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Τοπάζ Αλαιν Φογτια Αννα Εμιλια

@mhoye @XaiaX > spicy autocomplete

huh, nah the topic here is text classification, which is similar to text prediction (and there is probably a way to use Huffman tables to produce suggestions, etc.), but not the same.

> So, maybe a wikipedia dump and a gutenberg mirror is plenty?

probably yes. (imo coolest would be producing a tool that could both classify and predict using the same infrastructure (light preprocessed large text dumps (<10GiB), massive improvement)

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mhoye

@fogti @XaiaX I'm a bit more interested in predictive text tools that give you stylistic nudges towards artists you admire, and finding a way to get artists paid for that. Smart autocomplete/smart fill tools that answer, "what might Degas have done right here?"

Τοπάζ Αλαιν Φογτια Αννα Εμιλια

@mhoye @XaiaX interesting thing is that it is probably *much* easier to simultaneously get the information for text completion *and* also what authors were involved in that match (instead of a large pool of authors just the relevant subset). [in the case of these compression-decompression + reference dataset models]

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