Convert Accented Characters to Their Plain Ascii Equivalents

BigQuery: Convert accented characters to their plain ascii equivalents

Try below as quick and simple option for you:


#standardSQL
WITH lookups AS (
SELECT
'ç,æ,œ,á,é,í,ó,ú,à,è,ì,ò,ù,ä,ë,ï,ö,ü,ÿ,â,ê,î,ô,û,å,ø,Ø,Å,Á,À,Â,Ä,È,É,Ê,Ë,Í,Î,Ï,Ì,Ò,Ó,Ô,Ö,Ú,Ù,Û,Ü,Ÿ,Ç,Æ,Œ,ñ' AS accents,
'c,ae,oe,a,e,i,o,u,a,e,i,o,u,a,e,i,o,u,y,a,e,i,o,u,a,o,O,A,A,A,A,A,E,E,E,E,I,I,I,I,O,O,O,O,U,U,U,U,Y,C,AE,OE,n' AS latins
),
pairs AS (
SELECT accent, latin FROM lookups,
UNNEST(SPLIT(accents)) AS accent WITH OFFSET AS p1,
UNNEST(SPLIT(latins)) AS latin WITH OFFSET AS p2
WHERE p1 = p2
),
yourTableWithWords AS (
SELECT word FROM UNNEST(
SPLIT('brasília,ångström,aperçu,barège, beau idéal, belle époque, béguin, bête noire, bêtise, Bichon Frisé, blasé, blessèd, bobèche, boîte, bombé, Bön, Boötes, boutonnière, bric-à-brac, Brontë Beyoncé,El Niño')
) AS word
)
SELECT
word AS word_with_accent,
(SELECT STRING_AGG(IFNULL(latin, char), '')
FROM UNNEST(SPLIT(word, '')) char
LEFT JOIN pairs
ON char = accent) AS word_without_accent
FROM yourTableWithWords

Output is

word_with_accent word_without_accent     
blessèd blessed
El Niño El Nino
belle époque belle epoque
boîte boite
Boötes Bootes
blasé blase
ångström angstrom
bobèche bobeche
barège barege
bric-à-brac bric-a-brac
bête noire bete noire
Bichon Frisé Bichon Frise
Brontë Beyoncé Bronte Beyonce
bêtise betise
beau idéal beau ideal
bombé bombe
brasília brasilia
boutonnière boutonniere
aperçu apercu
béguin beguin
Bön Bon

UPDATE

Below is how to pack this logic into SQL UDF - so accent2latin(word) can be called to make a "magic"

#standardSQL
CREATE TEMP FUNCTION accent2latin(word STRING) AS
((
WITH lookups AS (
SELECT
'ç,æ,œ,á,é,í,ó,ú,à,è,ì,ò,ù,ä,ë,ï,ö,ü,ÿ,â,ê,î,ô,û,å,ø,Ø,Å,Á,À,Â,Ä,È,É,Ê,Ë,Í,Î,Ï,Ì,Ò,Ó,Ô,Ö,Ú,Ù,Û,Ü,Ÿ,Ç,Æ,Œ,ñ' AS accents,
'c,ae,oe,a,e,i,o,u,a,e,i,o,u,a,e,i,o,u,y,a,e,i,o,u,a,o,O,A,A,A,A,A,E,E,E,E,I,I,I,I,O,O,O,O,U,U,U,U,Y,C,AE,OE,n' AS latins
),
pairs AS (
SELECT accent, latin FROM lookups,
UNNEST(SPLIT(accents)) AS accent WITH OFFSET AS p1,
UNNEST(SPLIT(latins)) AS latin WITH OFFSET AS p2
WHERE p1 = p2
)
SELECT STRING_AGG(IFNULL(latin, char), '')
FROM UNNEST(SPLIT(word, '')) char
LEFT JOIN pairs
ON char = accent
));

WITH yourTableWithWords AS (
SELECT word FROM UNNEST(
SPLIT('brasília,ångström,aperçu,barège, beau idéal, belle époque, béguin, bête noire, bêtise, Bichon Frisé, blasé, blessèd, bobèche, boîte, bombé, Bön, Boötes, boutonnière, bric-à-brac, Brontë Beyoncé,El Niño')
) AS word
)
SELECT
word AS word_with_accent,
accent2latin(word) AS word_without_accent
FROM yourTableWithWords

Replacing accented characters with plain ascii ones

The correct terminology for such accents is Diacritics. After Googling this term, I found this function which is part of backbone.paginator. It has a very complete collection of Diacritics and replaces them with their most intuitive ascii character. I found this to be the most complete Javascript solution available today.

