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 fitbans in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fitbans (0) - 1 freq
fitbaws (1) - 6 freq
fitba's (1) - 2 freq
fitbas (1) - 1 freq
fitba (2) - 315 freq
fitbapins (2) - 1 freq
fitman (2) - 22 freq
ribbans (2) - 1 freq
fitbaw (2) - 217 freq
fitnaes (2) - 1 freq
fitman's (2) - 2 freq
titans (2) - 1 freq
fittins (2) - 1 freq
tirbans (2) - 1 freq
fitbaÂ’ (2) - 10 freq
wittans (2) - 2 freq
fitbaa (2) - 10 freq
fittan (2) - 1 freq
fatbaws (2) - 1 freq
fitba' (2) - 12 freq
fingan (3) - 1 freq
eitan (3) - 1 freq
fitin (3) - 4 freq
raybans (3) - 1 freq
€˜bans (3) - 1 freq
fitbans (0) - 1 freq
fitbaws (2) - 6 freq
fitbas (2) - 1 freq
fitba's (2) - 2 freq
fatbaws (3) - 1 freq
fitnaes (3) - 1 freq
fitbapins (3) - 1 freq
fittins (3) - 1 freq
fittan (4) - 1 freq
wittans (4) - 2 freq
fitbaÂ’ (4) - 10 freq
fitbonny (4) - 1 freq
fitba' (4) - 12 freq
fitbaa (4) - 10 freq
ribbans (4) - 1 freq
fitba (4) - 315 freq
tirbans (4) - 1 freq
fitbaw (4) - 217 freq
fitman (4) - 22 freq
titans (4) - 1 freq
fitman's (4) - 2 freq
fit's (5) - 210 freq
fotaes (5) - 1 freq
firebaws (5) - 1 freq
fota's (5) - 3 freq
SoundEx code - F315
fatty-bannocks - 3 freq
foodbank - 5 freq
foodbanks - 2 freq
fitbans - 1 freq
fit-tappin - 1 freq
fitbonny - 1 freq
fitfine - 1 freq
fitbaÂ’n - 1 freq
MetaPhone code - FTBNS
fitbans - 1 freq
FITBANS
Time to execute Levenshtein function - 0.235510 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 - 0.591692 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 - 0.028900 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 - 0.075225 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 - 0.000869 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.