Calle Börstell Profile picture
Jun 9, 2019 7 tweets 3 min read Read on X
Is there any work on milk carton color #iconicity? I read a discussion online with Swedes disagreeing about the use of the word "rödmjölk" 'red milk' to mean '3% milk', because not all milk producers use the same color coding... ImageImageImageImage
Most of them seem to use a ❤️💚💙💛 palette, but with different meanings. What I believe are the 5 largest milk companies in Sweden have (3%, 1.5%, 0.5%, 0.1%):
Arla: ❤️💚💙💛
Norrmejerier: 💚❤️💛❎
Skånemejerier: 🧡💙❤️💛
Milko: ❤️💚💙❎
Falköpings: ❤️💚💙💛
So, I grew up with Arla, sometimes Milko when visiting family, both representing the middle parts of Sweden, so for me "red milk" is definitely full fat. But apparently northern- and southern-most Swedes disagree since it doesn't map to their main suppliers.
If you have a yellow one, that seems to map onto the one lowest in fat. Is this just the Berlin & Kay hierarchy but wrr milk fat markedness and/or order of product introduction?
Is the ❤️➡️💚➡️💙➡️💛 sequence more universal in color coding? The chronological order of Stockholm subway lines is 💚❤️💙💛, with yellow being planned still.
Like, is color coding for fat content even a general thing? I'm checking the Dutch ones and it seems they are basically all 💙 or 💙+💚, relying on labels to differentiate. Much easier to have them color coded! As long as you know the system, I guess 🤔
Also, the names in Swedish are:
mjölk 'milk' = 3%
mellanmjölk 'middle milk' = 1.5%
lättmjölk 'light milk' = 0.5%
minimjölk 'mini milk' = 0.1%

But in my family (and many others afaik), mellanmjölk is the default, referred to as just "mjölk", so "röd mjölk" was used to specify 3%.

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More from @c_borstell

Apr 29, 2020
Last night I was playing a little with Openpose data in #RStats. I realized it's not too hard to wrangle the Openpose output and plot signing directly using #ggplot2 and #gganimate, like so:
But I decided to make some tweaks so you can change the color of the signer+clothes, which makes seeing the hands a bit easier (contrast!)...
But also, why not give your signer a pretty turtleneck to wear?
Read 4 tweets
Apr 23, 2020
You guys know that IKEA products are basically just #Swedish words and place names, right? Walking around an IKEA store is like walking through a dictionary.

This is a script simulating the idea in Swedish and other places/languages: github.com/borstell/fakea Image
🏴󠁧󠁢󠁷󠁬󠁳󠁿 ImageImage
🇫🇮 ImageImage
Read 9 tweets
Apr 10, 2020
And version 1.1.0 already up!
> devtools::install_github("borstell/signglossR")

New stuff:
– make video examples (repeated and/or slow motion playback)!
– make GIFs!
– automatic face blurring/censoring!

Feedback welcome!

github.com/borstell/signg…
So you can now input a video and it outputs it slower and/or repeated. Here's an example of a sign for 'deaf' in STS rendered with a repeated 30% speed playback!

(Oh, and passed to the make_gif() function as well!)
And the automatic face blurring works great! Even with multiple people in the image (or, like here, multiple repetitions of the same person in one composite image)! Image
Read 4 tweets
Apr 5, 2020
So, it's like *very* easy to process and reconstruct actual images with only a few lines of code. As in plotting software redrawing the image, pixel by pixel.

Here's is a gif of me made with #ggplot2 and #gganimate. Sunday = fun day!
Like this is also #ggplot2 omg it's amazing! Image
And look! With some clever coding you can pixelate your gifs!
Read 4 tweets
Mar 27, 2020
#LinguistTwitter: What is your current level of proficiency for common notational systems in linguistic subfields?

(Polls below)

#linguistics
International Phonetic Alphabet (IPA): internationalphoneticassociation.org/sites/default/…
Leipzig Glossing Rules: eva.mpg.de/lingua/resourc…
Read 5 tweets
Mar 17, 2020
So in Swedish, some island nations/territories would mostly get the preposition "på" ('on') rather than "i" ('in').

I mapped a blog corpus search to see the relative distribution between på (red) and i (yellow). Image
Basically, "på" is preferred for the following:
🇩🇲🇫🇰🇫🇴🇬🇬🇬🇵🇬🇺🇰🇾🇸🇨🇦🇽🇮🇸🇬🇱🇨🇺🇲🇻🇲🇹🇲🇬🇯🇲🇲🇺🇦🇼🇯🇪🇫🇯🇮🇪🇧🇧🇨🇾🇧🇸🇲🇶🇬🇩🇭🇹

🇦🇶 and 🇵🇭 are slightly in favor of 'in' (52% and 68%, respectively). Rest are definitely 'in'.
"So weird that you have to know if there's water around a place to know which preposition to use" (@fbisnath 2020)

🤷‍♂️
Read 4 tweets

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