Tokenize text with both American and English words2019 Community Moderator ElectionExtracting words belonging to a key from the textIs there a process flow to follow for text analytics?Why word2vec performs much worst than both CountVectorizer and TfidfVectorizer? [Text classification]Text Classifier with multiple bag-of-wordsAccuracy of word and sent tokenize versus custom tokenizers in nltkExtracting date, relation and noun phrase from textBest way to extract information from text description and match it with set of wordsRelated words extraction in text processingClassification: how to handle reviews/long english words in feature set with all other numerical features
can i play a electric guitar through a bass amp?
The Two and the One
Is it legal for company to use my work email to pretend I still work there?
Accidentally leaked the solution to an assignment, what to do now? (I'm the prof)
In Japanese, what’s the difference between “Tonari ni” (となりに) and “Tsugi” (つぎ)? When would you use one over the other?
Risk of getting Chronic Wasting Disease (CWD) in the United States?
Can divisibility rules for digits be generalized to sum of digits
A newer friend of my brother's gave him a load of baseball cards that are supposedly extremely valuable. Is this a scam?
Do I have a twin with permutated remainders?
Why does Kotter return in Welcome Back Kotter?
What do the dots in this tr command do: tr .............A-Z A-ZA-Z <<< "JVPQBOV" (with 13 dots)
Theorems that impeded progress
How is it possible to have an ability score that is less than 3?
Arthur Somervell: 1000 Exercises - Meaning of this notation
How to write a macro that is braces sensitive?
TGV timetables / schedules?
Example of a continuous function that don't have a continuous extension
Why dont electromagnetic waves interact with each other?
Why are electrically insulating heatsinks so rare? Is it just cost?
the place where lots of roads meet
Why do falling prices hurt debtors?
How can bays and straits be determined in a procedurally generated map?
Can I ask the recruiters in my resume to put the reason why I am rejected?
What defenses are there against being summoned by the Gate spell?
Tokenize text with both American and English words
2019 Community Moderator ElectionExtracting words belonging to a key from the textIs there a process flow to follow for text analytics?Why word2vec performs much worst than both CountVectorizer and TfidfVectorizer? [Text classification]Text Classifier with multiple bag-of-wordsAccuracy of word and sent tokenize versus custom tokenizers in nltkExtracting date, relation and noun phrase from textBest way to extract information from text description and match it with set of wordsRelated words extraction in text processingClassification: how to handle reviews/long english words in feature set with all other numerical features
$begingroup$
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
asked Sep 22 '17 at 14:53
user3259111user3259111
111
$endgroup$
bumped to the homepage by Community♦ 26 mins ago
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
asked Sep 22 '17 at 14:53
user3259111user3259111
111
$endgroup$
bumped to the homepage by Community♦ 26 mins ago
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
asked Sep 22 '17 at 14:53
user3259111user3259111
111
$endgroup$
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
asked Sep 22 '17 at 14:53
user3259111user3259111
111
asked Sep 22 '17 at 14:53
user3259111user3259111
111
asked Sep 22 '17 at 14:53
user3259111user3259111
111
asked Sep 22 '17 at 14:53
user3259111user3259111
111
111
bumped to the homepage by Community♦ 26 mins ago
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♦ 26 mins ago
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
1
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.
answered Sep 22 '17 at 16:07
Brian SpieringBrian Spiering
4,2181129
$endgroup$
$begingroup$
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
StackExchange.ifUsing("editor", function ()
return StackExchange.using("mathjaxEditing", function ()
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix)
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
);
);
, "mathjax-editing");
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "557"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f23236%2ftokenize-text-with-both-american-and-english-words%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
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.
answered Sep 22 '17 at 16:07
Brian SpieringBrian Spiering
4,2181129
$endgroup$
$begingroup$
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.
answered Sep 22 '17 at 16:07
Brian SpieringBrian Spiering
4,2181129
$endgroup$
$begingroup$
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.
answered Sep 22 '17 at 16:07
Brian SpieringBrian Spiering
4,2181129
$endgroup$
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
4,2181129
answered Sep 22 '17 at 16:07
Brian SpieringBrian Spiering
4,2181129
answered Sep 22 '17 at 16:07
Brian SpieringBrian Spiering
4,2181129
answered Sep 22 '17 at 16:07
Brian SpieringBrian Spiering
4,2181129
4,2181129
$begingroup$
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 |
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f23236%2ftokenize-text-with-both-american-and-english-words%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
