A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to wizard in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
wizard (0) - 18 freq
wizard' (1) - 1 freq
lizard (1) - 32 freq
wizards (1) - 1 freq
wizzard (1) - 1 freq
wierd (2) - 4 freq
i'wizard (2) - 2 freq
wird (2) - 576 freq
hazard (2) - 2 freq
minzard (2) - 1 freq
lizards (2) - 3 freq
waard (2) - 2 freq
ward (2) - 89 freq
bizzard (2) - 1 freq
bizarn (2) - 1 freq
wizzna (3) - 6 freq
iar (3) - 2 freq
wire (3) - 62 freq
woarld (3) - 7 freq
wizny (3) - 1 freq
naard (3) - 1 freq
wid (3) - 3743 freq
tiwards (3) - 3 freq
wida (3) - 5 freq
widid (3) - 2 freq
wizard (0) - 18 freq
wizzard (2) - 1 freq
wizards (2) - 1 freq
wizard' (2) - 1 freq
lizard (2) - 32 freq
waard (3) - 2 freq
hazard (3) - 2 freq
ward (3) - 89 freq
i'wizard (3) - 2 freq
wierd (3) - 4 freq
wird (3) - 576 freq
wirdy (4) - 1 freq
wurd (4) - 185 freq
wayward (4) - 1 freq
wazrl (4) - 1 freq
werd (4) - 1 freq
weerd (4) - 1 freq
wared (4) - 9 freq
awaard (4) - 1 freq
wford (4) - 1 freq
word (4) - 697 freq
wzrz (4) - 1 freq
warid (4) - 5 freq
award (4) - 59 freq
weyward (4) - 1 freq
SoundEx code - W263
wiacraitur - 1 freq
wizard' - 1 freq
wizard - 18 freq
wizards - 1 freq
wishart - 19 freq
weegordiestrach - 1 freq
wizzard - 1 freq
wzkrduwoyl - 1 freq
MetaPhone code - WSRT
wizard' - 1 freq
wizard - 18 freq
wizzard - 1 freq
WIZARD
Time to execute Levenshtein function - 0.182385 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 - 0.333928 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 - 0.027344 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 - 0.037467 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 - 0.000831 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.