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 yorker in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yorker (0) - 1 freq
yerker (1) - 1 freq
worker (1) - 24 freq
docker (2) - 4 freq
horter (2) - 1 freq
yarket (2) - 3 freq
worked (2) - 149 freq
wirker (2) - 5 freq
looker (2) - 8 freq
yokey (2) - 2 freq
yonkee (2) - 1 freq
york (2) - 25 freq
parker (2) - 19 freq
workers (2) - 34 freq
conker (2) - 1 freq
yolkers (2) - 1 freq
yerkers (2) - 2 freq
younker (2) - 3 freq
yonder (2) - 67 freq
yocked (2) - 1 freq
locker (2) - 3 freq
cocker (2) - 1 freq
joker (2) - 7 freq
powker (2) - 5 freq
orrer (2) - 1 freq
yorker (0) - 1 freq
yerker (1) - 1 freq
worker (2) - 24 freq
marker (3) - 11 freq
warker (3) - 7 freq
werker (3) - 2 freq
hoker (3) - 1 freq
yorkies (3) - 1 freq
joaker (3) - 1 freq
derker (3) - 7 freq
barker (3) - 1 freq
jouker (3) - 2 freq
cooker (3) - 21 freq
raker (3) - 2 freq
birker (3) - 1 freq
yarder (3) - 1 freq
yarked (3) - 9 freq
sooker (3) - 2 freq
rocker (3) - 3 freq
order (3) - 277 freq
darker (3) - 9 freq
yerked (3) - 2 freq
burker (3) - 2 freq
yorkie (3) - 5 freq
merker (3) - 6 freq
SoundEx code - Y626
yorker - 1 freq
yerkers - 2 freq
yorkshire - 24 freq
yorkshireness - 1 freq
yorkshireman - 1 freq
yerker - 1 freq
MetaPhone code - YRKR
yorker - 1 freq
yerker - 1 freq
YORKER
Time to execute Levenshtein function - 0.215919 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 - 0.402296 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 - 0.030636 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 - 0.040711 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 - 0.001229 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.