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 thump in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
thump (0) - 33 freq
whump (1) - 2 freq
thum (1) - 463 freq
thumb (1) - 25 freq
trump (1) - 74 freq
tump (1) - 1 freq
hump (1) - 15 freq
thums (1) - 1 freq
thum- (1) - 1 freq
thomp (1) - 1 freq
thumps (1) - 5 freq
thuma (1) - 1 freq
them- (2) - 2 freq
thramp (2) - 2 freq
them' (2) - 5 freq
clump (2) - 18 freq
tfdmp (2) - 1 freq
hums (2) - 3 freq
slump (2) - 6 freq
thaum (2) - 1 freq
theme (2) - 39 freq
thim (2) - 193 freq
thrap (2) - 2 freq
thule (2) - 5 freq
stump (2) - 19 freq
thump (0) - 33 freq
thomp (1) - 1 freq
thums (2) - 1 freq
thum- (2) - 1 freq
thuma (2) - 1 freq
hump (2) - 15 freq
thumps (2) - 5 freq
tump (2) - 1 freq
whump (2) - 2 freq
thum (2) - 463 freq
thumb (2) - 25 freq
trump (2) - 74 freq
tham (3) - 43 freq
thumpin (3) - 19 freq
thyme (3) - 4 freq
thame (3) - 27 freq
chomp (3) - 3 freq
thoum (3) - 13 freq
thim- (3) - 2 freq
hmp (3) - 1 freq
thumped (3) - 5 freq
tramp (3) - 27 freq
thumper (3) - 1 freq
thrup (3) - 1 freq
thumpen (3) - 1 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 - 0MP
thump - 33 freq
thomp - 1 freq
THUMP
Time to execute Levenshtein function - 0.390723 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 - 0.570712 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 - 0.027507 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 - 0.073733 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 - 0.000893 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.