebecca Ray 

Get ready for multilingual wearables!

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...

June 2017 | By Konstantin Dranch 

What Big Data can tell us about the translation industry

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...