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Personally I'm curious about training a model to predict Cyrillic or Greek letterforms from Latin ones to boost multilingual coverage. I'm sure there are some l
by efskap 6y ago
Personally I'm curious about training a model to predict Cyrillic or Greek letterforms from Latin ones to boost multilingual coverage. I'm sure there are some learnable relationships there like Я <=> R or И <=> H.
- lunixbochs 6y agoVery interesting! Well, I'm playing with the concept a bit now. Currently writing a skia client to generate glyph SDFs as images so I can just use pytorch.
- wwwwewwww 6y agoI can't tell the relationship in your example. Do you mean relationship in terms of appearance or pronunciation? Я maps to "ya" sound in Russian, И is "ee" and Н is "N" in Russian and "ee" in modern Greek but in ancient Greek it's something like "e" in "bed" in American English.
- efskap 6y agoAppearance. I'm just talking about typefaces - absolutely nothing to do with pronunciation. Some fonts do not have Cyrillic glyphs. If they could be generated by an adequately trained model based on the other glyphs, then that font's multilingual coverage could expand automatically.
- wwwwewwww 6y agoI get it now. That's interesting - generating missing letterforms!
- necovek 6y agoGP likely meant the relationship in appearance: the two examples have Cyrillic glyphs closely resemble mirrored outlines of the Latin glyphs.