French, German, Spanish, Hungarian languages have some special characters (letters with accents) like ä â ë ü í ő ń . To remove all accents in a string using vanilla JavaScript use the normalize function supplemented by a string replace . The normalize() method returns the Unicode Normalization Form of the string.
replace(/[^a-z0-9]/gi,'') . However a more intuitive solution (at least for the user) would be to replace accented characters with their "plain" equivalent, e.g. turn á , á into a , and ç into c , etc.
\p{InCombiningDiacriticalMarks} is a Unicode block property. In JDK7, you will be able to write it using the two-part notation \p{Block=CombiningDiacriticalMarks} , which may be clearer to the reader. It is documented here in UAX#44: “The Unicode Character Database”.
This class provides the method normalize which transforms Unicode text into an equivalent composed or decomposed form, allowing for easier sorting and searching of text. The normalize method supports the standard normalization forms described in Unicode Standard Annex #15 — Unicode Normalization Forms.
Use java.text.Normalizer
to handle this for you.
string = Normalizer.normalize(string, Normalizer.Form.NFD);
// or Normalizer.Form.NFKD for a more "compatible" deconstruction
This will separate all of the accent marks from the characters. Then, you just need to compare each character against being a letter and throw out the ones that aren't.
string = string.replaceAll("[^\\p{ASCII}]", "");
If your text is in unicode, you should use this instead:
string = string.replaceAll("\\p{M}", "");
For unicode, \\P{M}
matches the base glyph and \\p{M}
(lowercase) matches each accent.
Thanks to GarretWilson for the pointer and regular-expressions.info for the great unicode guide.
As of 2011 you can use Apache Commons StringUtils.stripAccents(input) (since 3.0):
String input = StringUtils.stripAccents("Tĥïŝ ĩš â fůňķŷ Šťŕĭńġ");
System.out.println(input);
// Prints "This is a funky String"
Note:
The accepted answer (Erick Robertson's) doesn't work for Ø or Ł. Apache Commons 3.5 doesn't work for Ø either, but it does work for Ł. After reading the Wikipedia article for Ø, I'm not sure it should be replaced with "O": it's a separate letter in Norwegian and Danish, alphabetized after "z". It's a good example of the limitations of the "strip accents" approach.
The solution by @virgo47 is very fast, but approximate. The accepted answer uses Normalizer and a regular expression. I wondered what part of the time was taken by Normalizer versus the regular expression, since removing all the non-ASCII characters can be done without a regex:
import java.text.Normalizer;
public class Strip {
public static String flattenToAscii(String string) {
StringBuilder sb = new StringBuilder(string.length());
string = Normalizer.normalize(string, Normalizer.Form.NFD);
for (char c : string.toCharArray()) {
if (c <= '\u007F') sb.append(c);
}
return sb.toString();
}
}
Small additional speed-ups can be obtained by writing into a char[] and not calling toCharArray(), although I'm not sure that the decrease in code clarity merits it:
public static String flattenToAscii(String string) {
char[] out = new char[string.length()];
string = Normalizer.normalize(string, Normalizer.Form.NFD);
int j = 0;
for (int i = 0, n = string.length(); i < n; ++i) {
char c = string.charAt(i);
if (c <= '\u007F') out[j++] = c;
}
return new String(out);
}
This variation has the advantage of the correctness of the one using Normalizer and some of the speed of the one using a table. On my machine, this one is about 4x faster than the accepted answer, and 6.6x to 7x slower that @virgo47's (the accepted answer is about 26x slower than @virgo47's on my machine).
EDIT: If you're not stuck with Java <6 and speed is not critical and/or translation table is too limiting, use answer by David. The point is to use Normalizer
(introduced in Java 6) instead of translation table inside the loop.
While this is not "perfect" solution, it works well when you know the range (in our case Latin1,2), worked before Java 6 (not a real issue though) and is much faster than the most suggested version (may or may not be an issue):
/**
* Mirror of the unicode table from 00c0 to 017f without diacritics.
*/
private static final String tab00c0 = "AAAAAAACEEEEIIII" +
"DNOOOOO\u00d7\u00d8UUUUYI\u00df" +
"aaaaaaaceeeeiiii" +
"\u00f0nooooo\u00f7\u00f8uuuuy\u00fey" +
"AaAaAaCcCcCcCcDd" +
"DdEeEeEeEeEeGgGg" +
"GgGgHhHhIiIiIiIi" +
"IiJjJjKkkLlLlLlL" +
"lLlNnNnNnnNnOoOo" +
"OoOoRrRrRrSsSsSs" +
"SsTtTtTtUuUuUuUu" +
"UuUuWwYyYZzZzZzF";
/**
* Returns string without diacritics - 7 bit approximation.
*
* @param source string to convert
* @return corresponding string without diacritics
*/
public static String removeDiacritic(String source) {
char[] vysl = new char[source.length()];
char one;
for (int i = 0; i < source.length(); i++) {
one = source.charAt(i);
if (one >= '\u00c0' && one <= '\u017f') {
one = tab00c0.charAt((int) one - '\u00c0');
}
vysl[i] = one;
}
return new String(vysl);
}
Tests on my HW with 32bit JDK show that this performs conversion from àèéľšťč89FDČ to aeelstc89FDC 1 million times in ~100ms while Normalizer way makes it in 3.7s (37x slower). In case your needs are around performance and you know the input range, this may be for you.
