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 tenement in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tenement (0) - 21 freq
tenements (1) - 20 freq
tenenent (1) - 1 freq
mevement (2) - 1 freq
tenent (2) - 2 freq
element (2) - 45 freq
atonement (2) - 1 freq
tennent (2) - 2 freq
teemen (2) - 2 freq
elements (3) - 35 freq
seevent (3) - 3 freq
repeyment (3) - 1 freq
eyntment (3) - 2 freq
waement (3) - 1 freq
monument (3) - 16 freq
tenant (3) - 14 freq
muvement (3) - 4 freq
weemen' (3) - 1 freq
refinement (3) - 3 freq
bazement (3) - 1 freq
lenient (3) - 2 freq
enagement (3) - 1 freq
easement (3) - 9 freq
segment (3) - 1 freq
degerent (3) - 1 freq
tenement (0) - 21 freq
tenenent (2) - 1 freq
atonement (2) - 1 freq
tenements (2) - 20 freq
tinamint (3) - 1 freq
tenent (3) - 2 freq
tennent (3) - 2 freq
iniment (4) - 1 freq
termint (4) - 2 freq
torment (4) - 15 freq
liniment (4) - 1 freq
moniement (4) - 1 freq
tenant (4) - 14 freq
ornament (4) - 7 freq
monument (4) - 16 freq
moniment (4) - 9 freq
ornyment (4) - 1 freq
teemen (4) - 2 freq
element (4) - 45 freq
denouement (4) - 1 freq
mevement (4) - 1 freq
ointment (5) - 5 freq
griement (5) - 1 freq
kinmont (5) - 3 freq
ternent (5) - 1 freq
SoundEx code - T555
tenement - 21 freq
tenements - 20 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 - 0.269034 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 - 0.395500 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 - 0.028591 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 - 0.039286 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.