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 lairners in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
lairners (0) - 72 freq
larners (1) - 10 freq
lairners' (1) - 3 freq
lairner (1) - 5 freq
mainers (2) - 2 freq
lairne (2) - 2 freq
mairkers (2) - 1 freq
lairns (2) - 7 freq
gairdners (2) - 18 freq
lairger (2) - 9 freq
fairmers (2) - 35 freq
gairters (2) - 1 freq
lairnins (2) - 1 freq
fairness (2) - 11 freq
lairned (2) - 14 freq
sairvers (2) - 1 freq
bairneys (2) - 1 freq
liners (2) - 2 freq
sairness (2) - 8 freq
learners (2) - 6 freq
cairters (2) - 1 freq
mainners (2) - 20 freq
pairtners (2) - 19 freq
lairless (2) - 1 freq
leipers (3) - 2 freq
lairners (0) - 72 freq
larners (1) - 10 freq
learners (2) - 6 freq
lairner (2) - 5 freq
lairners' (2) - 3 freq
lairns (3) - 7 freq
liners (3) - 2 freq
lairnins (3) - 1 freq
sorners (4) - 2 freq
larries (4) - 8 freq
lairless (4) - 1 freq
learner (4) - 7 freq
loners (4) - 1 freq
mourners (4) - 6 freq
murners (4) - 1 freq
burners (4) - 7 freq
coarners (4) - 8 freq
trainers (4) - 46 freq
pairtners (4) - 19 freq
corners (4) - 36 freq
laerns (4) - 4 freq
larns (4) - 1 freq
fairness (4) - 11 freq
lairned (4) - 14 freq
gairdners (4) - 18 freq
SoundEx code - L656
lorimer's - 9 freq
lairners - 72 freq
learner - 7 freq
lorimers - 1 freq
lorimer - 30 freq
learners - 6 freq
larners - 10 freq
lairner - 5 freq
lorrimer - 1 freq
lairners' - 3 freq
MetaPhone code - LRNRS
lairners - 72 freq
learners - 6 freq
larners - 10 freq
lairners' - 3 freq
LAIRNERS
Time to execute Levenshtein function - 0.190507 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 - 0.339975 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 - 0.027403 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 - 0.036715 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.