Tokenize text with both American and English words
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I need to tokenize a corpus of abstracts from an international conference. The abstracts are usually American English but sometimes British English.
Consequently, I get 2 tokens for “organization” and “organisation” or “color” and “colour”.
Examples : https://en.oxforddictionaries.com/spelling/british-and-spelling
Do you know a (python) library converting “British English” to “American English” (or vis versa) ?
I would be happy to that ... (but I am french and my english is not soo good)
Thanks.
text-mining nltk text-filter
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$begingroup$
I need to tokenize a corpus of abstracts from an international conference. The abstracts are usually American English but sometimes British English.
Consequently, I get 2 tokens for “organization” and “organisation” or “color” and “colour”.
Examples : https://en.oxforddictionaries.com/spelling/british-and-spelling
Do you know a (python) library converting “British English” to “American English” (or vis versa) ?
I would be happy to that ... (but I am french and my english is not soo good)
Thanks.
text-mining nltk text-filter
$endgroup$
bumped to the homepage by Community♦ yesterday
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I need to tokenize a corpus of abstracts from an international conference. The abstracts are usually American English but sometimes British English.
Consequently, I get 2 tokens for “organization” and “organisation” or “color” and “colour”.
Examples : https://en.oxforddictionaries.com/spelling/british-and-spelling
Do you know a (python) library converting “British English” to “American English” (or vis versa) ?
I would be happy to that ... (but I am french and my english is not soo good)
Thanks.
text-mining nltk text-filter
$endgroup$
I need to tokenize a corpus of abstracts from an international conference. The abstracts are usually American English but sometimes British English.
Consequently, I get 2 tokens for “organization” and “organisation” or “color” and “colour”.
Examples : https://en.oxforddictionaries.com/spelling/british-and-spelling
Do you know a (python) library converting “British English” to “American English” (or vis versa) ?
I would be happy to that ... (but I am french and my english is not soo good)
Thanks.
text-mining nltk text-filter
text-mining nltk text-filter
asked Sep 22 '17 at 14:53
user3259111user3259111
111
111
bumped to the homepage by Community♦ yesterday
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ yesterday
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
1 Answer
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$begingroup$
Grouping related tokens is called text normalization.
There is not an established Python package that does this. You could create a custom dictionary or write a function to rewrite the tokens.
$endgroup$
$begingroup$
Thanks. I know I can make a function and what text normalization is. Just wanted to know if there is a established solution since the issue seems quite common. This dictionnary is a good start. Thanks.
$endgroup$
– user3259111
Sep 22 '17 at 17:05
add a comment |
Your Answer
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1 Answer
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active
oldest
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1 Answer
1
active
oldest
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active
oldest
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active
oldest
votes
$begingroup$
Grouping related tokens is called text normalization.
There is not an established Python package that does this. You could create a custom dictionary or write a function to rewrite the tokens.
$endgroup$
$begingroup$
Thanks. I know I can make a function and what text normalization is. Just wanted to know if there is a established solution since the issue seems quite common. This dictionnary is a good start. Thanks.
$endgroup$
– user3259111
Sep 22 '17 at 17:05
add a comment |
$begingroup$
Grouping related tokens is called text normalization.
There is not an established Python package that does this. You could create a custom dictionary or write a function to rewrite the tokens.
$endgroup$
$begingroup$
Thanks. I know I can make a function and what text normalization is. Just wanted to know if there is a established solution since the issue seems quite common. This dictionnary is a good start. Thanks.
$endgroup$
– user3259111
Sep 22 '17 at 17:05
add a comment |
$begingroup$
Grouping related tokens is called text normalization.
There is not an established Python package that does this. You could create a custom dictionary or write a function to rewrite the tokens.
$endgroup$
Grouping related tokens is called text normalization.
There is not an established Python package that does this. You could create a custom dictionary or write a function to rewrite the tokens.
answered Sep 22 '17 at 16:07
Brian SpieringBrian Spiering
4,2581129
4,2581129
$begingroup$
Thanks. I know I can make a function and what text normalization is. Just wanted to know if there is a established solution since the issue seems quite common. This dictionnary is a good start. Thanks.
$endgroup$
– user3259111
Sep 22 '17 at 17:05
add a comment |
$begingroup$
Thanks. I know I can make a function and what text normalization is. Just wanted to know if there is a established solution since the issue seems quite common. This dictionnary is a good start. Thanks.
$endgroup$
– user3259111
Sep 22 '17 at 17:05
$begingroup$
Thanks. I know I can make a function and what text normalization is. Just wanted to know if there is a established solution since the issue seems quite common. This dictionnary is a good start. Thanks.
$endgroup$
– user3259111
Sep 22 '17 at 17:05
$begingroup$
Thanks. I know I can make a function and what text normalization is. Just wanted to know if there is a established solution since the issue seems quite common. This dictionnary is a good start. Thanks.
$endgroup$
– user3259111
Sep 22 '17 at 17:05
add a comment |
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