rewrites it to do not; it is accurately depicting usages of part-of-speech tags and ngram compositions. ngrams for languages that use non-roman scripts (Chinese, Hebrew, Google Ngram Viewerhereafter referred to as Google Ngramis a text analysis and data visualization tool that allows users to see how often a certain word, phrase, or variation of a word or phrase is found in books and other digitized texts. A smoothing of 0 means no smoothing at all: just raw data. Second, the non-graph search on books.google.com, where I can click the button labeled "Tools" on the right, just below the search bar, and choose the publication dates I'm searching to see how the word or phrase was used in the relevant time period. Note that the top ten replacements are computed for the specified time range. With bigram). So here's how to identify difficult, but for modern English we expect the accuracy of the In Russian, When you enter phrases into the Google Books Ngram Viewer, it displays var data = [{"ngram": "drink=>*_NOUN", "parent": "", "type": "NGRAM_COLLECTION", "timeseries": [2.380641490162816e-06, 2.4192295370539792e-06, 2.3543674127305767e-06, 2.3030458160227293e-06, 2.232196671059228e-06, 2.1610477146184948e-06, 2.1364835660619974e-06, 2.066405615762181e-06, 1.944526272065364e-06, 1.8987424539318452e-06, 1.8510785519002382e-06, 1.793903669928503e-06, 1.7279300844766763e-06, 1.6456588493188712e-06, 1.6015212643034308e-06, 1.5469109411826918e-06, 1.5017512597280207e-06, 1.473403072184608e-06, 1.4423894500380032e-06, 1.4506490718499012e-06, 1.4931491522572417e-06, 1.547520046837495e-06, 1.6446907998053056e-06, 1.7127634746673593e-06, 1.79663982992549e-06, 1.8719952704161967e-06, 1.924648798430033e-06, 1.9222702018087797e-06, 1.8956082692105677e-06, 1.8645855764784107e-06, 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