#apertium @ OFTC stats by TinoDidriksen

Statistics generated on Thursday 9 April 2026 - 0:06:39
During this 28-day reporting period, a total of 9 different nicks were represented on #apertium.


Most active times
1.3%
6
2.7%
13
1.1%
5
1.5%
7
3.2%
15
2.5%
12
3.8%
18
2.3%
11
2.5%
12
2.1%
10
3.4%
16
3.6%
17
5.1%
24
8.0%
38
6.7%
32
12.6%
60
14.3%
68
3.8%
18
6.1%
29
4.6%
22
3.8%
18
1.5%
7
1.1%
5
1.9%
9
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
0-5 = 0-5 6-11 = 6-11 12-17 = 12-17 18-23 = 18-23

Most active nicks
 NickNumber of linesWhen?Number of WordsLast seenRandom quote
1 dangswan7754239212 days ago"and 2025 had 2400 submissions"
2 firespeaker545437615 days ago"yeah and this is meant to fix that :D"
3 Unhammer10461132 days ago"https://nikomatsakis.github.io/rust-project-perspectives-on-ai..."
4 TinoDidriksen74121318 days ago"Wait, no, I eliminated that duality a while ago..."
5 reynoldsnlp6612815 days ago"dangswan: Seeing your posts about generating CG rules has piqu..."
6 ShivaNallela[m]445623 days ago"Hello everyone,"
7 rueter22253 days ago"begiak: any messages"
8 selimcan111721 days ago"I guess at next gsoc it will be students' AI agents talking to..."
9 JackMRueter11133 days ago"Hi, TinoDidriksen: after install-nightly on mac sanoma,... (fu..."


Big numbers
Is firespeaker stupid or just asking too many questions? 14.8% lines contained a question!
dangswan didn't know that much either. 6.5% of his/her lines were questions.
The loudest one was firespeaker, who yelled 1.9% of the time!
Everybody had their shift-key under control. :)
Nobody beat anyone up. Everybody was friendly.
Unhammer brings happiness to the world. 10.0% lines contained smiling faces. :)
firespeaker isn't a sad person either, smiling 3.7% of the time.
Unhammer seems to be sad at the moment: 20.0% lines contained sad faces. :(
dangswan is also a sad person, crying 1.3% of the time.
Unhammer wrote the longest lines, averaging 78.5 letters per line.
#apertium average was 68.4 letters per line.
firespeaker wrote the shortest lines, averaging 42.8 characters per line.
dangswan was tight-lipped, too, averaging 70.8 characters.
dangswan spoke a total of 921 words!
dangswan's faithful follower, firespeaker, didn't speak so much: 376 words.
reynoldsnlp wrote an average of 21.33 words per line.
Channel average was 10.99 words per line.

Most used words
 Word Number of Uses Last Used by
1 submissions 4 dangswan
2 still 4 firespeaker
3 different 3 dangswan
4 turing 3 dangswan

Most referenced URLs
 URL Number of Uses Last Used by
1 https://nikomatsakis.github.io/rust-project-perspectives-on- 1 Unhammer
2 https://i.imgur.com/61SHZgV.png 1 Unhammer
3 https://ep.liu.se/ecp/140/001/ecp17140001.pdf 1 reynoldsnlp
4 https://matrix.org/oftc/media/v1/media/download/Ac6r_jn7Dpl2 1 JackMRueter
5 https://github.com/apertium/apertium-eng-kir/blob/master/Mak 1 dangswan
6 https://www.themoscowtimes.com/2026/03/23/russias-new-law-re 1 reynoldsnlp
7 https://arxiv.org/abs/cmp-lg/9604001 1 dangswan
8 https://arxiv.org/pdf/cmp-lg/9607002 1 dangswan
9 https://friendlybit.com/python/writing-justhtml-with-coding- 1 reynoldsnlp
10 https://wikis.swarthmore.edu/ling073/Lexical_transfer#Person 1 firespeaker
11 https://arxiv.org/pdf/cmp-lg/9510001 1 dangswan
12 https://edu.visl.dk/CG-workshop2017_kokke_listenmaa.pdf 1 dangswan
13 https://aclanthology.org/P98-2128.pdf 1 dangswan

Other interesting numbers
Nice opers here, no one got kicked!
Strange, no op was given on #apertium!
Wow, no op was taken on #apertium!
dangswan always lets us know what he/she's doing: 1 actions!
For example, like this:
     * dangswan realizes that he should probably link to his code in his dissertation and that the repo contains dozens of python scripts whose names are just version numbers
firespeaker talks to him/herself a lot. He/She wrote over 5 lines in a row 3 times!
Another lonely one was dangswan, who managed to hit 3 times.
Nobody is foul-mouthed in #apertium! Get out much?

Latest Topics
A topic was never set on this channel.
Total number of lines: 475.