A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to umwhile in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
umwhile (0) - 16 freq
'while (2) - 1 freq
awhile (2) - 15 freq
€˜while (2) - 1 freq
a-while (2) - 2 freq
umquhile (2) - 18 freq
while (2) - 1436 freq
wwhile (2) - 1 freq
mile (3) - 275 freq
wummile (3) - 1 freq
€œwhite (3) - 1 freq
sumwie (3) - 1 freq
smile (3) - 450 freq
whie (3) - 1 freq
rummile (3) - 1 freq
whiles (3) - 478 freq
umquhyle (3) - 5 freq
whine (3) - 5 freq
'white (3) - 2 freq
whale (3) - 31 freq
tumshie (3) - 18 freq
awhie (3) - 2 freq
quhile (3) - 5 freq
urwise (3) - 1 freq
chile (3) - 15 freq
umwhile (0) - 16 freq
umquhile (3) - 18 freq
wwhile (3) - 1 freq
a-while (3) - 2 freq
while (3) - 1436 freq
awhile (3) - 15 freq
'while (3) - 1 freq
whilie (4) - 85 freq
whole (4) - 179 freq
whyle (4) - 49 freq
whale (4) - 31 freq
whele (4) - 1 freq
whiley (4) - 12 freq
umquhyle (4) - 5 freq
€˜while (4) - 1 freq
swahili (5) - 3 freq
michele (5) - 2 freq
white (5) - 943 freq
whill (5) - 13 freq
meenwhile (5) - 1 freq
mahal (5) - 3 freq
qwhilk (5) - 1 freq
whylie (5) - 14 freq
while' (5) - 1 freq
meanwhile (5) - 42 freq
SoundEx code - U540
unweel - 2 freq
unul - 1 freq
unholy - 4 freq
unhool - 3 freq
unhalie - 1 freq
umwhile - 16 freq
unhailly - 1 freq
MetaPhone code - UMHL
umwhile - 16 freq
UMWHILE
Time to execute Levenshtein function - 0.688193 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 - 1.495936 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 - 0.027263 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 - 0.104868 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 - 0.000822 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.