Dave in 🏴󠁧󠁢󠁳󠁣󠁴󠁿

@_dmh
483 Followers
656 Following
3K Posts

Computational linguist specializing in #NaturalLanguageGeneration with an interest in linguistic complexity.

Advanced Research Fellow at #UniversityOfAberdeen, living in #Edinburgh

Publishing under David M. Howcroft

More personal at @_dmh

websitehttps://davehowcroft.com/
pronounsthey/them
languagesen, de, fr, sv, gd, jp
ORCiDhttps://orcid.org/0000-0002-0810-9065

Do you work for a public transport company in Europe (or anywhere else in the world for that matter)? The EU wants to hear from you!

As part of a project to create a unified standard for public transport ticketing across Europe, allowing a single ticket to be sold from anywhere to anywhere, we'd like to collect as much information as possible on what transport products currently exists. With enough information, we hope to be able to write a standard that covers every edge case.

If you'd like to help us, you can download our questionnaire here. More information: https://bt4pt.eu

Please boost and share!

Update: I am going to mark this as resolved. Fedi, you have once again impressed me beyond even my already very high expectations of you all. Thank you so much! <3

#Linguistics #Linguists !

Linguistics people, I desperately need your help! I am trying to find work on the semantics of sentences which make cross-domain comparisons. For example:

"She is a good lawyer but an even better philosopher."

"I love you more than I love pizza."

"I'm much better at pretending I understand you than I am at actually understanding you."

Even just know the name of these damn things would be incredibly useful, but if there's serious work on the semantics and pragmatics of them, it could be immensely helpful to me.

#philosophy #linguistics #academicchatter

"Hastings Museum had an LGBT history exhibit and there was a bit on a trans guy and a cis woman who married in 1954 that I found moving"

-- via tarabomp.bsky.social

Sharing because this is smashing.  

#Trans #TransMasc #LGBTQ

Just launched at Public Spaces in Amsterdam, The European Social Stack Open Declaration! A set of common principles agreed by complementary technology leaders 🫶 Read the declaration, add your signature, and share: european.social #EUSocialStack #Europe
Really enjoying the first day of #RetroEval here in Aberdeen :D

AI Don't Wanna Go Anymore, Picturesidrawn, Digital, 2026

#Art #DigitalArt

I’m deeply uncomfortable with Microsoft attempting to weaponise their extensive law enforcement contacts to arrest people who post zero days in the products.

It comes after the researcher was kicked off GitHub (owned by Microsoft), Gitlab (a Microsoft partner), after they were doxxed on Twitter and had their MSRC - Microsoft vulnerability reporting portal - account disabled.

https://www.microsoft.com/en-us/msrc/blog/2026/05/a-shared-responsibility-protecting-customers-through-coordinated-vulnerability-disclosure

"U.S. forces deployed to war zones have ​been targeted using commercially available location data"

Just like I, @johnnyryan and others warned.

US Senator Wyden says it's time to "start treating the adtech industry as a national security threat". Agreed.
https://www.reuters.com/business/media-telecom/pentagon-says-us-military-personnel-are-reportedly-being-targeted-using-location-2026-05-28/

“No, it’s not ‘normal’ for humans to be in competition all the time.

It’s not normal to work for most of your waking hours of the day.

It’s not normal to be stressed 24/7.

Stop taking a few hundred years of capitalism and pretending that’s just how being human is. It’s not.”

A fancy model won’t magically compensate for poor understanding of your data.

A VERY common mistake in data analysis is jumping to complex solutions too early. AI has made this even easier by making sophisticated tools extremely accessible.

Sometimes, a linear model or a PCA already tells you most of the story.

Complexity has its place.
But using it too early often masks problems instead of solving them.

Often, the real bottleneck is not the model.
It’s how little we understand our data.