The full function for future reference:

function removeDiacritics (str) {

var defaultDiacriticsRemovalMap = [
{'base':'A', 'letters':/[\u0041\u24B6\uFF21\u00C0\u00C1\u00C2\u1EA6\u1EA4\u1EAA\u1EA8\u00C3\u0100\u0102\u1EB0\u1EAE\u1EB4\u1EB2\u0226\u01E0\u00C4\u01DE\u1EA2\u00C5\u01FA\u01CD\u0200\u0202\u1EA0\u1EAC\u1EB6\u1E00\u0104\u023A\u2C6F]/g},
{'base':'AA','letters':/[\uA732]/g},
{'base':'AE','letters':/[\u00C6\u01FC\u01E2]/g},
{'base':'AO','letters':/[\uA734]/g},
{'base':'AU','letters':/[\uA736]/g},
{'base':'AV','letters':/[\uA738\uA73A]/g},
{'base':'AY','letters':/[\uA73C]/g},
{'base':'B', 'letters':/[\u0042\u24B7\uFF22\u1E02\u1E04\u1E06\u0243\u0182\u0181]/g},
{'base':'C', 'letters':/[\u0043\u24B8\uFF23\u0106\u0108\u010A\u010C\u00C7\u1E08\u0187\u023B\uA73E]/g},
{'base':'D', 'letters':/[\u0044\u24B9\uFF24\u1E0A\u010E\u1E0C\u1E10\u1E12\u1E0E\u0110\u018B\u018A\u0189\uA779]/g},
{'base':'DZ','letters':/[\u01F1\u01C4]/g},
{'base':'Dz','letters':/[\u01F2\u01C5]/g},
{'base':'E', 'letters':/[\u0045\u24BA\uFF25\u00C8\u00C9\u00CA\u1EC0\u1EBE\u1EC4\u1EC2\u1EBC\u0112\u1E14\u1E16\u0114\u0116\u00CB\u1EBA\u011A\u0204\u0206\u1EB8\u1EC6\u0228\u1E1C\u0118\u1E18\u1E1A\u0190\u018E]/g},
{'base':'F', 'letters':/[\u0046\u24BB\uFF26\u1E1E\u0191\uA77B]/g},
{'base':'G', 'letters':/[\u0047\u24BC\uFF27\u01F4\u011C\u1E20\u011E\u0120\u01E6\u0122\u01E4\u0193\uA7A0\uA77D\uA77E]/g},
{'base':'H', 'letters':/[\u0048\u24BD\uFF28\u0124\u1E22\u1E26\u021E\u1E24\u1E28\u1E2A\u0126\u2C67\u2C75\uA78D]/g},
{'base':'I', 'letters':/[\u0049\u24BE\uFF29\u00CC\u00CD\u00CE\u0128\u012A\u012C\u0130\u00CF\u1E2E\u1EC8\u01CF\u0208\u020A\u1ECA\u012E\u1E2C\u0197]/g},
{'base':'J', 'letters':/[\u004A\u24BF\uFF2A\u0134\u0248]/g},
{'base':'K', 'letters':/[\u004B\u24C0\uFF2B\u1E30\u01E8\u1E32\u0136\u1E34\u0198\u2C69\uA740\uA742\uA744\uA7A2]/g},
{'base':'L', 'letters':/[\u004C\u24C1\uFF2C\u013F\u0139\u013D\u1E36\u1E38\u013B\u1E3C\u1E3A\u0141\u023D\u2C62\u2C60\uA748\uA746\uA780]/g},
{'base':'LJ','letters':/[\u01C7]/g},
{'base':'Lj','letters':/[\u01C8]/g},
{'base':'M', 'letters':/[\u004D\u24C2\uFF2D\u1E3E\u1E40\u1E42\u2C6E\u019C]/g},
{'base':'N', 'letters':/[\u004E\u24C3\uFF2E\u01F8\u0143\u00D1\u1E44\u0147\u1E46\u0145\u1E4A\u1E48\u0220\u019D\uA790\uA7A4]/g},
{'base':'NJ','letters':/[\u01CA]/g},
{'base':'Nj','letters':/[\u01CB]/g},
{'base':'O', 'letters':/[\u004F\u24C4\uFF2F\u00D2\u00D3\u00D4\u1ED2\u1ED0\u1ED6\u1ED4\u00D5\u1E4C\u022C\u1E4E\u014C\u1E50\u1E52\u014E\u022E\u0230\u00D6\u022A\u1ECE\u0150\u01D1\u020C\u020E\u01A0\u1EDC\u1EDA\u1EE0\u1EDE\u1EE2\u1ECC\u1ED8\u01EA\u01EC\u00D8\u01FE\u0186\u019F\uA74A\uA74C]/g},
{'base':'OI','letters':/[\u01A2]/g},
