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 yillmuirs in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yillmuirs (0) - 1 freq
yillmuir (1) - 8 freq
yilmuir (2) - 1 freq
fillums (4) - 5 freq
killers (4) - 9 freq
hillies (4) - 11 freq
yill's (4) - 1 freq
yirlins (4) - 1 freq
fillers (4) - 1 freq
pillars (4) - 12 freq
tillies (4) - 1 freq
smuirs (4) - 3 freq
fillims (4) - 2 freq
millies (4) - 1 freq
willies (4) - 6 freq
lillias (4) - 1 freq
villains (4) - 3 freq
muirs (4) - 21 freq
villius (4) - 2 freq
lillies (4) - 1 freq
millburn (4) - 2 freq
sillies (4) - 1 freq
sillars (4) - 2 freq
billies (4) - 14 freq
iyillies (4) - 1 freq
yillmuirs (0) - 1 freq
yillmuir (2) - 8 freq
yilmuir (4) - 1 freq
illums (5) - 1 freq
villagers (6) - 5 freq
yul-girs (6) - 1 freq
sillars (6) - 2 freq
lillies (6) - 1 freq
iyillies (6) - 1 freq
yills (6) - 2 freq
fulmars (6) - 2 freq
allers (6) - 1 freq
pillers (6) - 2 freq
muirs (6) - 21 freq
fluirs (6) - 4 freq
vimmirs (6) - 1 freq
pillars (6) - 12 freq
smuirs (6) - 3 freq
yill's (6) - 1 freq
killers (6) - 9 freq
fillums (6) - 5 freq
fillims (6) - 2 freq
fillers (6) - 1 freq
lillias (6) - 1 freq
limmers (6) - 4 freq
SoundEx code - Y456
yellowhammer - 3 freq
yillmuir - 8 freq
yilmuir - 1 freq
yillmuirs - 1 freq
MetaPhone code - YLMRS
yillmuirs - 1 freq
YILLMUIRS
Time to execute Levenshtein function - 0.214489 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 - 0.367085 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 - 0.029882 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 - 0.038262 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 - 0.000901 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.