How to compare frequency of word use over time between British and American English?
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Google Ngram viewer allows one to compare the frequencies of a set of phrases over time. It even allows you to restrict that comparison to an American corpus, or separately to an English one.
What I am wondering if there is any way to compare the frequency of one word/phrase over time between American and English? Either through Google Ngram or something else. I couldn't really find anything on google (itself or by using it).
dialects comparison
add a comment |
up vote
7
down vote
favorite
Google Ngram viewer allows one to compare the frequencies of a set of phrases over time. It even allows you to restrict that comparison to an American corpus, or separately to an English one.
What I am wondering if there is any way to compare the frequency of one word/phrase over time between American and English? Either through Google Ngram or something else. I couldn't really find anything on google (itself or by using it).
dialects comparison
4
There's a scale. You can do two Ngrams and look at the numbers on the left. I don't know whether there's any software clever enough to combine them.
– Peter Shor
Jun 20 '11 at 23:25
@PeterShor NGrams added a while ago specifying the corpus in a single query so you can compare side by side (see my new answer)
– Mitch
Jun 8 '15 at 19:49
add a comment |
up vote
7
down vote
favorite
up vote
7
down vote
favorite
Google Ngram viewer allows one to compare the frequencies of a set of phrases over time. It even allows you to restrict that comparison to an American corpus, or separately to an English one.
What I am wondering if there is any way to compare the frequency of one word/phrase over time between American and English? Either through Google Ngram or something else. I couldn't really find anything on google (itself or by using it).
dialects comparison
Google Ngram viewer allows one to compare the frequencies of a set of phrases over time. It even allows you to restrict that comparison to an American corpus, or separately to an English one.
What I am wondering if there is any way to compare the frequency of one word/phrase over time between American and English? Either through Google Ngram or something else. I couldn't really find anything on google (itself or by using it).
dialects comparison
dialects comparison
asked Jun 20 '11 at 22:36
Mitch
49.4k1599206
49.4k1599206
4
There's a scale. You can do two Ngrams and look at the numbers on the left. I don't know whether there's any software clever enough to combine them.
– Peter Shor
Jun 20 '11 at 23:25
@PeterShor NGrams added a while ago specifying the corpus in a single query so you can compare side by side (see my new answer)
– Mitch
Jun 8 '15 at 19:49
add a comment |
4
There's a scale. You can do two Ngrams and look at the numbers on the left. I don't know whether there's any software clever enough to combine them.
– Peter Shor
Jun 20 '11 at 23:25
@PeterShor NGrams added a while ago specifying the corpus in a single query so you can compare side by side (see my new answer)
– Mitch
Jun 8 '15 at 19:49
4
4
There's a scale. You can do two Ngrams and look at the numbers on the left. I don't know whether there's any software clever enough to combine them.
– Peter Shor
Jun 20 '11 at 23:25
There's a scale. You can do two Ngrams and look at the numbers on the left. I don't know whether there's any software clever enough to combine them.
– Peter Shor
Jun 20 '11 at 23:25
@PeterShor NGrams added a while ago specifying the corpus in a single query so you can compare side by side (see my new answer)
– Mitch
Jun 8 '15 at 19:49
@PeterShor NGrams added a while ago specifying the corpus in a single query so you can compare side by side (see my new answer)
– Mitch
Jun 8 '15 at 19:49
add a comment |
3 Answers
3
active
oldest
votes
up vote
6
down vote
accepted
On Google's Ngram viewer you can set the corpus to be American English or British English, and get a graph for each. You can then compare the y-axis values, being careful to note that Google autoscales it.
For example: American English and British English.
You can also download the datasets of each corpus if you'd like to do your own data processing.
2
But we mustn't forget that nGrams is a record drawn only from printed books. No newspapers, no magazines and, most importantly of all, no speech.
– Barrie England
Jan 8 '12 at 10:21
@Barrie: Well, some newspapers and magazines have been re-published in books, and some are included, but you make a good point.
– Hugo
Jan 8 '12 at 10:32
add a comment |
up vote
2
down vote
one solution is to compare frequencies in COCA (AmE) to those in BNC (British). You'll have to account for the size of the corpus as the 'denominator' though.
Google NGrams allows specifying as tags the corpus American or British. For example
appropriation:eng_us_2012, appropriation:eng_gb_2012
will graph 'appropriation' over time for their American corpus against their British corpus. This isn't terribly recent (there's lots more new functionality there too) but it is slightly more recent than the time of the original question. All the usual caveats about using NGrams still apply (OCR, punctuation, grammar, polysemy, limited text, only written, etc)
As usual, my condolences to ScE, IrE, AusE, NZE, SAfrE, and doubly so to those I leave out here.
– Mitch
Jun 8 '15 at 19:53
add a comment |
up vote
0
down vote
Update: it works!
https://books.google.com/ngrams/graph?content=ammo%3Aeng_us_2012%2Cammo%3Aeng_gb_2012&year_start=1800&year_end=2012&corpus=15&smoothing=3&share=&direct_url=t1%3B%2Cammo%3Aeng_us_2012%3B%2Cc0%3B.t1%3B%2Cammo%3Aeng_gb_2012%3B%2Cc0
You can set the descriptions of the corpora.