{'base':'OO','letters':/[\uA74E]/g},
{'base':'OU','letters':/[\u0222]/g},
{'base':'P', 'letters':/[\u0050\u24C5\uFF30\u1E54\u1E56\u01A4\u2C63\uA750\uA752\uA754]/g},
{'base':'Q', 'letters':/[\u0051\u24C6\uFF31\uA756\uA758\u024A]/g},
{'base':'R', 'letters':/[\u0052\u24C7\uFF32\u0154\u1E58\u0158\u0210\u0212\u1E5A\u1E5C\u0156\u1E5E\u024C\u2C64\uA75A\uA7A6\uA782]/g},
{'base':'S', 'letters':/[\u0053\u24C8\uFF33\u1E9E\u015A\u1E64\u015C\u1E60\u0160\u1E66\u1E62\u1E68\u0218\u015E\u2C7E\uA7A8\uA784]/g},
{'base':'T', 'letters':/[\u0054\u24C9\uFF34\u1E6A\u0164\u1E6C\u021A\u0162\u1E70\u1E6E\u0166\u01AC\u01AE\u023E\uA786]/g},
{'base':'TZ','letters':/[\uA728]/g},
{'base':'U', 'letters':/[\u0055\u24CA\uFF35\u00D9\u00DA\u00DB\u0168\u1E78\u016A\u1E7A\u016C\u00DC\u01DB\u01D7\u01D5\u01D9\u1EE6\u016E\u0170\u01D3\u0214\u0216\u01AF\u1EEA\u1EE8\u1EEE\u1EEC\u1EF0\u1EE4\u1E72\u0172\u1E76\u1E74\u0244]/g},
{'base':'V', 'letters':/[\u0056\u24CB\uFF36\u1E7C\u1E7E\u01B2\uA75E\u0245]/g},
{'base':'VY','letters':/[\uA760]/g},
{'base':'W', 'letters':/[\u0057\u24CC\uFF37\u1E80\u1E82\u0174\u1E86\u1E84\u1E88\u2C72]/g},
{'base':'X', 'letters':/[\u0058\u24CD\uFF38\u1E8A\u1E8C]/g},
{'base':'Y', 'letters':/[\u0059\u24CE\uFF39\u1EF2\u00DD\u0176\u1EF8\u0232\u1E8E\u0178\u1EF6\u1EF4\u01B3\u024E\u1EFE]/g},
{'base':'Z', 'letters':/[\u005A\u24CF\uFF3A\u0179\u1E90\u017B\u017D\u1E92\u1E94\u01B5\u0224\u2C7F\u2C6B\uA762]/g},
{'base':'a', 'letters':/[\u0061\u24D0\uFF41\u1E9A\u00E0\u00E1\u00E2\u1EA7\u1EA5\u1EAB\u1EA9\u00E3\u0101\u0103\u1EB1\u1EAF\u1EB5\u1EB3\u0227\u01E1\u00E4\u01DF\u1EA3\u00E5\u01FB\u01CE\u0201\u0203\u1EA1\u1EAD\u1EB7\u1E01\u0105\u2C65\u0250]/g},
{'base':'aa','letters':/[\uA733]/g},
{'base':'ae','letters':/[\u00E6\u01FD\u01E3]/g},
{'base':'ao','letters':/[\uA735]/g},
{'base':'au','letters':/[\uA737]/g},
{'base':'av','letters':/[\uA739\uA73B]/g},
{'base':'ay','letters':/[\uA73D]/g},
{'base':'b', 'letters':/[\u0062\u24D1\uFF42\u1E03\u1E05\u1E07\u0180\u0183\u0253]/g},
{'base':'c', 'letters':/[\u0063\u24D2\uFF43\u0107\u0109\u010B\u010D\u00E7\u1E09\u0188\u023C\uA73F\u2184]/g},
{'base':'d', 'letters':/[\u0064\u24D3\uFF44\u1E0B\u010F\u1E0D\u1E11\u1E13\u1E0F\u0111\u018C\u0256\u0257\uA77A]/g},
{'base':'dz','letters':/[\u01F3\u01C6]/g},
{'base':'e', 'letters':/[\u0065\u24D4\uFF45\u00E8\u00E9\u00EA\u1EC1\u1EBF\u1EC5\u1EC3\u1EBD\u0113\u1E15\u1E17\u0115\u0117\u00EB\u1EBB\u011B\u0205\u0207\u1EB9\u1EC7\u0229\u1E1D\u0119\u1E19\u1E1B\u0247\u025B\u01DD]/g},
{'base':'f', 'letters':/[\u0066\u24D5\uFF46\u1E1F\u0192\uA77C]/g},
{'base':'g', 'letters':/[\u0067\u24D6\uFF47\u01F5\u011D\u1E21\u011F\u0121\u01E7\u0123\u01E5\u0260\uA7A1\u1D79\uA77F]/g},
