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 yul-girs in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yul-girs (0) - 1 freq
yugir (3) - 2 freq
yungir (3) - 5 freq
mudgies (4) - 1 freq
auldyins (4) - 1 freq
culprits (4) - 2 freq
leirs (4) - 1 freq
culturs (4) - 3 freq
cultuir (4) - 1 freq
ful-time (4) - 2 freq
quairs (4) - 3 freq
lairs (4) - 15 freq
bulgin (4) - 6 freq
mulsies (4) - 1 freq
julius (4) - 5 freq
quhairs (4) - 1 freq
buggers (4) - 31 freq
youngir (4) - 6 freq
ludgins (4) - 8 freq
oul-time (4) - 2 freq
fuirs (4) - 1 freq
ill-gaits (4) - 1 freq
yilmuir (4) - 1 freq
bulges (4) - 2 freq
ludgers (4) - 4 freq
yul-girs (0) - 1 freq
lugars (5) - 1 freq
ludgers (5) - 4 freq
lingirs (5) - 1 freq
lagers (5) - 2 freq
sneegirs (6) - 1 freq
sudgers (6) - 5 freq
ruggers (6) - 1 freq
lingers (6) - 5 freq
ulsters (6) - 1 freq
yillmuirs (6) - 1 freq
luggies (6) - 7 freq
girs (6) - 4 freq
yolkers (6) - 1 freq
ulcers (6) - 1 freq
dungers (6) - 3 freq
fingirs (6) - 58 freq
loggers (6) - 1 freq
youngers (6) - 1 freq
gngirs (6) - 1 freq
ill-gaits (6) - 1 freq
iyl-ies (6) - 1 freq
ledgers (6) - 2 freq
lairs (6) - 15 freq
luingis (6) - 1 freq
SoundEx code - Y426
yallicrack - 1 freq
yolkers - 1 freq
ylgckrvnk - 1 freq
yljorzic - 1 freq
yul-girs - 1 freq
ylzrj - 1 freq
MetaPhone code - YLJRS
yul-girs - 1 freq
YUL-GIRS
Time to execute Levenshtein function - 0.203781 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 - 0.399965 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 - 0.029318 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 - 0.039323 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 - 0.000876 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.