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 gasps in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
gasps (0) - 7 freq
gaups (1) - 2 freq
gaps (1) - 9 freq
gass (1) - 4 freq
gawps (1) - 1 freq
gases (1) - 6 freq
gasts (1) - 1 freq
wasps (1) - 4 freq
rasps (1) - 11 freq
gasp (1) - 37 freq
ga’s (2) - 1 freq
raspy (2) - 2 freq
games (2) - 247 freq
gaels (2) - 17 freq
gawks (2) - 6 freq
ramps (2) - 2 freq
wasp' (2) - 1 freq
gaap (2) - 1 freq
wasp (2) - 5 freq
ga's (2) - 1 freq
gams (2) - 1 freq
haps (2) - 31 freq
japs (2) - 12 freq
haeps (2) - 4 freq
raips (2) - 7 freq
gasps (0) - 7 freq
gasts (2) - 1 freq
wasps (2) - 4 freq
rasps (2) - 11 freq
gases (2) - 6 freq
gasp (2) - 37 freq
gaups (2) - 2 freq
gawps (2) - 1 freq
gaps (2) - 9 freq
gass (2) - 4 freq
gulps (3) - 6 freq
gimps (3) - 4 freq
gaspan (3) - 1 freq
gaists (3) - 1 freq
gaspit (3) - 5 freq
gapes (3) - 1 freq
gests (3) - 2 freq
waasps (3) - 1 freq
gaspin (3) - 13 freq
gasped (3) - 21 freq
graips (3) - 3 freq
gusts (3) - 5 freq
esps (3) - 2 freq
wisps (3) - 3 freq
gausp (3) - 2 freq
SoundEx code - G212
gasps - 7 freq
guiss-gabs - 1 freq
gossip's - 1 freq
gossips - 1 freq
gazpacho - 1 freq
gasbag - 1 freq
gijgpxxnhj - 1 freq
ghgvaexl - 1 freq
gukbzihywd - 1 freq
ggijbc - 1 freq
MetaPhone code - KSPS
gasps - 7 freq
gossip's - 1 freq
gossips - 1 freq
csps - 1 freq
hxwps - 1 freq
GASPS
Time to execute Levenshtein function - 0.996241 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 - 1.782742 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 - 0.107120 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 - 0.192838 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 - 0.001109 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.