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word2vecSo I made some claims in another topic that the future of programming might be intertwined with ML. I think word2vec provides some interesting evidence to this claim. From the project page:
Word Cosine distance ------------------------------------------- spain 0.678515 belgium 0.665923 netherlands 0.652428 italy 0.633130 switzerland 0.622323 luxembourg 0.610033 portugal 0.577154 russia 0.571507 germany 0.563291 catalonia 0.534176 Of course, we totally see this inferred relationship as a "type" for country (well, if you are OO inclined). Type then is related to distance in a vector space. These vectors have very interesting type-like properties that manifest as inferred analogies; consider:
I believe this could lead to some interesting augmentation in PL, in that types can then be used to find useful abstractions in a large corpus of code. But it probably requires an adjustment in how we think about types. The approach is also biased to OO types, but I would love to hear alternative interpretations. By Sean McDirmid at 2015-08-23 01:06 | LtU Forum | previous forum topic | next forum topic | other blogs | 7337 reads
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