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 yearbeuk in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yearbeuk (0) - 1 freq
yearbuik (2) - 1 freq
year-en (3) - 1 freq
yarbent (3) - 2 freq
ceukbeuk (3) - 1 freq
herbeur (3) - 1 freq
yearless (3) - 1 freq
yerseu' (3) - 1 freq
textbeuk (3) - 2 freq
chapbeuk (3) - 1 freq
derek (4) - 40 freq
lea-perk (4) - 2 freq
year'd (4) - 1 freq
arbehd (4) - 1 freq
elbuk (4) - 1 freq
yarned (4) - 2 freq
learned (4) - 79 freq
seaseek (4) - 1 freq
seabed (4) - 2 freq
fearce (4) - 1 freq
tarbet (4) - 1 freq
tarbuck (4) - 1 freq
cerberus (4) - 15 freq
seatbele (4) - 1 freq
yerkers (4) - 2 freq
yearbeuk (0) - 1 freq
yearbuik (2) - 1 freq
elbuk (5) - 1 freq
beuk (5) - 108 freq
yerk (5) - 3 freq
yerbs (5) - 2 freq
rebuke (5) - 3 freq
yark (5) - 8 freq
yerb (5) - 1 freq
rerek (5) - 1 freq
herbeur (5) - 1 freq
arbeit (5) - 1 freq
yerseu' (5) - 1 freq
ceukbeuk (5) - 1 freq
yarbent (5) - 2 freq
year-en (5) - 1 freq
erek (5) - 1 freq
yerked (6) - 2 freq
yeuk (6) - 6 freq
uarke (6) - 1 freq
verbena (6) - 1 freq
earse (6) - 4 freq
yarken (6) - 2 freq
yerer- (6) - 1 freq
reared (6) - 24 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
YEARBEUK
Time to execute Levenshtein function - 0.225828 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 - 0.414384 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 - 0.027390 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 - 0.037476 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 - 0.000858 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.