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 eamonnmallie in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
eamonnmallie (0) - 1 freq
reasonablie (5) - 1 freq
macgonnalie (5) - 1 freq
eventuallie (5) - 2 freq
mentallie (5) - 1 freq
essentiallie (5) - 1 freq
tonallie (5) - 1 freq
eannie (6) - 1 freq
eamonn (6) - 9 freq
aboundantlie (6) - 1 freq
cannilie (6) - 5 freq
eamonnss (6) - 1 freq
methodicallie (6) - 1 freq
reasonable (6) - 21 freq
donnachie (6) - 1 freq
mrjohnmellis (6) - 5 freq
akwallie (6) - 2 freq
naiturallie (6) - 2 freq
ackwallie (6) - 2 freq
monetarie (6) - 1 freq
actuallie (6) - 3 freq
eamonns (6) - 1 freq
finallie (6) - 1 freq
meninfullie (6) - 1 freq
annullit (6) - 1 freq
eamonnmallie (0) - 1 freq
mentallie (7) - 1 freq
meninfullie (7) - 1 freq
eamonnoneill (7) - 3 freq
munnell (8) - 2 freq
annville (8) - 1 freq
tonallie (8) - 1 freq
aaronneville (8) - 1 freq
essentiallie (8) - 1 freq
eventuallie (8) - 2 freq
meaninfully (9) - 1 freq
mainnerable (9) - 1 freq
minimal (9) - 9 freq
mentally (9) - 9 freq
marcmalloy (9) - 1 freq
continuallie (9) - 1 freq
monnie (9) - 5 freq
simonwhall (9) - 3 freq
minneapolis (9) - 1 freq
donnelly (9) - 1 freq
annalls (9) - 1 freq
connelly (9) - 1 freq
anomalies (9) - 2 freq
potentiallie (9) - 1 freq
marshmallae (9) - 3 freq
SoundEx code - E554
enamel - 5 freq
emmanuel - 1 freq
eamonnmallie - 1 freq
emanuel - 1 freq
MetaPhone code - EMNML
eamonnmallie - 1 freq
EAMONNMALLIE
Time to execute Levenshtein function - 0.304971 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 - 0.586986 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 - 0.059760 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 - 0.051685 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 - 0.000936 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.