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 netbaw in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
netbaw (0) - 1 freq
meatbaw (2) - 4 freq
nethan (2) - 3 freq
netta (2) - 6 freq
fotbaw (2) - 1 freq
fitbaw (2) - 217 freq
hetbed (3) - 1 freq
neebur (3) - 11 freq
elbow (3) - 20 freq
getan (3) - 1 freq
taw (3) - 10 freq
nebdy (3) - 1 freq
yellaw (3) - 1 freq
snowbaw (3) - 1 freq
ee-aw (3) - 1 freq
reiban (3) - 2 freq
petal (3) - 11 freq
ratbag (3) - 2 freq
nets (3) - 46 freq
fitbaa (3) - 10 freq
baw (3) - 132 freq
bethan (3) - 1 freq
neabdy (3) - 1 freq
needan (3) - 14 freq
ebban (3) - 1 freq
netbaw (0) - 1 freq
fitbaw (3) - 217 freq
fotbaw (3) - 1 freq
meatbaw (3) - 4 freq
nitb (4) - 1 freq
netta (4) - 6 freq
tbw (4) - 1 freq
nethan (4) - 3 freq
futba (5) - 1 freq
n’aw (5) - 1 freq
nettle (5) - 8 freq
new (5) - 2325 freq
fitba (5) - 315 freq
fatbaws (5) - 1 freq
neebra (5) - 3 freq
netter (5) - 6 freq
nesbit (5) - 1 freq
nebby (5) - 2 freq
fitabw (5) - 1 freq
netten (5) - 1 freq
nathan (5) - 4 freq
naetral (5) - 1 freq
ataw (5) - 8 freq
neibit (5) - 3 freq
yitba (5) - 1 freq
SoundEx code - N310
native - 94 freq
needfu - 12 freq
netbaw - 1 freq
nyatf - 1 freq
needfu' - 43 freq
nitb - 1 freq
ntbppp - 1 freq
nthf - 1 freq
MetaPhone code - NTB
netbaw - 1 freq
nitb - 1 freq
NETBAW
Time to execute Levenshtein function - 0.203726 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 - 0.359295 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 - 0.028159 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 - 0.037902 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 - 0.000923 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.