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 gagarin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
gagarin (0) - 2 freq
gaarin (1) - 1 freq
gearin (2) - 2 freq
gawain (2) - 1 freq
gaggin (2) - 7 freq
daarin (2) - 1 freq
glarin (2) - 7 freq
gadarine (2) - 1 freq
gaanin (2) - 3 freq
again (2) - 2708 freq
gaain (2) - 2 freq
garrin (2) - 35 freq
gaapin (2) - 1 freq
saggin (3) - 3 freq
baain (3) - 2 freq
garrins (3) - 1 freq
glaurin (3) - 1 freq
taperin (3) - 1 freq
bygaein (3) - 1 freq
€™again (3) - 2 freq
caain (3) - 50 freq
gramarie (3) - 1 freq
gleerin (3) - 1 freq
layerin (3) - 1 freq
bargain (3) - 33 freq
gagarin (0) - 2 freq
gaarin (2) - 1 freq
gadarine (3) - 1 freq
garrin (3) - 35 freq
glarin (3) - 7 freq
gearin (3) - 2 freq
gaggin (3) - 7 freq
glaigerin (4) - 1 freq
gleerin (4) - 1 freq
agrun (4) - 1 freq
ragoran (4) - 6 freq
gurrin (4) - 1 freq
glaran (4) - 2 freq
grin (4) - 137 freq
giggin (4) - 2 freq
gaaderin (4) - 1 freq
glourin (4) - 1 freq
gowerin (4) - 1 freq
grain (4) - 78 freq
again (4) - 2708 freq
gaanin (4) - 3 freq
daarin (4) - 1 freq
gawain (4) - 1 freq
gaain (4) - 2 freq
gaapin (4) - 1 freq
SoundEx code - G265
gizzernt - 1 freq
gagarin - 2 freq
gas-iron - 1 freq
gesserant - 1 freq
€˜gesserant - 1 freq
gizzerns - 1 freq
gizzern - 1 freq
MetaPhone code - KKRN
gagarin - 2 freq
kiggerin - 1 freq
GAGARIN
Time to execute Levenshtein function - 0.285664 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 - 0.554611 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 - 0.028400 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 - 0.037570 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 - 0.000851 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.