A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to urchins in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
urchins (0) - 2 freq
hurchins (1) - 2 freq
urchin (1) - 2 freq
chins (2) - 5 freq
hurchin (2) - 11 freq
archin (2) - 1 freq
orchids (2) - 2 freq
etchins (2) - 1 freq
orichins (2) - 1 freq
orchis (2) - 1 freq
lurchin (2) - 1 freq
grazins (3) - 1 freq
sechin (3) - 2 freq
cursins (3) - 1 freq
chink (3) - 13 freq
whins (3) - 12 freq
'rins (3) - 1 freq
uncans (3) - 4 freq
merchin (3) - 2 freq
airchin's (3) - 1 freq
airchis (3) - 1 freq
chinks (3) - 1 freq
shins (3) - 3 freq
chips (3) - 118 freq
burthens (3) - 1 freq
urchins (0) - 2 freq
orichins (2) - 1 freq
urchin (2) - 2 freq
hurchins (2) - 2 freq
orchis (3) - 1 freq
orchids (3) - 2 freq
etchins (3) - 1 freq
chins (3) - 5 freq
rochians (3) - 1 freq
archin (3) - 1 freq
merchans (4) - 4 freq
taichins (4) - 1 freq
souchins (4) - 1 freq
archie's (4) - 14 freq
arches (4) - 17 freq
rehns (4) - 1 freq
airchin (4) - 3 freq
cheins (4) - 2 freq
chains (4) - 38 freq
schons (4) - 1 freq
erches (4) - 1 freq
machines (4) - 48 freq
chans (4) - 1 freq
archives (4) - 9 freq
chines (4) - 7 freq
SoundEx code - U625
urgency - 9 freq
urchin - 2 freq
urgent - 16 freq
urgently - 7 freq
urchins - 2 freq
urjent - 1 freq
urging - 1 freq
urzum - 1 freq
MetaPhone code - URXNS
urchins - 2 freq
URCHINS
Time to execute Levenshtein function - 0.233140 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 - 0.419714 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 - 0.033234 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 - 0.039411 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 - 0.000984 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.