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 redpath in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
redpath (0) - 2 freq
redpath's (2) - 1 freq
redials (3) - 1 freq
reddish (3) - 1 freq
redcoat (3) - 2 freq
redcard (3) - 1 freq
respite (3) - 4 freq
neath (3) - 4 freq
repaet (3) - 1 freq
death (3) - 168 freq
redraw (3) - 2 freq
reach (3) - 143 freq
teath (3) - 1 freq
fitpath (3) - 4 freq
depth (3) - 22 freq
path (3) - 176 freq
rewatch (3) - 1 freq
empathy (3) - 7 freq
i'path (3) - 1 freq
repete (3) - 1 freq
beath (3) - 3 freq
repay (3) - 1 freq
relate (3) - 15 freq
repast (3) - 1 freq
repeats (3) - 10 freq
redpath (0) - 2 freq
deepth (4) - 1 freq
redpath's (4) - 1 freq
ripeth (4) - 1 freq
depth (4) - 22 freq
haddath (5) - 25 freq
redcoats (5) - 6 freq
repeats (5) - 10 freq
reddit (5) - 13 freq
repute (5) - 12 freq
rebirth (5) - 5 freq
repeat (5) - 77 freq
'death (5) - 2 freq
dath (5) - 1 freq
reipit (5) - 2 freq
repete (5) - 1 freq
redit (5) - 2 freq
creapeth (5) - 1 freq
edith (5) - 18 freq
path (5) - 176 freq
repaet (5) - 1 freq
respite (5) - 4 freq
death (5) - 168 freq
empathy (5) - 7 freq
fitpath (5) - 4 freq
SoundEx code - R313
redoubtable - 1 freq
ratified - 9 freq
red-tipped - 1 freq
redpath's - 1 freq
redpath - 2 freq
rtepoetry - 1 freq
MetaPhone code - RTP0
redpath - 2 freq
REDPATH
Time to execute Levenshtein function - 0.192463 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 - 0.364605 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 - 0.028321 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 - 0.037722 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 - 0.000926 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.