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 hue in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hue (0) - 24 freq
hub (1) - 31 freq
hte (1) - 1 freq
hee (1) - 289 freq
hoe (1) - 2 freq
tue (1) - 9 freq
hle (1) - 1 freq
hu (1) - 2 freq
huw (1) - 3 freq
hut (1) - 85 freq
due (1) - 177 freq
wue (1) - 1 freq
huy (1) - 4 freq
hye (1) - 6 freq
huf (1) - 1 freq
bue (1) - 1 freq
huz (1) - 22 freq
huk (1) - 1 freq
hui (1) - 1 freq
lue (1) - 5 freq
hume (1) - 10 freq
huv (1) - 1243 freq
hup (1) - 6 freq
que (1) - 6 freq
hues (1) - 1 freq
hue (0) - 24 freq
hye (1) - 6 freq
huey (1) - 31 freq
hui (1) - 1 freq
hie (1) - 113 freq
hae (1) - 8068 freq
he (1) - 25549 freq
huy (1) - 4 freq
hee (1) - 289 freq
haue (1) - 1 freq
hu (1) - 2 freq
hoe (1) - 2 freq
hyu (2) - 1 freq
hoi (2) - 8 freq
shue (2) - 2 freq
h (2) - 258 freq
uh (2) - 9 freq
hau (2) - 1 freq
hai (2) - 4 freq
hfe (2) - 2 freq
hce (2) - 1 freq
ho (2) - 56 freq
hke (2) - 22 freq
ohe (2) - 1 freq
hi (2) - 67 freq
SoundEx code - H000
he - 25549 freq
'he - 78 freq
hae - 8068 freq
hoo - 1076 freq
how - 1649 freq
'hoo - 79 freq
hea - 2 freq
'hae - 31 freq
'haw - 29 freq
ha - 181 freq
huh - 16 freq
hou - 958 freq
haw - 106 freq
'how - 51 freq
hey-you - 1 freq
hee-haw - 18 freq
hue - 24 freq
howie - 52 freq
hie - 113 freq
howe - 77 freq
huey - 31 freq
'huey - 1 freq
'ha - 8 freq
hey - 158 freq
'hey - 11 freq
'hou - 21 freq
hy - 5 freq
'hi - 6 freq
hay - 124 freq
haa - 93 freq
h - 258 freq
-hou - 1 freq
hau - 1 freq
'hay - 1 freq
hoo' - 2 freq
'howie - 1 freq
'howieeee - 1 freq
hee - 289 freq
heehaw - 194 freq
hoy - 29 freq
hoo-oo - 1 freq
ho - 56 freq
hew - 8 freq
huw - 3 freq
hi - 67 freq
haaaa - 2 freq
haha - 66 freq
haaw - 2 freq
hiya - 28 freq
'hiya - 11 freq
hai - 4 freq
hah - 7 freq
hahahahahahah - 1 freq
heeeeeeeooooo - 1 freq
hoooooo - 1 freq
huy - 4 freq
ha'e - 3 freq
hye - 6 freq
he' - 8 freq
hoi - 8 freq
hei - 257 freq
-how - 2 freq
'hahahaha - 1 freq
heh - 41 freq
ho-ho - 9 freq
hae' - 4 freq
'he' - 4 freq
hö - 1 freq
'hae' - 2 freq
'how' - 2 freq
hawaii - 5 freq
ha' - 3 freq
heehaw' - 4 freq
'hie - 1 freq
'ho- - 2 freq
'ho-ho - 4 freq
'haw-haw - 1 freq
'heehaw - 4 freq
hehaw - 1 freq
hawie - 1 freq
how-- - 1 freq
hæ - 3 freq
haey - 1 freq
heeeeeee - 1 freq
hawai'i - 1 freq
hii - 1 freq
hoo-hoo-hoo-hoo - 1 freq
heiße - 1 freq
híe - 1 freq
hyow - 2 freq
€œhe - 48 freq
€œhow - 18 freq
haue - 1 freq
€˜how - 22 freq
€¦he - 2 freq
€œhoo - 24 freq
€˜hae - 2 freq
€™hui - 1 freq
€œhi - 2 freq
hoe - 2 freq
€œhaw - 6 freq
€˜hoo - 4 freq
€˜hiyie - 1 freq
€˜h-h-h-hi-yie - 1 freq
€™he - 9 freq
€˜he - 23 freq
€˜hoaw - 4 freq
€˜hey - 2 freq
€˜hauw - 1 freq
€˜hi - 1 freq
€œhi-ay - 1 freq
€œhou - 1 freq
€˜ha - 1 freq
€¦how - 1 freq
€œhae - 7 freq
