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 yearbuik in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yearbuik (0) - 1 freq
yearbeuk (2) - 1 freq
textbuik (3) - 4 freq
atarbuck (3) - 1 freq
sea-buit (3) - 2 freq
yearnin (3) - 1 freq
tarbuck (3) - 1 freq
seabuit (3) - 1 freq
earbuds (3) - 1 freq
nearabuin (3) - 1 freq
learin (4) - 8 freq
bedruim (4) - 5 freq
notebuik (4) - 1 freq
yearly (4) - 10 freq
years' (4) - 6 freq
bruik (4) - 5 freq
beardit (4) - 2 freq
herbrie (4) - 6 freq
tearful (4) - 2 freq
recruit (4) - 2 freq
garbutt (4) - 1 freq
hearkin (4) - 1 freq
penicuik (4) - 5 freq
gearin (4) - 2 freq
€˜buik (4) - 1 freq
yearbuik (0) - 1 freq
yearbeuk (2) - 1 freq
rebuke (5) - 3 freq
erik (5) - 2 freq
artik (5) - 1 freq
arbikie (5) - 1 freq
arbeit (5) - 1 freq
rubik (5) - 1 freq
buik (5) - 415 freq
yerb (5) - 1 freq
ruik (5) - 1 freq
yark (5) - 8 freq
yerbs (5) - 2 freq
ertik (5) - 1 freq
elbuk (5) - 1 freq
atarbuck (5) - 1 freq
nearabuin (5) - 1 freq
seabuit (5) - 1 freq
yearnin (5) - 1 freq
earbuds (5) - 1 freq
yerk (5) - 3 freq
tarbuck (5) - 1 freq
arb (6) - 4 freq
erebus (6) - 1 freq
nearby (6) - 51 freq
SoundEx code - Y612
yearbeuk - 1 freq
yerbs - 2 freq
yearbuik - 1 freq
yerbaws - 1 freq
yrwuvgvi - 1 freq
yrfyyujirw - 1 freq
yyyurhuifc - 1 freq
yrviq - 1 freq
MetaPhone code - YRBK
yearbeuk - 1 freq
yearbuik - 1 freq
YEARBUIK
Time to execute Levenshtein function - 0.222451 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 - 0.402723 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 - 0.027796 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 - 0.038187 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 - 0.000890 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.