A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

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Similar words to repeyment in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
repeyment (0) - 1 freq
peyment (2) - 6 freq
repellent (2) - 1 freq
reteirment (3) - 1 freq
repeatet (3) - 6 freq
implyment (3) - 4 freq
regiment (3) - 21 freq
resentment (3) - 8 freq
repent (3) - 17 freq
represent (3) - 29 freq
deployment (3) - 1 freq
repentant (3) - 3 freq
reprent (3) - 2 freq
peyments (3) - 5 freq
greement (3) - 20 freq
element (3) - 45 freq
peymint (3) - 1 freq
tenement (3) - 21 freq
payment (3) - 4 freq
reverent (3) - 4 freq
mevement (3) - 1 freq
dependent (3) - 5 freq
remeent (3) - 2 freq
repeyed (3) - 2 freq
referent (3) - 3 freq
repeyment (0) - 1 freq
peyment (3) - 6 freq
reprent (4) - 2 freq
repent (4) - 17 freq
peymint (4) - 1 freq
regiment (4) - 21 freq
repellent (4) - 1 freq
remeent (4) - 2 freq
payment (4) - 4 freq
rolment (5) - 1 freq
raiment (5) - 2 freq
referent (5) - 3 freq
mevement (5) - 1 freq
repint (5) - 3 freq
paument (5) - 1 freq
remant (5) - 1 freq
argiement (5) - 25 freq
argyment (5) - 2 freq
airgyment (5) - 6 freq
ornyment (5) - 1 freq
deployment (5) - 1 freq
reverent (5) - 4 freq
peyments (5) - 5 freq
represent (5) - 29 freq
implyment (5) - 4 freq
SoundEx code - R155
repeyment - 1 freq
refinement - 3 freq
ripenin - 5 freq
reponin - 2 freq
ravenin - 1 freq
refinin - 2 freq
reponents - 1 freq
ruifmemmers - 1 freq
rpmmomthvo - 1 freq
rivening - 1 freq
robbiemenzies - 8 freq
MetaPhone code - RPMNT
repeyment - 1 freq
REPEYMENT
Time to execute Levenshtein function - 0.209787 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 - 0.390386 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 - 0.027800 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 - 0.037186 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 - 0.000903 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.