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 hairmles in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hairmles (0) - 1 freq
hairmless (1) - 12 freq
hairies (2) - 4 freq
hairless (2) - 2 freq
hairdnes (2) - 1 freq
harmless (2) - 6 freq
bairmless (2) - 2 freq
haimes (2) - 3 freq
hairm's (2) - 3 freq
airmies (2) - 16 freq
hairms (2) - 2 freq
chairles (2) - 16 freq
hairmed (2) - 4 freq
hailes (2) - 3 freq
hirples (2) - 7 freq
hairtless (2) - 2 freq
haimless (2) - 1 freq
harled (3) - 6 freq
aires (3) - 1 freq
charles (3) - 51 freq
lairdies (3) - 16 freq
firmlee (3) - 1 freq
hackles (3) - 3 freq
armies (3) - 4 freq
paiddles (3) - 2 freq
hairmles (0) - 1 freq
hairmless (2) - 12 freq
hairms (3) - 2 freq
hairm's (3) - 3 freq
hirples (3) - 7 freq
harmless (3) - 6 freq
hairtless (4) - 2 freq
haimless (4) - 1 freq
haurdlies (4) - 1 freq
hermless (4) - 6 freq
hummles (4) - 1 freq
harm's (4) - 1 freq
hurdles (4) - 1 freq
hermes (4) - 7 freq
haimes (4) - 3 freq
hailes (4) - 3 freq
bairmless (4) - 2 freq
hairdnes (4) - 1 freq
hairless (4) - 2 freq
airmies (4) - 16 freq
chairles (4) - 16 freq
hairmed (4) - 4 freq
hairies (4) - 4 freq
warbles (5) - 3 freq
haundles (5) - 2 freq
SoundEx code - H654
hairmless - 12 freq
harmless - 6 freq
harnless - 3 freq
hermless - 6 freq
hairmles - 1 freq
MetaPhone code - HRMLS
hairmless - 12 freq
harmless - 6 freq
hermless - 6 freq
hairmles - 1 freq
HAIRMLES
Time to execute Levenshtein function - 0.834997 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 - 1.157008 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 - 0.028078 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 - 0.100902 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 - 0.000934 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.