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 outglamour in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
outglamour (0) - 1 freq
beglamour (3) - 3 freq
glamour (3) - 29 freq
lamour (4) - 1 freq
musslabour (4) - 1 freq
outlander (4) - 3 freq
outgaun (4) - 2 freq
beglamourt (4) - 1 freq
uklabour (4) - 2 freq
clamour (4) - 8 freq
outlaun (4) - 1 freq
glamur (4) - 1 freq
tratour (5) - 1 freq
nzlabour (5) - 1 freq
umour (5) - 1 freq
fifelabour (5) - 1 freq
gilmour (5) - 4 freq
cullour (5) - 6 freq
balmour (5) - 1 freq
chamour (5) - 1 freq
outplayed (5) - 1 freq
o’humour (5) - 1 freq
paramour (5) - 1 freq
lungatou (5) - 1 freq
autonomous (5) - 2 freq
outglamour (0) - 1 freq
glamour (4) - 29 freq
beglamour (4) - 3 freq
glamur (5) - 1 freq
glamourie (6) - 20 freq
beglamourt (6) - 1 freq
gilmour (6) - 4 freq
clamour (6) - 8 freq
lamour (6) - 1 freq
glaur (7) - 101 freq
glaumourie (7) - 1 freq
beglamoured (7) - 1 freq
beglamourin (7) - 5 freq
glour (7) - 1 freq
tumour (7) - 6 freq
glimer (7) - 1 freq
gulmore (7) - 1 freq
glamourit (7) - 1 freq
glamorie (7) - 1 freq
glaumer (7) - 1 freq
outlaun (7) - 1 freq
uklabour (7) - 2 freq
balmour (7) - 1 freq
outlander (7) - 3 freq
outgaun (7) - 2 freq
SoundEx code - O324
outglamour - 1 freq
ootgleetit - 1 freq
oot-sellin - 1 freq
ootskailin - 1 freq
ootclassed - 1 freq
oot-classed - 2 freq
otjlnbchat - 1 freq
MetaPhone code - OTKLMR
outglamour - 1 freq
OUTGLAMOUR
Time to execute Levenshtein function - 0.203937 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 - 0.457752 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 - 0.064219 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 - 0.038772 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 - 0.000919 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.