A new paper published in PLoS ONE outlines some of the major problems with the corpus of scanned books that powers Google Ngram. “It’s so beguiling, so powerful,” says Peter Sheridan Dodds, an applied mathematician at the University of Vermont who co-authored the paper. “But I think there’s a misrepresentation of what people should expect from this corpus right now.” Here are some of the problems.

Source : The Pitfalls of Using Google Ngram to Study Language | WIRED