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 tlup in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tlup (0) - 1 freq
clup (1) - 1 freq
glup (1) - 2 freq
tdup (1) - 1 freq
tup (1) - 6 freq
lup (1) - 1 freq
glu (2) - 1 freq
tlod (2) - 1 freq
tups (2) - 2 freq
uup (2) - 4 freq
temp (2) - 734 freq
lue (2) - 5 freq
grup (2) - 52 freq
alp (2) - 1 freq
gaup (2) - 4 freq
lip (2) - 86 freq
slip (2) - 66 freq
slum (2) - 5 freq
plip (2) - 1 freq
'nup (2) - 1 freq
toud (2) - 1 freq
noup (2) - 2 freq
s'up (2) - 1 freq
tuu (2) - 1 freq
top (2) - 315 freq
tlup (0) - 1 freq
tulip (2) - 2 freq
tup (2) - 6 freq
lup (2) - 1 freq
tdup (2) - 1 freq
clup (2) - 1 freq
glup (2) - 2 freq
trip (3) - 150 freq
lep (3) - 5 freq
tipp (3) - 1 freq
tlee (3) - 2 freq
vlp (3) - 1 freq
flop (3) - 4 freq
tump (3) - 1 freq
trap (3) - 62 freq
blip (3) - 5 freq
slop (3) - 2 freq
plop (3) - 4 freq
tlew (3) - 1 freq
klp (3) - 1 freq
ttip (3) - 2 freq
itup (3) - 1 freq
clip (3) - 36 freq
tip (3) - 79 freq
lp (3) - 8 freq
SoundEx code - T410
twelve - 89 freq
twalve - 10 freq
tulip - 2 freq
'twelve - 2 freq
tea-leaf - 1 freq
tulv - 1 freq
twelfie - 1 freq
tohlp - 1 freq
tlup - 1 freq
MetaPhone code - TLP
dial-up - 2 freq
dollop - 3 freq
dollopie - 1 freq
tulip - 2 freq
dilip - 1 freq
tohlp - 1 freq
tlup - 1 freq
TLUP
Time to execute Levenshtein function - 0.268083 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 - 0.517815 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 - 0.061442 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 - 0.037385 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 - 0.000939 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.