Enjoy :-)
System.out.println(Normalizer.normalize("àèé", Normalizer.Form.NFD).replaceAll("\\p{InCombiningDiacriticalMarks}+", ""));
worked for me. The output of the snippet above gives "aee" which is what I wanted, but
System.out.println(Normalizer.normalize("àèé", Normalizer.Form.NFD).replaceAll("[^\\p{ASCII}]", ""));
didn't do any substitution.
Depending on the language, those might not be considered accents (which change the sound of the letter), but diacritical marks
https://en.wikipedia.org/wiki/Diacritic#Languages_with_letters_containing_diacritics
"Bosnian and Croatian have the symbols č, ć, đ, š and ž, which are considered separate letters and are listed as such in dictionaries and other contexts in which words are listed according to alphabetical order."
Removing them might be inherently changing the meaning of the word, or changing the letters into completely different ones.
I have faced the same issue related to Strings equality check, One of the comparing string has ASCII character code 128-255.
i.e., Non-breaking space - [Hex - A0] Space [Hex - 20]. To show Non-breaking space over HTML. I have used the following
spacing entities
. Their character and its bytes are like&emsp is very wide space[ ]{-30, -128, -125}, &ensp is somewhat wide space[ ]{-30, -128, -126}, &thinsp is narrow space[ ]{32} , Non HTML Space {}
String s1 = "My Sample Space Data", s2 = "My Sample Space Data"; System.out.format("S1: %s\n", java.util.Arrays.toString(s1.getBytes())); System.out.format("S2: %s\n", java.util.Arrays.toString(s2.getBytes()));
Output in Bytes:
S1: [77, 121,
32
, 83, 97, 109, 112, 108, 101,32
, 83, 112, 97, 99, 101,32
, 68, 97, 116, 97] S2: [77, 121,-30, -128, -125
, 83, 97, 109, 112, 108, 101,-30, -128, -125
, 83, 112, 97, 99, 101,-30, -128, -125
, 68, 97, 116, 97]
Use below code for Different Spaces and their Byte-Codes: wiki for List_of_Unicode_characters
String spacing_entities = "very wide space,narrow space,regular space,invisible separator";
System.out.println("Space String :"+ spacing_entities);
byte[] byteArray =
// spacing_entities.getBytes( Charset.forName("UTF-8") );
// Charset.forName("UTF-8").encode( s2 ).array();
{-30, -128, -125, 44, -30, -128, -126, 44, 32, 44, -62, -96};
System.out.println("Bytes:"+ Arrays.toString( byteArray ) );
try {
System.out.format("Bytes to String[%S] \n ", new String(byteArray, "UTF-8"));
} catch (UnsupportedEncodingException e) {
e.printStackTrace();
}
➩ ASCII transliterations of Unicode string for Java. unidecode
String initials = Unidecode.decode( s2 );
➩ using Guava
: Google Core Libraries for Java
.
String replaceFrom = CharMatcher.WHITESPACE.replaceFrom( s2, " " );
For URL encode for the space use Guava laibrary.
String encodedString = UrlEscapers.urlFragmentEscaper().escape(inputString);
➩ To overcome this problem used String.replaceAll()
with some RegularExpression
.
// \p{Z} or \p{Separator}: any kind of whitespace or invisible separator.
s2 = s2.replaceAll("\\p{Zs}", " ");
s2 = s2.replaceAll("[^\\p{ASCII}]", " ");
s2 = s2.replaceAll(" ", " ");
➩ Using java.text.Normalizer.Form. This enum provides constants of the four Unicode normalization forms that are described in Unicode Standard Annex #15 — Unicode Normalization Forms and two methods to access them.
s2 = Normalizer.normalize(s2, Normalizer.Form.NFKC);
Testing String and outputs on different approaches like ➩ Unidecode, Normalizer, StringUtils.
String strUni = "Tĥïŝ ĩš â fůňķŷ Šťŕĭńġ Æ,Ø,Ð,ß";
// This is a funky String AE,O,D,ss
String initials = Unidecode.decode( strUni );
// Following Produce this o/p: Tĥïŝ ĩš â fůňķŷ Šťŕĭńġ Æ,Ø,Ð,ß
String temp = Normalizer.normalize(strUni, Normalizer.Form.NFD);
Pattern pattern = Pattern.compile("\\p{InCombiningDiacriticalMarks}+");
temp = pattern.matcher(temp).replaceAll("");
String input = org.apache.commons.lang3.StringUtils.stripAccents( strUni );
Using Unidecode is the best choice
, My final Code shown below.
public static void main(String[] args) {
String s1 = "My Sample Space Data", s2 = "My Sample Space Data";
String initials = Unidecode.decode( s2 );
if( s1.equals(s2)) { //[ , ] %A0 - %2C - %20 « http://www.ascii-code.com/
System.out.println("Equal Unicode Strings");
} else if( s1.equals( initials ) ) {
System.out.println("Equal Non Unicode Strings");
} else {
System.out.println("Not Equal");
}
}
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