When considering whether to upgrade the #segmentation rules used by a #translation environment tool, it may be helpful to examine certain text structure occurrences in:

* a large document or
* a TMX file (which #memoQ can import as a "translation document")

Typically, these structures are a period (".") followed by a space, in turn followed by a capital letter, a number or a symbol. There are, of course, other relevant cases which can be defined, but I think these are the most common.

That can be expressed in regex by:

\.\s(\p{S}|\p{N}|\p{Lu})

Try filtering with that #regex and see if you find any useful segments for testing!

https://transtrib-tech.teachable.com/courses/memoq-resource-camp/lectures/49600826

Les retraites, mais comment ? #chômage #travail #emploi #segmentation #précarisation autant de déterminations évoquées par un texte sur le mouvement contre la réforme des #retraites de 2010 https://www.sicjournal.org/le-mouvement-contre-la-reforme-des-retraites-en-france-automne-2010-2/

Here's a short video I did a few years ago showing how to adapt exported #memoQ #segmentation rules to work with other language variants. As is so often the case, I forgot that I made this until I discovered it again as I did a search to find a graphic to accompany an explanation I was preparing of the same thing for Thursday's workshop.

https://youtu.be/AGMHZCuCECw

As is mastodon tradition, time for an intro.
I'm a prof in McGill’s FoM (Depts Neurology & Neurosurgery / #BME). My lab (nist.mni.mcgill.ca) at #TheNeuro builds #opensoftware for image #registration and #segmentation. We characterize #brain structures over time in healthy people, and in patients with disease in #neurology and #neuroscience. In #neurosurgery, we develop tools for image guided surgery with #AR using #ultrasound to account for brain shift. Looking forward to hearing from you.