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 tump in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tump (0) - 1 freq
hump (1) - 15 freq
bump (1) - 23 freq
stump (1) - 19 freq
pump (1) - 31 freq
gump (1) - 1 freq
sump (1) - 3 freq
trump (1) - 74 freq
rump (1) - 10 freq
tume (1) - 14 freq
lump (1) - 62 freq
mump (1) - 3 freq
tums (1) - 1 freq
tumt (1) - 1 freq
thump (1) - 33 freq
tup (1) - 6 freq
dump (1) - 31 freq
tuip (1) - 4 freq
temp (1) - 734 freq
cump (1) - 1 freq
tum (1) - 17 freq
tumb (1) - 1 freq
jump (1) - 85 freq
duma (2) - 1 freq
summ (2) - 1 freq
tump (0) - 1 freq
temp (1) - 734 freq
tuip (2) - 4 freq
dump (2) - 31 freq
tup (2) - 6 freq
thump (2) - 33 freq
tumb (2) - 1 freq
timpo (2) - 1 freq
tempo (2) - 4 freq
jump (2) - 85 freq
tumt (2) - 1 freq
tum (2) - 17 freq
cump (2) - 1 freq
stump (2) - 19 freq
pump (2) - 31 freq
tums (2) - 1 freq
hump (2) - 15 freq
bump (2) - 23 freq
sump (2) - 3 freq
gump (2) - 1 freq
lump (2) - 62 freq
mump (2) - 3 freq
rump (2) - 10 freq
tume (2) - 14 freq
trump (2) - 74 freq
SoundEx code - T510
thump - 33 freq
thumb - 25 freq
tomb - 31 freq
tomboy - 1 freq
tump - 1 freq
tempo - 4 freq
temp - 734 freq
twa-an-a-hauf - 2 freq
thomp - 1 freq
thoomb - 6 freq
tumb - 1 freq
timpo - 1 freq
temp- - 7 freq
tmv - 1 freq
tnv - 1 freq
tomb” - 1 freq
tmmf - 1 freq
timehop - 1 freq
tenv - 1 freq
tywanb - 1 freq
tonyip - 1 freq
MetaPhone code - TMP
dump - 31 freq
damp - 83 freq
dumpie - 1 freq
tump - 1 freq
tempo - 4 freq
temp - 734 freq
dump' - 1 freq
timpo - 1 freq
temp- - 7 freq
TUMP
Time to execute Levenshtein function - 0.194992 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 - 0.397937 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 - 0.027521 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 - 0.042919 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 - 0.001417 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.