{'base':'h', 'letters':/[\u0068\u24D7\uFF48\u0125\u1E23\u1E27\u021F\u1E25\u1E29\u1E2B\u1E96\u0127\u2C68\u2C76\u0265]/g},
{'base':'hv','letters':/[\u0195]/g},
{'base':'i', 'letters':/[\u0069\u24D8\uFF49\u00EC\u00ED\u00EE\u0129\u012B\u012D\u00EF\u1E2F\u1EC9\u01D0\u0209\u020B\u1ECB\u012F\u1E2D\u0268\u0131]/g},
{'base':'j', 'letters':/[\u006A\u24D9\uFF4A\u0135\u01F0\u0249]/g},
{'base':'k', 'letters':/[\u006B\u24DA\uFF4B\u1E31\u01E9\u1E33\u0137\u1E35\u0199\u2C6A\uA741\uA743\uA745\uA7A3]/g},
{'base':'l', 'letters':/[\u006C\u24DB\uFF4C\u0140\u013A\u013E\u1E37\u1E39\u013C\u1E3D\u1E3B\u017F\u0142\u019A\u026B\u2C61\uA749\uA781\uA747]/g},
{'base':'lj','letters':/[\u01C9]/g},
{'base':'m', 'letters':/[\u006D\u24DC\uFF4D\u1E3F\u1E41\u1E43\u0271\u026F]/g},
{'base':'n', 'letters':/[\u006E\u24DD\uFF4E\u01F9\u0144\u00F1\u1E45\u0148\u1E47\u0146\u1E4B\u1E49\u019E\u0272\u0149\uA791\uA7A5]/g},
{'base':'nj','letters':/[\u01CC]/g},
{'base':'o', 'letters':/[\u006F\u24DE\uFF4F\u00F2\u00F3\u00F4\u1ED3\u1ED1\u1ED7\u1ED5\u00F5\u1E4D\u022D\u1E4F\u014D\u1E51\u1E53\u014F\u022F\u0231\u00F6\u022B\u1ECF\u0151\u01D2\u020D\u020F\u01A1\u1EDD\u1EDB\u1EE1\u1EDF\u1EE3\u1ECD\u1ED9\u01EB\u01ED\u00F8\u01FF\u0254\uA74B\uA74D\u0275]/g},
{'base':'oi','letters':/[\u01A3]/g},
{'base':'ou','letters':/[\u0223]/g},
{'base':'oo','letters':/[\uA74F]/g},
{'base':'p','letters':/[\u0070\u24DF\uFF50\u1E55\u1E57\u01A5\u1D7D\uA751\uA753\uA755]/g},
{'base':'q','letters':/[\u0071\u24E0\uFF51\u024B\uA757\uA759]/g},
{'base':'r','letters':/[\u0072\u24E1\uFF52\u0155\u1E59\u0159\u0211\u0213\u1E5B\u1E5D\u0157\u1E5F\u024D\u027D\uA75B\uA7A7\uA783]/g},
{'base':'s','letters':/[\u0073\u24E2\uFF53\u00DF\u015B\u1E65\u015D\u1E61\u0161\u1E67\u1E63\u1E69\u0219\u015F\u023F\uA7A9\uA785\u1E9B]/g},
{'base':'t','letters':/[\u0074\u24E3\uFF54\u1E6B\u1E97\u0165\u1E6D\u021B\u0163\u1E71\u1E6F\u0167\u01AD\u0288\u2C66\uA787]/g},
{'base':'tz','letters':/[\uA729]/g},
{'base':'u','letters':/[\u0075\u24E4\uFF55\u00F9\u00FA\u00FB\u0169\u1E79\u016B\u1E7B\u016D\u00FC\u01DC\u01D8\u01D6\u01DA\u1EE7\u016F\u0171\u01D4\u0215\u0217\u01B0\u1EEB\u1EE9\u1EEF\u1EED\u1EF1\u1EE5\u1E73\u0173\u1E77\u1E75\u0289]/g},
{'base':'v','letters':/[\u0076\u24E5\uFF56\u1E7D\u1E7F\u028B\uA75F\u028C]/g},
{'base':'vy','letters':/[\uA761]/g},
{'base':'w','letters':/[\u0077\u24E6\uFF57\u1E81\u1E83\u0175\u1E87\u1E85\u1E98\u1E89\u2C73]/g},
{'base':'x','letters':/[\u0078\u24E7\uFF58\u1E8B\u1E8D]/g},
{'base':'y','letters':/[\u0079\u24E8\uFF59\u1EF3\u00FD\u0177\u1EF9\u0233\u1E8F\u00FF\u1EF7\u1E99\u1EF5\u01B4\u024F\u1EFF]/g},
{'base':'z','letters':/[\u007A\u24E9\uFF5A\u017A\u1E91\u017C\u017E\u1E93\u1E95\u01B6\u0225\u0240\u2C6C\uA763]/g}
];

