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 thummart in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
thummart (0) - 2 freq
hammart (2) - 1 freq
thulmard (2) - 2 freq
€˜thummart (2) - 1 freq
thrumman (3) - 1 freq
hemmert (3) - 4 freq
tummelt (3) - 17 freq
thuma (3) - 1 freq
hammert (3) - 4 freq
trumpat (3) - 1 freq
hummelt (3) - 2 freq
hummlt (3) - 3 freq
summat (3) - 1 freq
timmert (3) - 1 freq
thrawart (3) - 4 freq
tummlt (3) - 8 freq
trummlet (3) - 1 freq
thum-aw (3) - 1 freq
fumart (3) - 1 freq
summary (3) - 3 freq
thum-an (3) - 2 freq
tummilt (3) - 8 freq
thrummelt (3) - 1 freq
tummlet (3) - 3 freq
thumbit (3) - 1 freq
thummart (0) - 2 freq
hammart (3) - 1 freq
hammert (4) - 4 freq
timmert (4) - 1 freq
hemmert (4) - 4 freq
thulmard (4) - 2 freq
€˜thummart (4) - 1 freq
thundert (5) - 1 freq
thumper (5) - 1 freq
thumpit (5) - 2 freq
whummilt (5) - 2 freq
thumbit (5) - 1 freq
hummit (5) - 1 freq
trummelt (5) - 1 freq
whummelt (5) - 5 freq
hummer (5) - 2 freq
haimmert (5) - 1 freq
thwart (5) - 1 freq
tummlet (5) - 3 freq
nummert (5) - 4 freq
whummlet (5) - 1 freq
thunnert (5) - 2 freq
hameart (5) - 3 freq
hummelt (5) - 2 freq
trummlet (5) - 1 freq
SoundEx code - T563
thunnert - 2 freq
temerity - 1 freq
thunnered - 4 freq
timmert - 1 freq
timurd - 1 freq
thunner-rider - 1 freq
thummart - 2 freq
€˜thummart - 1 freq
timmered - 1 freq
temerat - 1 freq
tounward - 1 freq
tenortuesday - 1 freq
tionurtj - 1 freq
timmorton - 1 freq
MetaPhone code - 0MRT
thummart - 2 freq
€˜thummart - 1 freq
THUMMART
Time to execute Levenshtein function - 0.254010 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 - 0.434444 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 - 0.032973 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 - 0.038946 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 - 0.000895 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.