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winety

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winety
·vor 2 Jahren·discuss
Wild piglets are very cute [1], adult wild pigs less so [2].

[1]: https://commons.wikimedia.org/wiki/File:20180429-155847_Fris... [2]: https://commons.wikimedia.org/wiki/File:Ausgewachsenes_Wilds...
winety
·vor 2 Jahren·discuss
I'd say: Spacing matters, f(1,2) is different from f(1, 2). Just use a semicolon to separate the numbers, e.g. f(1,2; 2).
winety
·vor 3 Jahren·discuss
You could and that's basically what TeX does, just without the CSS. There are even typesetting systems similar to (La)TeX, that can take XML as input, see Context [1] or Sile [2]. They’re just a step away from using HTML + CSS. Why isn’t there such system? I do not know.

[1]: https://wiki.contextgarden.net/XML

[2]: https://sile-typesetter.org/
winety
·vor 3 Jahren·discuss
It’s crazy, and that’s why hyphenation doesn’t really work that way. Both TeX and web browsers use Liang’s algorithm to split words. [1] It uses so-called patterns, which are short substrings of words in which numbers indicate how to divide the word. For example, the pattern “s1h” indicates that in the word “fishing”, a divider can be inserted between “s” and “h”. Patterns compete and can override each other, and the whole thing is quite complicated. As for your example with Qishan — the “s-h” probably overrides the “i-s” pattern. (There have been a number of articles in TeX journals that explain the algorithm, such as [2].)

In CSS, automatic hyphenation must be explicitly turned on, see [3].

In TeX and in CSS, hyphenation points can be marked explicitly: in TeX with the \- macro and in CSS with the ­ or U+00AD character. In TeX you can also override the automatic division with \hyphenation{}.

The splitting algorithm in CSS is worse than the one in TeX, because it has to work in real time and because (good) splitting patterns are often missing.

[1]: https://www.tug.org/docs/liang/

[2]: https://www.fi.muni.cz/usr/sojka/papers/euro01.pdf

[3]: https://developer.mozilla.org/en-US/docs/Web/CSS/hyphens
winety
·vor 4 Jahren·discuss
> There is a problem because some licenses require attribution, but ignoring that...

Surely the solution would be to give credit to every author from the training corpus. I am looking forward to the 10 000 lines of copyrights in every header. :P

If Microsoft had trained it on its own code, there would be no such problems. Surely a company as large as Microsoft has produced enough code over the years to create a large enough training dataset.