New contributor
This adds nothing to Mitch's answer
– AndyT
2 days ago
add a comment |
3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
6
down vote
accepted
On Google's Ngram viewer you can set the corpus to be American English or British English, and get a graph for each. You can then compare the y-axis values, being careful to note that Google autoscales it.
For example: American English and British English.
You can also download the datasets of each corpus if you'd like to do your own data processing.
2
But we mustn't forget that nGrams is a record drawn only from printed books. No newspapers, no magazines and, most importantly of all, no speech.
– Barrie England
Jan 8 '12 at 10:21
@Barrie: Well, some newspapers and magazines have been re-published in books, and some are included, but you make a good point.
– Hugo
Jan 8 '12 at 10:32
add a comment |
up vote
6
down vote
accepted
On Google's Ngram viewer you can set the corpus to be American English or British English, and get a graph for each. You can then compare the y-axis values, being careful to note that Google autoscales it.
For example: American English and British English.
You can also download the datasets of each corpus if you'd like to do your own data processing.
2
But we mustn't forget that nGrams is a record drawn only from printed books. No newspapers, no magazines and, most importantly of all, no speech.
– Barrie England
Jan 8 '12 at 10:21
@Barrie: Well, some newspapers and magazines have been re-published in books, and some are included, but you make a good point.
– Hugo
Jan 8 '12 at 10:32
add a comment |
up vote
6
down vote
accepted
up vote
6
down vote
accepted
On Google's Ngram viewer you can set the corpus to be American English or British English, and get a graph for each. You can then compare the y-axis values, being careful to note that Google autoscales it.
For example: American English and British English.
You can also download the datasets of each corpus if you'd like to do your own data processing.
On Google's Ngram viewer you can set the corpus to be American English or British English, and get a graph for each. You can then compare the y-axis values, being careful to note that Google autoscales it.
For example: American English and British English.
You can also download the datasets of each corpus if you'd like to do your own data processing.
edited Jan 8 '12 at 7:56
Ellie Kesselman
4,65932147
4,65932147
answered Jun 21 '11 at 13:03
Hugo
57.7k12166267
57.7k12166267
2
But we mustn't forget that nGrams is a record drawn only from printed books. No newspapers, no magazines and, most importantly of all, no speech.
– Barrie England
Jan 8 '12 at 10:21
@Barrie: Well, some newspapers and magazines have been re-published in books, and some are included, but you make a good point.
– Hugo
Jan 8 '12 at 10:32
add a comment |
2
But we mustn't forget that nGrams is a record drawn only from printed books. No newspapers, no magazines and, most importantly of all, no speech.
– Barrie England
Jan 8 '12 at 10:21
@Barrie: Well, some newspapers and magazines have been re-published in books, and some are included, but you make a good point.
– Hugo
Jan 8 '12 at 10:32
2
2
But we mustn't forget that nGrams is a record drawn only from printed books. No newspapers, no magazines and, most importantly of all, no speech.
– Barrie England
Jan 8 '12 at 10:21
But we mustn't forget that nGrams is a record drawn only from printed books. No newspapers, no magazines and, most importantly of all, no speech.
– Barrie England
Jan 8 '12 at 10:21
@Barrie: Well, some newspapers and magazines have been re-published in books, and some are included, but you make a good point.
– Hugo
Jan 8 '12 at 10:32
@Barrie: Well, some newspapers and magazines have been re-published in books, and some are included, but you make a good point.
– Hugo
Jan 8 '12 at 10:32
add a comment |
up vote
2
down vote
one solution is to compare frequencies in COCA (AmE) to those in BNC (British). You'll have to account for the size of the corpus as the 'denominator' though.
Google NGrams allows specifying as tags the corpus American or British. For example
appropriation:eng_us_2012, appropriation:eng_gb_2012
will graph 'appropriation' over time for their American corpus against their British corpus. This isn't terribly recent (there's lots more new functionality there too) but it is slightly more recent than the time of the original question. All the usual caveats about using NGrams still apply (OCR, punctuation, grammar, polysemy, limited text, only written, etc)
As usual, my condolences to ScE, IrE, AusE, NZE, SAfrE, and doubly so to those I leave out here.
– Mitch
Jun 8 '15 at 19:53
add a comment |
up vote
2
down vote
one solution is to compare frequencies in COCA (AmE) to those in BNC (British). You'll have to account for the size of the corpus as the 'denominator' though.
Google NGrams allows specifying as tags the corpus American or British. For example
appropriation:eng_us_2012, appropriation:eng_gb_2012
will graph 'appropriation' over time for their American corpus against their British corpus. This isn't terribly recent (there's lots more new functionality there too) but it is slightly more recent than the time of the original question. All the usual caveats about using NGrams still apply (OCR, punctuation, grammar, polysemy, limited text, only written, etc)
As usual, my condolences to ScE, IrE, AusE, NZE, SAfrE, and doubly so to those I leave out here.