for(var i=0; i<defaultDiacriticsRemovalMap.length; i++) {
str = str.replace(defaultDiacriticsRemovalMap[i].letters, defaultDiacriticsRemovalMap[i].base);
}

return str;

}

How do I remove diacritics (accents) from a string in .NET?

I've not used this method, but Michael Kaplan describes a method for doing so in his blog post (with a confusing title) that talks about stripping diacritics: Stripping is an interesting job (aka
On the meaning of meaningless, aka All
Mn characters are non-spacing, but
some are more non-spacing than
others)

static string RemoveDiacritics(string text) 
{
var normalizedString = text.Normalize(NormalizationForm.FormD);
var stringBuilder = new StringBuilder(capacity: normalizedString.Length);

for (int i = 0; i < normalizedString.Length; i++)
{
char c = normalizedString[i];
var unicodeCategory = CharUnicodeInfo.GetUnicodeCategory(c);
if (unicodeCategory != UnicodeCategory.NonSpacingMark)
{
stringBuilder.Append(c);
}
}

return stringBuilder
.ToString()
.Normalize(NormalizationForm.FormC);
}

Note that this is a followup to his earlier post: Stripping diacritics....

The approach uses String.Normalize to split the input string into constituent glyphs (basically separating the "base" characters from the diacritics) and then scans the result and retains only the base characters. It's just a little complicated, but really you're looking at a complicated problem.

Of course, if you're limiting yourself to French, you could probably get away with the simple table-based approach in How to remove accents and tilde in a C++ std::string, as recommended by @David Dibben.

How to remove accents and turn letters into plain ASCII characters?

If you have iconv installed, try this (the example assumes your input string is in UTF-8):

echo iconv('UTF-8', 'ASCII//TRANSLIT', $string);

(iconv is a library to convert between all kinds of encodings; it's efficient and included with many PHP distributions by default. Most of all, it's definitely easier and more error-proof than trying to roll your own solution (did you know that there's a "Latin letter N with a curl"? Me neither.))

What is the best way to remove accents (normalize) in a Python unicode string?

