Here, Scholarcy takes a long review paper on modelling language typologies with machine learning and summarises the paper for you, highlighting some of the main points of the paper and linking you directly to the cited sources.
While this is no replacement for reading the whole paper, it does provide a useful overview, beyond the abstract, and gives you the key take-home points.
Scholarcy: research in a nutshell
Has laoreet percipitur ad. Vide interesset in mei, no his legimus verterem. Et nostrum imperdiet appellantur usu, mnesarchum referrentur id vim.
0 comments:
Post a Comment