Google Labs: Books Ngram Viewer(ngrams.googlelabs.com)
ngrams.googlelabs.com
Google Labs: Books Ngram Viewer
http://ngrams.googlelabs.com/
27 comments
I'm very happy to see Google offering the ngram counts for free download (http://ngrams.googlelabs.com/datasets), which I wasn't expecting, given their earlier web corpus data release on DVDs. Maybe we'll see an update on that front, too.
Most interesting I've seen so far:
Wall Street vs Silicon Valley: http://ngrams.googlelabs.com/graph?content=wall+street,silic...
Telephone, Internet: http://ngrams.googlelabs.com/graph?content=telephone,+intern...
Microsoft, Netscape, Yahoo, Google, Facebook: http://ngrams.googlelabs.com/graph?content=Microsoft,Netscap...
Great War, Hitler, Communist, September+11: http://ngrams.googlelabs.com/graph?content=Great+War,Hitler,...
Wall Street vs Silicon Valley: http://ngrams.googlelabs.com/graph?content=wall+street,silic...
Telephone, Internet: http://ngrams.googlelabs.com/graph?content=telephone,+intern...
Microsoft, Netscape, Yahoo, Google, Facebook: http://ngrams.googlelabs.com/graph?content=Microsoft,Netscap...
Great War, Hitler, Communist, September+11: http://ngrams.googlelabs.com/graph?content=Great+War,Hitler,...
Another fun one:
terrorism,socialism,communism: http://ngrams.googlelabs.com/graph?content=terrorism%2Csocia...
terrorism,socialism,communism: http://ngrams.googlelabs.com/graph?content=terrorism%2Csocia...
What are those weird cycles in the Wall Street data ? Is that in any way related to the bubble/retraction cycle ?
Here's US GDP growth: http://www.google.com/publicdata?ds=wb-wdi&met=ny_gdp_mk...
This could be a better chart: http://en.wikipedia.org/wiki/File:GDP_growth_1923-2009.jpg
There might be some kind of relationship there, but I don't think it's the whole explanation.
This could be a better chart: http://en.wikipedia.org/wiki/File:GDP_growth_1923-2009.jpg
There might be some kind of relationship there, but I don't think it's the whole explanation.
The "long s" causes problems with OCR and may be an easy-ish fix, if someone from Google were to take a look.
http://ngrams.googlelabs.com/graph?content=fame,same&yea...
http://en.wikipedia.org/wiki/Long_s
http://ngrams.googlelabs.com/graph?content=fame,same&yea...
http://en.wikipedia.org/wiki/Long_s
I think overuse of the word "cool" might finally be heading downward. And it's interesting to see the blips in the 70's and 80's of "groovy" and "rad" respectively.
http://ngrams.googlelabs.com/graph?content=cool%2Chip%2Cgroo...
http://ngrams.googlelabs.com/graph?content=cool%2Chip%2Cgroo...
This is really fun to play with: http://goo.gl/mNSDD
It's actually case-sensitive, so here's a more accurate comparison: http://ngrams.googlelabs.com/graph?content=Christianity,Isla...
Country names/adjectives:
English,England,British,French,France,German,Germany
In most cases the adjectival form of a country tracks pretty closely to the nominal form (e.g. France vs French and others) except for the case of England vs English/British, the latter two spike from almost nothing around 1795. I can't think of a good explanation for why those two forms were so rare in comparison with "England" before 1795, anyone have an idea?
http://ngrams.googlelabs.com/graph?content=English%2CEngland...
In most cases the adjectival form of a country tracks pretty closely to the nominal form (e.g. France vs French and others) except for the case of England vs English/British, the latter two spike from almost nothing around 1795. I can't think of a good explanation for why those two forms were so rare in comparison with "England" before 1795, anyone have an idea?
http://ngrams.googlelabs.com/graph?content=English%2CEngland...
The parsing of contractions/words with apostrophes is broken/unsupported:
http://ngrams.googlelabs.com/graph?content=can%27t%2Ccouldn%... vs http://ngrams.googlelabs.com/graph?content=t%2Ccan%27t%2Ccou...
http://ngrams.googlelabs.com/graph?content=can%27t%2Ccouldn%... vs http://ngrams.googlelabs.com/graph?content=t%2Ccan%27t%2Ccou...
An interesting thing I noticed is that the usage of the word "the" has decreased by about 1% in the last century (which I think is significant considering the data). I wonder what the reason for this is.
The first thing I tried out was different 3-grams of "Colorless green ideas sleep furiously". Here are the results
http://ngrams.googlelabs.com/graph?content=Colorless+green+i...
The correlation patterns and the year where the curve picks up are interesting. It would be illuminating to map the peaks.
http://ngrams.googlelabs.com/graph?content=Colorless+green+i...
The correlation patterns and the year where the curve picks up are interesting. It would be illuminating to map the peaks.
Using American English throughout:
inflammable, flammable: http://ngrams.googlelabs.com/graph?content=inflammable%2Cfla...
regardless, irregardless: http://ngrams.googlelabs.com/graph?content=inflammable%2Cfla...
inflammable, flammable: http://ngrams.googlelabs.com/graph?content=inflammable%2Cfla...
regardless, irregardless: http://ngrams.googlelabs.com/graph?content=inflammable%2Cfla...
I love this. Here's the story of the world since 1750. The scientific revolution, followed by the industrial revolution, followed by the computer revolution, with the internet revolution just starting:
http://ngrams.googlelabs.com/graph?content=science,industria...
http://ngrams.googlelabs.com/graph?content=science,industria...
