The 3 Models of Crowdsourced Translation

What do Wordpress, Linux, and Firefox all have in common? All of these successful projects are the result of crowdsourced contributions. As the Internet continues to connect us, collaborating on projects has become easier than ever. Even in the localization industry, crowdsourced translation solutions are helping to make translation services available to everyone and the advent of new technologies has brought about a few different methods of collaborative translation projects. Let’s take a look at three of the most popular models of crowdsourced translations.

The Pitfalls of Translation Memory

Translation Memory (TM) is a database that stores language “segments” (phrases, clauses, headings, etc.) that you or your company has translated. As you continue translating documents, the database offers up translation suggestions based on those stored segments.

How Translation Memory Works - Simply CSOFT

A Look At How Translation Memory Works

Translation memory is an important tool in the modern translator’s toolkit, and one that is currently the focus of a great deal of discussion in the translation and localization community. Simply put, translation memory is a type of shared database that stores translations and continually updates itself as its users work.

Top Translation Memory Vendors and their Stories - Simply CSOFT

3 Ways Translation Memory Benefits Businesses

What is TM and why does it always come up when talking about translation services? Known as translation memory, TM first commercially appeared in the early 1990s and has since played a crucial role in translation efficiency and helping businesses go global. Translation memory is essentially a linguistic database that stores previously translated sentences, phrases, and words into a system that allows translators to translate content more efficiently and consistently across projects.

Machine Translation: How Does It Work?

Machine Translation (or MT) is the ability of a computer to translate and render one language into another, without human contribution. We look a little deeper into Machine Translations different classification and types.

A Company that has Utilized MT for Big Success

In this case study we find out about companies that have utilized machine translation for great success in the translation industry.

Machine Translation Companies That Have Made It Big

Many of the ideas underlying machine translation (MT) have been around for hundreds of years, but it wasn’t until the middle of the last century that the field of “machine translation” truly came into being.

5 Limitations of Machine Translation

It is hard to ignore the increasing prevalence of machine translation, as technology in the translation industry is constantly optimizing. It also must be accepted that machine translation is now vital to the translation industry and a big part of its future.

What is the Future of Translation?

Even when human societies first tentatively interacted with each other, there were instances of interpretation and translation. Reasons such as trade and diplomacy between nations and societies were important early engines behind the refinement of translation practices, and the urge to better understand other viewpoints all involved different kinds of evolving methods.

3 Key Benefits of Machine Translation

Machine translation as a concept has come a long way since it was initially tested over 60 years ago. It was originally suggested as a method for the US government to monitor Russian activities after World War 2; now it has developed into something that has transformed the translation industry entirely.

Things Every Company Should Do in 2017

The turn of the year is upon us, and that means it’s time to reflect not only on what we’ve done this year, but also on what 2017 has to offer us. To make the most out of 2017 for your business, consider these tips when planning your business goals for next year:

Language Technology