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 utterances in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
utterances (0) - 2 freq
utterance (1) - 4 freq
attendances (3) - 5 freq
entrances (3) - 1 freq
utteran (3) - 1 freq
owerances (3) - 1 freq
traeces (4) - 1 freq
apperance (4) - 2 freq
entrance (4) - 49 freq
sternies (4) - 1 freq
references (4) - 41 freq
butterflees (4) - 14 freq
yatt-races (4) - 1 freq
greeances (4) - 1 freq
owerance (4) - 35 freq
butternuts (4) - 1 freq
literacies (4) - 1 freq
trance (4) - 10 freq
entrance's (4) - 1 freq
stances (4) - 4 freq
attracks (4) - 1 freq
uttering (4) - 1 freq
veteran's (4) - 1 freq
tolerance (4) - 7 freq
veterans (4) - 8 freq
utterances (0) - 2 freq
utterance (2) - 4 freq
entrances (4) - 1 freq
utteran (5) - 1 freq
owerances (5) - 1 freq
attendances (5) - 5 freq
prances (6) - 1 freq
terraces (6) - 4 freq
tranches (6) - 1 freq
attracts (6) - 2 freq
veterans (6) - 8 freq
interfaces (6) - 1 freq
traces (6) - 6 freq
torrance (6) - 1 freq
clearances (6) - 12 freq
appearances (6) - 9 freq
frances (6) - 15 freq
caterans (6) - 5 freq
entranced (6) - 3 freq
tolerance (6) - 7 freq
quittances (6) - 1 freq
terence (6) - 1 freq
utterin (6) - 3 freq
assurances (6) - 2 freq
greeances (6) - 1 freq
SoundEx code - U365
uterine - 1 freq
uttering - 1 freq
utterance - 4 freq
utterances - 2 freq
utteran - 1 freq
utterin - 3 freq
u-turns - 1 freq
u-turn - 1 freq
MetaPhone code - UTRNSS
utterances - 2 freq
UTTERANCES
Time to execute Levenshtein function - 0.490640 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 - 0.994899 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 - 0.084948 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 - 0.040815 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 - 0.000948 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.