– Mitch
Jun 8 '15 at 19:53
add a comment |
up vote
2
down vote
up vote
2
down vote
one solution is to compare frequencies in COCA (AmE) to those in BNC (British). You'll have to account for the size of the corpus as the 'denominator' though.
Google NGrams allows specifying as tags the corpus American or British. For example
appropriation:eng_us_2012, appropriation:eng_gb_2012
will graph 'appropriation' over time for their American corpus against their British corpus. This isn't terribly recent (there's lots more new functionality there too) but it is slightly more recent than the time of the original question. All the usual caveats about using NGrams still apply (OCR, punctuation, grammar, polysemy, limited text, only written, etc)
one solution is to compare frequencies in COCA (AmE) to those in BNC (British). You'll have to account for the size of the corpus as the 'denominator' though.
Google NGrams allows specifying as tags the corpus American or British. For example
appropriation:eng_us_2012, appropriation:eng_gb_2012
will graph 'appropriation' over time for their American corpus against their British corpus. This isn't terribly recent (there's lots more new functionality there too) but it is slightly more recent than the time of the original question. All the usual caveats about using NGrams still apply (OCR, punctuation, grammar, polysemy, limited text, only written, etc)
answered Jun 8 '15 at 19:46
community wiki
Mitch
As usual, my condolences to ScE, IrE, AusE, NZE, SAfrE, and doubly so to those I leave out here.
– Mitch
Jun 8 '15 at 19:53
add a comment |
As usual, my condolences to ScE, IrE, AusE, NZE, SAfrE, and doubly so to those I leave out here.
– Mitch
Jun 8 '15 at 19:53
As usual, my condolences to ScE, IrE, AusE, NZE, SAfrE, and doubly so to those I leave out here.
– Mitch
Jun 8 '15 at 19:53
As usual, my condolences to ScE, IrE, AusE, NZE, SAfrE, and doubly so to those I leave out here.
– Mitch
Jun 8 '15 at 19:53
add a comment |
up vote
0
down vote
Update: it works!
https://books.google.com/ngrams/graph?content=ammo%3Aeng_us_2012%2Cammo%3Aeng_gb_2012&year_start=1800&year_end=2012&corpus=15&smoothing=3&share=&direct_url=t1%3B%2Cammo%3Aeng_us_2012%3B%2Cc0%3B.t1%3B%2Cammo%3Aeng_gb_2012%3B%2Cc0
You can set the descriptions of the corpora.
New contributor
This adds nothing to Mitch's answer
– AndyT
2 days ago
add a comment |
up vote
0
down vote
Update: it works!
https://books.google.com/ngrams/graph?content=ammo%3Aeng_us_2012%2Cammo%3Aeng_gb_2012&year_start=1800&year_end=2012&corpus=15&smoothing=3&share=&direct_url=t1%3B%2Cammo%3Aeng_us_2012%3B%2Cc0%3B.t1%3B%2Cammo%3Aeng_gb_2012%3B%2Cc0
You can set the descriptions of the corpora.
New contributor
This adds nothing to Mitch's answer
– AndyT
2 days ago
add a comment |
up vote
0
down vote
up vote
0
down vote
Update: it works!
https://books.google.com/ngrams/graph?content=ammo%3Aeng_us_2012%2Cammo%3Aeng_gb_2012&year_start=1800&year_end=2012&corpus=15&smoothing=3&share=&direct_url=t1%3B%2Cammo%3Aeng_us_2012%3B%2Cc0%3B.t1%3B%2Cammo%3Aeng_gb_2012%3B%2Cc0
You can set the descriptions of the corpora.
New contributor
Update: it works!
https://books.google.com/ngrams/graph?content=ammo%3Aeng_us_2012%2Cammo%3Aeng_gb_2012&year_start=1800&year_end=2012&corpus=15&smoothing=3&share=&direct_url=t1%3B%2Cammo%3Aeng_us_2012%3B%2Cc0%3B.t1%3B%2Cammo%3Aeng_gb_2012%3B%2Cc0
You can set the descriptions of the corpora.
New contributor
New contributor
answered 2 days ago
user325778
91
91
New contributor
New contributor
This adds nothing to Mitch's answer
– AndyT
2 days ago
add a comment |
This adds nothing to Mitch's answer
– AndyT
2 days ago
This adds nothing to Mitch's answer
– AndyT
2 days ago
This adds nothing to Mitch's answer
– AndyT
2 days ago
add a comment |
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4
There's a scale. You can do two Ngrams and look at the numbers on the left. I don't know whether there's any software clever enough to combine them.
– Peter Shor
Jun 20 '11 at 23:25
@PeterShor NGrams added a while ago specifying the corpus in a single query so you can compare side by side (see my new answer)
– Mitch
Jun 8 '15 at 19:49