laserembeddings
kerning-pairs
laserembeddings | kerning-pairs | |
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2 | 2 | |
223 | 141 | |
- | - | |
0.0 | 6.1 | |
9 months ago | 20 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
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laserembeddings
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Firefox Translations doesn't use the cloud
You're pretty much right on the money. For ParaCrawl[1] (which I worked on) we used fast machine translation systems that were "good enough" to translate one side of each pair to the language of the other, see whether they'd match sufficiently, and then deal with all the false positives through various filtering methods. Other datasets I know of use multilingual sentence embeddings, like LASER[2], to compute the distance between two sentences.
Both of these methods have a bootstrapping problem, but at this point in the MT for many languages we have enough data to get started. Previous iterations of ParaCrawl used things like document structure and overlap of named entities among sentences to identify matching pairs. But this is much less robust. I don't know how they solve this problem today for low-resource languages.
[1] https://paracrawl.eu
[2] https://github.com/yannvgn/laserembeddings
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SpaCy v3.0 Released (Python Natural Language Processing)
I've been using LASER from Facebook Research via https://github.com/yannvgn/laserembeddings to accept multi-lingual input in front of the the domain-specific models for recommendations and stuff (that are trained on English annotated examples).
kerning-pairs
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Is there any auto kerning?
A lot of about Latin kerning pairs: https://github.com/andre-fuchs/kerning-pairs https://github.com/kosbarts/Basic\_Latin\_minimum\_kerning\_pairs
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My father-in-law just gave me his Leeroy k&e lettering set that he bought in the early 70s. It is a very interesting way of drawing perfect letters and I can't wait to try it out!
Re digital kerning: what you are talking about are known as 'kerning pairs' and there can be a lot of them defined for a high-quality proportional typeface.
What are some alternatives?
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