The term localization, defined as “the process of adapting a product (such as a software program, website etc.) to the language and culture of a particular region” in TERMIUM Plus®, appeared with the creation of the first computers. As the world becomes more and more digitalized, needs for localization and qualified localization translators keep growing. The process generally goes further than a “basic” translation and requires a specific set of skills from the linguist.
For many people, their first exposure to Machine Translation (MT) came through Google’s automated engine. For years, Google Translate has been at the forefront of free, widely available machine translation technology. It also has a reputation. Some will (perhaps justifiably) say the results are never good enough for publication. Others, after comparing throughputs from different engines, will conclude that Google’s is among the most efficient machine translation engine. In the world of machine translation, however, efficiency does not equate to publishable quality. If you have content requiring translation and are wondering whether machine translation is suitable, this blog will help you discover which approach to machine translation would best fit your needs.
I must admit that I'm not the biggest fan of distance courses because I like the feeling of sitting in a classroom - even those where the desks are not so comfortable! I feel pleasure in being in a classroom, seeing the students side by side, whispering softly to each other so as not to disturb the teacher. However, despite being a huge fan of the traditional classes, I have become an even bigger fan of eLearning courses.
I have been in the localization industry now for over 18 years. Starting as a Localization Engineer and working my way down the ladder (no jokes around snakes please) to sales. In the early days engineers and translators rarely worked closely together, my knowledge of professional translation was limited to sending out text and putting it back in the right place once it was translated.
There is no denying that MT (machine translation) has become a cornerstone of localization as clients demand faster turnaround times, better connectivity, and increased accuracy. MT is becoming another tool in the toolbox for translation services providers.
The recent advent of neural machine translation (NMT) surely leaves some companies wondering how, exactly, does this technology enables LSP (Language Service Providers) to deliver faster, better and more accurate translations. Read on to learn how.
If this is the first time you have to procure Translation Services, either because you are new to procurement or translation, or because you are a stakeholder in the process, read on, you might find this blog of interest!
In the country with the most residents on earth, people are spending more and more money. Today 56 percent of all Chinese are using the Internet. According to a study by McKinsey, the middle class alone will grow to about 400 million people by 2020. This new driving force will have an enormous impact on the global economy.
Have you already considered the potential of the Chinese market?
So, you have some files which need to be translated into one or more languages and you’ve sent them to your Translation Services provider. Are you curious about how those files are evaluated to determine the time and effort needed to localize them?
At SimulTrans, we are happy to have achieved a 97% customer satisfaction rating for 2017. So, what are the drivers behind achieving and maintaining this high score?