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 tenements in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tenements (0) - 19 freq
tenement (1) - 21 freq
tenenent (2) - 1 freq
tennents (2) - 5 freq
elements (2) - 35 freq
leemets (3) - 1 freq
'elements' (3) - 1 freq
moniments (3) - 4 freq
movements (3) - 9 freq
element (3) - 45 freq
atonement (3) - 1 freq
clements (3) - 1 freq
vestments (3) - 1 freq
statements (3) - 19 freq
regiments (3) - 12 freq
eyntments (3) - 1 freq
tennent's (3) - 6 freq
peyments (3) - 5 freq
teemen (3) - 2 freq
amenments (3) - 1 freq
leemeets (3) - 1 freq
monuments (3) - 9 freq
waements (3) - 1 freq
mevement (3) - 1 freq
muvements (3) - 3 freq
tenements (0) - 19 freq
tenement (2) - 21 freq
tennents (3) - 5 freq
torments (4) - 1 freq
ornyments (4) - 1 freq
ornaments (4) - 12 freq
monuments (4) - 9 freq
tennants (4) - 1 freq
atonement (4) - 1 freq
tenants (4) - 12 freq
amenments (4) - 1 freq
elements (4) - 35 freq
tenenent (4) - 1 freq
moniments (4) - 4 freq
tenentis (4) - 1 freq
pyements (5) - 1 freq
treatments (5) - 3 freq
elemints (5) - 1 freq
segments (5) - 2 freq
testaments (5) - 4 freq
teemins (5) - 1 freq
meuvements (5) - 1 freq
tinints (5) - 2 freq
tinamint (5) - 1 freq
intments (5) - 1 freq
SoundEx code - T555
tenement - 21 freq
tenements - 19 freq
tenenent - 1 freq
tinamint - 1 freq
MetaPhone code - TNMNTS
tenements - 19 freq
TENEMENTS
Time to execute Levenshtein function - 0.187679 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 - 0.403417 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 - 0.029903 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 - 0.073654 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 - 0.000823 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.