A font that reads what you wrote
rohanadwankar.github.io
rohanadwankar.github.io
And I mean this in the best possible way. It's really interesting.
There's this feeling of an intrusive forcing of something. A feeling that things don't… breathe? Feels like one already sifts out this sort of semantic weight when reading and to me the highlighting adds strange janky emotional-processing noise to the text; Uncomfortable and somewhat… dissonant?
It's really, really interesting. I hate how disparaging to the project this comes out!! my apologies for that! I LOVE the project and what it reveals about text comprehension and perception of saliency and rhythm in written text!
(† footnote: feels like this to me)
Uncaught TypeError: The specifier “semfont/analyze” was a bare specifier, but was not remapped to anything. Relative module specifiers must start with “./”, “../” or “/”.
Works in Chrome though.like
https://github.com/RoelN/SansBullshitSans https://typographica.org/typeface-reviews/chartwell/ https://github.com/trishume/numderline
which can be taken rather far
Trying it in Chrome and seeing the results I'm not sure that it is really that helpful. Has undertones of elementary school grammar lessons highlighting words in sentences.
And it made me think of the new kid in town: Jev. I wonder if Jev can do this well and quickly? Not that I'm willing to pay the tokens even to find out, but it's another neat thought.
https://archive.org/details/geronimo-stilton_202107/Creepell...
NLP font:
And on an unrelated website note: don't have a mystery toggle. If you want to offer light and dark modes: awesome, but actually say what the toggle's for either through iconography or by using text.
adding emphasis to words in unformatted text draws the reader's attention in ways that are not implied by the text itself.
you cannot figure out which word to highlight with the raw text "I didn't say he stole the money", but the semantics are completely different depending on if/where they exist.
you already have a mental model of surprise. adding visual noise to destroy what is already part of reading just makes things bad. the reason why syntax highlighting is successful is that the semantics are rigid. natural language is explicitly not that.