Custom Neural Machine Translation Engines (CNMTEs) are built specifically for clients that have a large volume of translations in a specific domain (i.e., content vertical). These custom engines can be a significant asset to any organization that needs to translate a large volume of highly specialized content.
Machine Translation Machine translation (MT) involves the use of computers and software programs to generate translated output. This technology has evolved to a point where,
I don’t think I’ll ever forget one of the first times I used Google translate when I wrote the name James Bond in the English>Spanish
When quoting a text for a translation there are many variables to consider, for example the number of words, the subject of the text, preparation
Everyday, our industry becomes more and more competitive. Whether it be linguists competing for smaller projects, or agencies with large teams competing for larger ones,
I apologize if my title sounds a bit informal, but if we pick up where we left off last time, we may delve further, deeper,
Major corporations like Google or Amazon invest millions of dollars a year in developing machine translation (MT) technology. This could expand MT’s capabilities and its
Everybody knows that there are three main drivers when it comes to a translation project: time, cost, and quality. These drivers counter and offset each
On our previous article we pondered about the main drivers in the translation industry (cost, time and quality) and how, as if it were affected
Translations connect people and cultures around the world. Many people study languages because they would like to travel somewhere, whether near or far, and want
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