A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to fwmre in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fwmre (0) - 1 freq
aware (2) - 61 freq
swure (2) - 3 freq
fume (2) - 4 freq
wore (2) - 121 freq
fure (2) - 1 freq
were (2) - 4095 freq
faire (2) - 1 freq
fare (2) - 64 freq
owre (2) - 607 freq
fre (2) - 2 freq
wire (2) - 62 freq
flure (2) - 13 freq
fiere (2) - 4 freq
fire (2) - 705 freq
'were (2) - 4 freq
ftore (2) - 1 freq
fwe (2) - 1 freq
wure (2) - 5 freq
fowre (2) - 25 freq
femme (2) - 2 freq
fmrj (2) - 1 freq
famie (2) - 1 freq
wyre (2) - 5 freq
fibre (2) - 8 freq
fwmre (0) - 1 freq
fowre (3) - 25 freq
fere (4) - 18 freq
swire (4) - 1 freq
fyre (4) - 27 freq
fayre (4) - 8 freq
swore (4) - 25 freq
fibre (4) - 8 freq
sware (4) - 1 freq
ware (4) - 27 freq
wme (4) - 1 freq
flyre (4) - 1 freq
fame (4) - 48 freq
fawr (4) - 1 freq
fewr (4) - 1 freq
fower (4) - 697 freq
fowr (4) - 23 freq
fewar (4) - 1 freq
fewer (4) - 11 freq
flare (4) - 10 freq
fore (4) - 157 freq
fowmart (4) - 4 freq
wyre (4) - 5 freq
fawm (4) - 2 freq
fare (4) - 64 freq
SoundEx code - F560
finer - 14 freq
finerie - 2 freq
fooner - 4 freq
finery - 5 freq
funner - 1 freq
faemier - 2 freq
famour - 1 freq
funnier - 7 freq
fweohnor - 1 freq
fnaar - 2 freq
fwmre - 1 freq
MetaPhone code - FMR
faemier - 2 freq
famour - 1 freq
vimmer - 3 freq
fwmre - 1 freq
FWMRE
Time to execute Levenshtein function - 0.318388 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 - 0.475067 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 - 0.027641 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 - 0.037054 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 - 0.000872 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.