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I recommend The Corpus of Contemporary American English (and for BrE its sister the British National Corpus). It's a very powerful tool, supporting wildcards, part of speech tagging, grouping by le...
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#3: Attribution notice added
by
System
·
2019-12-08T13:15:09Z (almost 5 years ago)
Source: https://writers.stackexchange.com/a/49032 License name: CC BY-SA 4.0 License URL: https://creativecommons.org/licenses/by-sa/4.0/
#2: Initial revision
by
Laurel
·
2019-12-08T13:15:09Z (almost 5 years ago)
I recommend The [Corpus of Contemporary American English](https://www.english-corpora.org/coca/) (and for BrE its sister the [British National Corpus](https://www.english-corpora.org/bnc/)). It's a very powerful tool, supporting wildcards, part of speech tagging, grouping by lemma (e.g. _dies_, _dying_, and _died_ can all be grouped with _die_), and the ability to see the context of what texts matched. As an aside I'll note that I don't like [using Google NGrams for dialects](https://books.google.com/ngrams/graph?content=colour%3Aeng_us_2012%2Ccolour%3Aeng_gb_2012%2Ccolor%3Aeng_us_2012%2Ccolor%3Aeng_gb_2012&year_start=1800&year_end=2000&corpus=15&smoothing=3&share=&direct_url=t1%3B%2Ccolour%3Aeng_us_2012%3B%2Cc0%3B.t1%3B%2Ccolour%3Aeng_gb_2012%3B%2Cc0%3B.t1%3B%2Ccolor%3Aeng_us_2012%3B%2Cc0%3B.t1%3B%2Ccolor%3Aeng_gb_2012%3B%2Cc0#t1%3B%2Ccolour%3Aeng_us_2012%3B%2Cc0%3B.t1%3B%2Ccolour%3Aeng_gb_2012%3B%2Cc0%3B.t1%3B%2Ccolor%3Aeng_us_2012%3B%2Cc0%3B.t1%3B%2Ccolor%3Aeng_gb_2012%3B%2Cc0), since they classify texts based on where they were published (and probably sometimes the classification is just wrong, as I clearly see all too often with dates), leading to a pretty big amount of error in my experience. I explain more about that [here](https://english.meta.stackexchange.com/a/10334/191178).
#1: Imported from external source
by
System
·
2019-11-22T17:29:29Z (almost 5 years ago)
Original score: 4