hiewey - 1 freq
€œha - 1 freq
€œhey - 6 freq
hui - 1 freq
€œhuh - 1 freq
hoaw - 1 freq
€”he - 1 freq
€œhoi - 1 freq
hiy - 1 freq
€œhowe - 1 freq
€œho - 1 freq
€œhiya - 1 freq
heu - 1 freq
€™how - 4 freq
hw - 1 freq
haeÂ’ - 1 freq
“how - 2 freq
hh - 3 freq
hahahaha - 7 freq
hahaha - 10 freq
heeee - 1 freq
hohoho - 2 freq
‘he - 1 freq
heehee - 2 freq
hahahaaha - 1 freq
hahahahahhahahahha - 1 freq
hahahahahaha - 1 freq
hahahahahahahahahaha - 1 freq
hwou - 1 freq
“he - 3 freq
hu - 2 freq
hehehe - 2 freq
hhy - 1 freq
hyu - 1 freq
‘hey - 1 freq
hehe - 3 freq
hhoh - 1 freq
'haha - 1 freq
hiyi - 2 freq
hyyh - 1 freq
hoey - 1 freq
“hae - 1 freq
'h' - 1 freq
hoho - 1 freq
hahhh - 1 freq
hihi - 6 freq
howay - 4 freq
hoh - 1 freq
MetaPhone code - H
he - 25549 freq
'he - 78 freq
hae - 8068 freq
hoo - 1076 freq
how - 1649 freq
'hoo - 79 freq
hea - 2 freq
'hae - 31 freq
'haw - 29 freq
ha - 181 freq
huh - 16 freq
hou - 958 freq
haw - 106 freq
'how - 51 freq
hue - 24 freq
hie - 113 freq
huey - 31 freq
'huey - 1 freq
'ha - 8 freq
hey - 158 freq
'hey - 11 freq
'hou - 21 freq
'hi - 6 freq
hay - 124 freq
hough - 4 freq
haa - 93 freq
-hou - 1 freq
hau - 1 freq
'hay - 1 freq
hoo' - 2 freq
hee - 289 freq
heugh - 4 freq
hoy - 29 freq
hoo-oo - 1 freq
ho - 56 freq
hew - 8 freq
huw - 3 freq
hi - 67 freq
haaaa - 2 freq
haaw - 2 freq
hai - 4 freq
hah - 7 freq
heeeeeeeooooo - 1 freq
hoooooo - 1 freq
huy - 4 freq
ha'e - 3 freq
he' - 8 freq
hoi - 8 freq
hei - 257 freq
-how - 2 freq
heh - 41 freq
hae' - 4 freq
haugh - 43 freq
'he' - 4 freq
'hae' - 2 freq
'how' - 2 freq
ha' - 3 freq
'hie - 1 freq
'ho- - 2 freq
how-- - 1 freq
haey - 1 freq
heeeeeee - 1 freq
heigh - 7 freq
hiegh - 2 freq
hii - 1 freq
heiße - 1 freq
yhe - 1 freq
€œhe - 48 freq
€œhow - 18 freq
haue - 1 freq
€˜how - 22 freq
€¦he - 2 freq
€œhoo - 24 freq
€˜hae - 2 freq
€™hui - 1 freq
€œhi - 2 freq
hoe - 2 freq
€œhaw - 6 freq
€˜hoo - 4 freq
€™he - 9 freq
€˜he - 23 freq
€˜hoaw - 4 freq
€˜hey - 2 freq
€˜hauw - 1 freq
€˜hi - 1 freq
€œhi-ay - 1 freq
€œhou - 1 freq
€˜ha - 1 freq
€¦how - 1 freq
€œhae - 7 freq
€œha - 1 freq
€œhey - 6 freq
hui - 1 freq
€œhuh - 1 freq
hoaw - 1 freq
€”he - 1 freq
€œhoi - 1 freq
hiy - 1 freq
€œho - 1 freq
heu - 1 freq
€™how - 4 freq
haeÂ’ - 1 freq
“how - 2 freq
heeee - 1 freq
‘he - 1 freq
“he - 3 freq
hu - 2 freq
hough' - 1 freq
‘hey - 1 freq
hoey - 1 freq
“hae - 1 freq
hahhh - 1 freq
hoh - 1 freq
HUE
Time to execute Levenshtein function - 0.191188 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 - 0.394285 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 - 0.028188 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 - 0.068880 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 - 0.000905 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.