“What’s in a name? That which we call a rose
By any other name would smell as sweet.”
In Shakespeare’s soliloquy, Romeo and Juliet, Juliet isn’t allowed to be with Romeo because his family name is Montague… sworn enemies of the Capulet family. Of course she doesn’t care about his name, he’d still be everything she wanted irrespective of what he was called. The rose would still smell as sweet irrespective of what it was called. “Trados”, “SDL” and “RWS” have endured, or enjoyed, a feuding history as competitors in the same industry. Our names are our brand and now that they’re changing do we still smell as sweet? Sadly things don’t end well for poor Romeo and Juliet… but in our story we fare a little better!
“The badass is an uncommon man of supreme style. He does what he wants, when he wants, where he wants.” (
AdaptiveMT was released with Studio 2017 introducing the ability for users to adapt the SDL Language Cloud machine translation with their own preferred style on the fly. Potentially this is a really powerful feature since it means that over time you should be able to improve the results you see from your SDL Language Cloud machine translation and reduce the amount of post editing you have to do. But in order to be able to release this potential you need to know a few things about getting started. Once you get started you may also wonder what the analysis results are referring to when you see values appearing against the AdaptiveMT rows in your Studio analysis report. So in this article I want to try and walk through the things you need to know from start to finish… quite a long article but I tried to cover the things I see people asking about so I hope it’s useful.
I don’t know if you can recall these games from when you were a kid? I used to spend hours trying to find all the differences between the image on the left and the one on the right. I never once thought how that might become a useful skill in later life… although in some cases it’s a skill I’d rather not have to develop!
In the last year or so I’ve had the pleasure of watching 
The AutoSuggest feature in Studio has been around since the launch of Studio 2009 and based on the questions I see from time to time I think it’s a feature that could use a little explanation on what it’s all about. In simple terms it’s a mechanism for prompting you as you type with suggested target text that is based on the source text of the document you are translating. So sometimes it might be a translation of some or all of the text in the source segment, and sometimes it might be providing an easy way to replicate the source text into the target. This is done by you entering a character via the keyboard and then Studio suggests suitable text that can be applied with a single keystroke. In terms of productivity this is a great feature and given how many other translation tools have copied this in one form or another I think it’s clear it really works too!
Best practice! This is a phrase I’ve had a love/hate relationship with over the course of my entire career… or maybe it’s just a love to hate! The phrase is something that should perhaps be called “Best Suggestions” and not “Best Practice” because all too often I think it’s used to describe the way someone wants you to work as opposed to anything that represents the views of a majority of users over a long period of time, or anything that takes account the way different people want to work. In fact with new technology how can it be “Best Practice” when it hasn’t been around long enough in the first place? I think for a clearly defined and well established process then “Best Practice” has it’s place… but otherwise it’s often the easy answer to a more complex problem, or just a problem that is considered too hard to address.
I believe this interesting quote can be found in “Prometheus Bound”, a play by a Greek dramatist called Aeschylus. I haven’t read the play, but I like the quote, and it certainly lends itself to the importance of memory… even when we refer to a Translation Memory rather than your own built in capability. It’s because your Translation Memory is such an important asset to you that you need to regularly maintain it, and also reuse it wherever possible to expand the benefits you get from it.