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 walrus in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
walrus (0) - 9 freq
allus (2) - 4 freq
wards (2) - 30 freq
waarms (2) - 1 freq
warrum (2) - 1 freq
warts (2) - 5 freq
callus (2) - 1 freq
wairns (2) - 1 freq
wales (2) - 37 freq
waleys (2) - 1 freq
warum (2) - 5 freq
walks (2) - 97 freq
walnuts (2) - 6 freq
walts (2) - 1 freq
wares (2) - 6 freq
warns (2) - 2 freq
war's (2) - 3 freq
waards (2) - 1 freq
walays (2) - 1 freq
walcum (2) - 31 freq
wars (2) - 61 freq
wal's (2) - 1 freq
wall's (2) - 8 freq
wals (2) - 1 freq
walins (2) - 2 freq
walrus (0) - 9 freq
wars (3) - 61 freq
wares (3) - 6 freq
walts (3) - 1 freq
wal's (3) - 1 freq
wals (3) - 1 freq
walls (3) - 27 freq
waars (3) - 1 freq
waurs (3) - 1 freq
walins (3) - 2 freq
walks (3) - 97 freq
walays (3) - 1 freq
waleys (3) - 1 freq
wales (3) - 37 freq
walkies (4) - 8 freq
valorous (4) - 2 freq
waldies (4) - 10 freq
wls (4) - 1 freq
waters (4) - 18 freq
waals (4) - 7 freq
wilds (4) - 7 freq
welr (4) - 1 freq
whars (4) - 3 freq
whalers (4) - 8 freq
wells (4) - 19 freq
SoundEx code - W462
walrus - 9 freq
weel-rigged - 1 freq
weel-respected - 1 freq
whalers - 8 freq
wheelers - 1 freq
well-respected - 1 freq
weill-wrocht - 2 freq
weel-wrocht - 3 freq
waalruses - 1 freq
weel-regairdit - 2 freq
weel-respectit - 1 freq
weel-wirked - 1 freq
woolwork - 2 freq
wlrqslwr - 1 freq
MetaPhone code - WLRS
walrus - 9 freq
whalers - 8 freq
wheelers - 1 freq
WALRUS
Time to execute Levenshtein function - 0.186522 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 - 0.340051 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 - 0.027183 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 - 0.036686 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 - 0.000930 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.