A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to zaxbel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
zaxbel (0) - 1 freq
mabel (2) - 91 freq
babel (2) - 7 freq
zabell (2) - 1 freq
label (2) - 57 freq
abel (2) - 7 freq
fael (3) - 2 freq
hanzel (3) - 1 freq
barbed (3) - 4 freq
daubed (3) - 3 freq
baffel (3) - 1 freq
aibul (3) - 1 freq
maybee (3) - 3 freq
gael (3) - 2 freq
tassel (3) - 2 freq
aaber (3) - 22 freq
'rebel (3) - 1 freq
marbelt (3) - 1 freq
axte (3) - 1 freq
maxie (3) - 3 freq
kael (3) - 5 freq
makrel (3) - 1 freq
wastel (3) - 1 freq
maxter (3) - 5 freq
dabbed (3) - 9 freq
zaxbel (0) - 1 freq
label (4) - 57 freq
zabell (4) - 1 freq
abel (4) - 7 freq
babel (4) - 7 freq
mabel (4) - 91 freq
zdxb (5) - 1 freq
boxbed (5) - 2 freq
nobel (5) - 9 freq
'nobel (5) - 1 freq
cabal (5) - 2 freq
expel (5) - 1 freq
isobel (5) - 47 freq
sobel (5) - 1 freq
caybul (5) - 1 freq
laybil (5) - 2 freq
habbil (5) - 1 freq
axil (5) - 1 freq
ishbel (5) - 5 freq
'rebel (5) - 1 freq
axle (5) - 1 freq
aibul (5) - 1 freq
kabul (5) - 1 freq
gorbel (5) - 1 freq
gambol (5) - 1 freq
SoundEx code - Z214
zaxbel - 1 freq
MetaPhone code - SKSBL
zaxbel - 1 freq
ZAXBEL
Time to execute Levenshtein function - 0.224962 milliseconds
The Levenshtein distance is the number of characters you have to replace, insert or delete to transform one word into another, its useful for detecting typos and alternative spellings
Time to execute Double Levenshtein function - 0.404688 milliseconds
In a stroke of genius, this runs the Levenshtein function twice, once without vowels and adds the distance together, giving double weight to consonants.
Time to execute SoundEx function - 0.027886 milliseconds
Soundex is a phonetic algorithm for indexing names by sound, as pronounced in English. The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling.
Time to execute MetaPhone function - 0.039710 milliseconds
Metaphone is a phonetic algorithm, published by Lawrence Philips in 1990, for indexing words by their English pronunciation.[1] It fundamentally improves on the Soundex algorithm by using information about variations and inconsistencies in English spelling and pronunciation to produce a more accurate encoding, which does a better job of matching words and names which sound similar.
Time to execute Manually curated function - 0.000873 milliseconds
Manual Curation uses a lookup table / lexicon which has been created by hand which links words to their lemmas, and includes obvious typos and spelling variations. Not all words are covered.