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 lairger in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
lairger (0) - 9 freq
lairner (1) - 5 freq
lairge (1) - 23 freq
larger (1) - 3 freq
clairer (2) - 1 freq
wairmer (2) - 1 freq
lairned (2) - 14 freq
airier (2) - 1 freq
gairter (2) - 1 freq
cairier (2) - 1 freq
lairne (2) - 2 freq
lairie (2) - 2 freq
darger (2) - 2 freq
fairer (2) - 12 freq
hairder (2) - 16 freq
dairker (2) - 1 freq
airer (2) - 1 freq
tairget (2) - 10 freq
laiter (2) - 4 freq
laired (2) - 8 freq
ligger (2) - 1 freq
linger (2) - 5 freq
langer (2) - 223 freq
bairges (2) - 1 freq
fairmer (2) - 61 freq
lairger (0) - 9 freq
larger (1) - 3 freq
lairge (2) - 23 freq
lairner (2) - 5 freq
lairgely (3) - 5 freq
darger (3) - 2 freq
larder (3) - 9 freq
lager (3) - 38 freq
ligger (3) - 1 freq
linger (3) - 5 freq
langer (3) - 223 freq
large (3) - 56 freq
lairgs (3) - 2 freq
bairge (4) - 2 freq
burger (4) - 13 freq
tairge (4) - 2 freq
cairter (4) - 1 freq
chairger (4) - 2 freq
laicher (4) - 5 freq
vaiger (4) - 1 freq
largely (4) - 6 freq
lairners (4) - 72 freq
sairrer (4) - 1 freq
langir (4) - 7 freq
learner (4) - 7 freq
SoundEx code - L626
lurcher - 1 freq
lurchers - 1 freq
lairger - 9 freq
lurcher's - 1 freq
largoward - 1 freq
larger - 3 freq
lorcrazycatlady - 150 freq
MetaPhone code - LRJR
lairger - 9 freq
larger - 3 freq
LAIRGER
Time to execute Levenshtein function - 0.307494 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 - 0.702397 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 - 0.027661 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 - 0.088247 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 - 0.000807 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.