Browsing Category : NMT

Data Grooming for Machine Translation

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Preparing training data for Machine Translation (MT) by using data grooming can seem like a mammoth task. And there is some truth to this. In practice, the huge variety of “contaminations” in training data plus high training data volumes can pose real challenges. This blog discusses why grooming is still a worthwhile investment and how automation can help save a lot of time and effort.
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Scoping – From Vision to Machine Translation

Scoping – From Vision to Machine Translation
"We'll just buy a good machine translation system and everyone can just use that!" This is pretty much what corporate management sounds like for translation managers when it comes to introducing machine translation. However, prior to implementing such a tool, the risks and complexity of introducing MT should be assessed carefully. For our customers, this is where scoping has proven its worth. What this means and how scoping should be carried out in a company is the subject of my blog.
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