Try "war": (http://ngrams.googlelabs.com/graph?content=war&year_star...). Nice peaks on WWI, WWII, and Vietnam; maybe a tiny peak on the Gulf War. Any other search terms where you can see meaningful fluctuations?
Yes, that was a cool one.
murder: pretty cyclical and consistent rape: massive spike in the 80s and 90's, and declining a bit
fraud: blip after WW2, then pretty stable up to around 1995
nazi: interesting trends there
oil: some more interesting trends, a large spike in the early 80's
Interesting that the trends for freedom and liberty differ quite significantly, although they have some of the same 'humps'. Liberty has an uptick after 2000, whereas freedom does not.
murder: pretty cyclical and consistent rape: massive spike in the 80s and 90's, and declining a bit
fraud: blip after WW2, then pretty stable up to around 1995
nazi: interesting trends there
oil: some more interesting trends, a large spike in the early 80's
Interesting that the trends for freedom and liberty differ quite significantly, although they have some of the same 'humps'. Liberty has an uptick after 2000, whereas freedom does not.
And you didn't try War and Peace? I did. Which term occurs more often in the corpus do you reckon? Try going back to 1500. Are you surprised? How about trying Love and War for all you hippies out there. What does this all say about humanity?
is good about to triumph over bad ?http://ngrams.googlelabs.com/graph?content=angel,devil&y...
i'm surprised that "star wars" has never been able to eclipse "galoshes":
http://ngrams.googlelabs.com/graph?content=star+wars,+galosh...
http://ngrams.googlelabs.com/graph?content=star+wars,+galosh...
Someone please explain why "I love you" is cyclical???
http://ngrams.googlelabs.com/graph?content=i+love+you&ye...
http://ngrams.googlelabs.com/graph?content=i+love+you&ye...
If you remove the smoothing it looks more spiky then cyclical: http://ngrams.googlelabs.com/graph?content=i+love+you&ye...
It's possible that's more to do with the distribution of books Google has scanned than anything.
It's possible that's more to do with the distribution of books Google has scanned than anything.
WTF? Why the downvote!?
wars and birthrates
http://ngrams.googlelabs.com/graph?content=color,colour&...
Note the effects of the world wars.
Note the effects of the world wars.
quick brown fox, brown fox, slow brown fox
http://ngrams.googlelabs.com/graph?content=quick+brown+fox,b...
Am I reading that correctly: People rarely talk about brown foxes without mentioning their speed, which is never slow?
More importantly: if I wrote and published a book about a slow brown fox, could I potentially do to foxes what Chomsky did to green ideas?
http://ngrams.googlelabs.com/graph?content=quick+brown+fox,b...
Am I reading that correctly: People rarely talk about brown foxes without mentioning their speed, which is never slow?
More importantly: if I wrote and published a book about a slow brown fox, could I potentially do to foxes what Chomsky did to green ideas?
wizard,magician,Harry Potter
http://ngrams.googlelabs.com/graph?content=wizard,magician,H...
Great! It just lacks an option for case-insensitive search.
I love the "whale fail" image you get if you have an error: http://imgur.com/qCDCj
one,two,three,four,five,six,seven,eight,nine,ten
http://ngrams.googlelabs.com/graph?content=one%2Ctwo%2Cthree...
In order, except "ten" shows up between "six" and "seven".
http://ngrams.googlelabs.com/graph?content=one%2Ctwo%2Cthree...
In order, except "ten" shows up between "six" and "seven".
That's interesting, isn't it? I think this proportionality is related to a quirk of human perception. If you are shown briefly a set of objects the average person is able (at a glance) to quickly count those objects for a low value whose threshold is around six or seven. Thus when the number goes any higher the individual will respond that there were "less than ten" or "fewer than ten". Of course because humans have standardized on base 10 as there counting system then ten will get bumped up in any distribution but to predict that it would occur between six and seven (the number of man and divinity no less) would be difficult.
What about 11 to 20? Hmm, it (roughly) goes: twenty, twelve, fifteen, eleven, eighteen, fourteen, sixteen, thirteen, seventeen, nineteen! Just what I expected :)
What about 11 to 20? Hmm, it (roughly) goes: twenty, twelve, fifteen, eleven, eighteen, fourteen, sixteen, thirteen, seventeen, nineteen! Just what I expected :)
1,2,3,one,two,three
http://ngrams.googlelabs.com/graph?content=1%2C2%2C3%2Cone%2...
for a short period of time in the 80s and 90s, 1 was more popular than one, where from the 1700s through 1950s, 1 was half as popular as one ...
http://ngrams.googlelabs.com/graph?content=1%2C2%2C3%2Cone%2...
for a short period of time in the 80s and 90s, 1 was more popular than one, where from the 1700s through 1950s, 1 was half as popular as one ...
Also interesting, the 1700s were not kind to the numbers "six" or "seven":
http://ngrams.googlelabs.com/graph?content=one%2Ctwo%2Cthree...
http://ngrams.googlelabs.com/graph?content=one%2Ctwo%2Cthree...
"computer" and "internet" reveal Y2K problem.
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There has been a ginormous increase in the use of the word "ginormous" in the last decade.
Google trends for books?
Try "nerd". Like what you would expect. Now, try "sexy nerd". Sigh!
Hey Google!
Combine this with Google Sets ( from Labs as well http://labs.google.com/sets?hl=en&q1=immigration&q2=... ) so that I can feed a list generated by Sets into Ngrams.
Thanks! (And a pony too.)
Combine this with Google Sets ( from Labs as well http://labs.google.com/sets?hl=en&q1=immigration&q2=... ) so that I can feed a list generated by Sets into Ngrams.
Thanks! (And a pony too.)