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 tenement in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tenement (0) - 21 freq
tenements (1) - 19 freq
tenenent (1) - 1 freq
atonement (2) - 1 freq
mevement (2) - 1 freq
teemen (2) - 2 freq
tenent (2) - 2 freq
element (2) - 45 freq
tennent (2) - 2 freq
repeyment (3) - 1 freq
traetment (3) - 2 freq
treatment (3) - 39 freq
seevent (3) - 3 freq
bellement (3) - 3 freq
enagement (3) - 1 freq
teletext (3) - 1 freq
movement (3) - 67 freq
segment (3) - 1 freq
ternent (3) - 1 freq
eenocent (3) - 2 freq
greement (3) - 20 freq
remeent (3) - 2 freq
regiment (3) - 21 freq
tinamint (3) - 1 freq
teemed (3) - 21 freq
tenement (0) - 21 freq
atonement (2) - 1 freq
tenenent (2) - 1 freq
tenements (2) - 19 freq
tennent (3) - 2 freq
tenent (3) - 2 freq
tinamint (3) - 1 freq
moniement (4) - 1 freq
ornament (4) - 5 freq
element (4) - 45 freq
iniment (4) - 1 freq
termint (4) - 2 freq
torment (4) - 15 freq
moniment (4) - 9 freq
denouement (4) - 1 freq
liniment (4) - 1 freq
ornyment (4) - 1 freq
tenant (4) - 14 freq
monument (4) - 16 freq
mevement (4) - 1 freq
teemen (4) - 2 freq
teemt (5) - 3 freq
entent (5) - 1 freq
basement (5) - 9 freq
tormint (5) - 1 freq
SoundEx code - T555
tenement - 21 freq
tenements - 19 freq
tenenent - 1 freq
tinamint - 1 freq
MetaPhone code - TNMNT
tenement - 21 freq
denouement - 1 freq
tinamint - 1 freq
downmanned - 1 freq
TENEMENT
Time to execute Levenshtein function - 0.188593 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 - 0.368801 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 - 0.032951 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 - 0.040173 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 - 0.000845 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.