How about this:

import unicodedata
def strip_accents(s):
return ''.join(c for c in unicodedata.normalize('NFD', s)
if unicodedata.category(c) != 'Mn')

This works on greek letters, too:

>>> strip_accents(u"A \u00c0 \u0394 \u038E")
u'A A \u0394 \u03a5'
>>>

The character category "Mn" stands for Nonspacing_Mark, which is similar to unicodedata.combining in MiniQuark's answer (I didn't think of unicodedata.combining, but it is probably the better solution, because it's more explicit).

And keep in mind, these manipulations may significantly alter the meaning of the text. Accents, Umlauts etc. are not "decoration".

How to convert unicode accented characters to pure ascii without accents?

how do i convert all those escape characters into their respective characters like if there is an unicode à, how do i convert that into a standard a?

Assume you have loaded your unicode into a variable called my_unicode... normalizing à into a is this simple...

import unicodedata
output = unicodedata.normalize('NFD', my_unicode).encode('ascii', 'ignore')

Explicit example...

>>> myfoo = u'àà'
>>> myfoo
u'\xe0\xe0'
>>> unicodedata.normalize('NFD', myfoo).encode('ascii', 'ignore')
'aa'
>>>

How it works

unicodedata.normalize('NFD', "insert-unicode-text-here") performs a Canonical Decomposition (NFD) of the unicode text; then we use str.encode('ascii', 'ignore') to transform the NFD mapped characters into ascii (ignoring errors).

ColdFusion: convert accented regional characters to plain ASCII

I found this simple UDF at CFLib.org:

deAccent

<cfscript>
/**
* Replaces accented characters with their non accented closest equivalents.
*
* @return Returns a string.
* @author Rachel Lehman (raelehman@gmail.com)
* @version 1, November 15, 2010
*/
function deAccent(str){
var newstr = "";
var list1 = "á,é,í,ó,ú,ý,à,è,ì,ò,ù,â,ê,î,ô,û,ã,ñ,õ,ä,ë,ï,ö,ü,ÿ,À,È,Ì,Ò,Ù,Á,É,Í,Ó,Ú,Ý,Â,Ê,Î,Ô,Û,Ã,Ñ,Õ,Ä,Ë,Ï,Ö,Ü,x";
var list2 = "a,e,i,o,y,u,a,e,i,o,u,a,e,i,o,u,a,n,o,a,e,i,o,u,y,A,E,I,O,U,A,E,I,O,U,Y,A,E,I,O,U,A,N,O,A,E,I,O,U,Y";

newstr = ReplaceList(str,list1,list2);
return newstr;
}
</cfscript>

Replacing accented characters php

I have tried all sorts based on the variations listed in the answers, but the following worked:

$unwanted_array = array(    'Š'=>'S', 'š'=>'s', 'Ž'=>'Z', 'ž'=>'z', 'À'=>'A', 'Á'=>'A', 'Â'=>'A', 'Ã'=>'A', 'Ä'=>'A', 'Å'=>'A', 'Æ'=>'A', 'Ç'=>'C', 'È'=>'E', 'É'=>'E',
'Ê'=>'E', 'Ë'=>'E', 'Ì'=>'I', 'Í'=>'I', 'Î'=>'I', 'Ï'=>'I', 'Ñ'=>'N', 'Ò'=>'O', 'Ó'=>'O', 'Ô'=>'O', 'Õ'=>'O', 'Ö'=>'O', 'Ø'=>'O', 'Ù'=>'U',
'Ú'=>'U', 'Û'=>'U', 'Ü'=>'U', 'Ý'=>'Y', 'Þ'=>'B', 'ß'=>'Ss', 'à'=>'a', 'á'=>'a', 'â'=>'a', 'ã'=>'a', 'ä'=>'a', 'å'=>'a', 'æ'=>'a', 'ç'=>'c',
'è'=>'e', 'é'=>'e', 'ê'=>'e', 'ë'=>'e', 'ì'=>'i', 'í'=>'i', 'î'=>'i', 'ï'=>'i', 'ð'=>'o', 'ñ'=>'n', 'ò'=>'o', 'ó'=>'o', 'ô'=>'o', 'õ'=>'o',
'ö'=>'o', 'ø'=>'o', 'ù'=>'u', 'ú'=>'u', 'û'=>'u', 'ý'=>'y', 'þ'=>'b', 'ÿ'=>'y' );
$str = strtr( $str, $unwanted_array );


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