A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to how in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
how (0) - 1607 freq
sow (1) - 17 freq
-how (1) - 2 freq
vow (1) - 22 freq
hoh (1) - 1 freq
howd (1) - 1 freq
hob (1) - 10 freq
howl (1) - 18 freq
ow (1) - 12 freq
huw (1) - 3 freq
now (1) - 721 freq
hoc (1) - 4 freq
hoi (1) - 8 freq
gow (1) - 7 freq
hot (1) - 203 freq
hol (1) - 11 freq
cow (1) - 41 freq
howp (1) - 160 freq
mow (1) - 4 freq
hog (1) - 3 freq
hvw (1) - 1 freq
hom (1) - 38 freq
tow (1) - 44 freq
hpw (1) - 1 freq
hoe (1) - 2 freq
how (0) - 1607 freq
huw (1) - 3 freq
hoaw (1) - 1 freq
hew (1) - 8 freq
hw (1) - 1 freq
haw (1) - 106 freq
hyow (1) - 2 freq
howe (1) - 77 freq
hoo (2) - 1051 freq
hop (2) - 13 freq
oow (2) - 6 freq
howk (2) - 65 freq
ow (2) - 1 freq
hof (2) - 1 freq
'how (2) - 52 freq
hod (2) - 12 freq
show (2) - 473 freq
pow (2) - 41 freq
hon (2) - 11 freq
jow (2) - 6 freq
hou (2) - 956 freq
haaw (2) - 2 freq
hwou (2) - 1 freq
howay (2) - 4 freq
howie (2) - 52 freq
SoundEx code - H000
he - 25273 freq
'he - 77 freq
hae - 8019 freq
hoo - 1051 freq
how - 1607 freq
'hoo - 79 freq
hea - 2 freq
'hae - 31 freq
'haw - 29 freq
ha - 180 freq
huh - 15 freq
hou - 956 freq
haw - 106 freq
'how - 52 freq
hey-you - 1 freq
hee-haw - 17 freq
hue - 24 freq
howie - 52 freq
hie - 113 freq
howe - 77 freq
huey - 31 freq
'huey - 1 freq
'ha - 8 freq
hey - 157 freq
'hey - 8 freq
'hou - 21 freq
hy - 5 freq
'hi - 6 freq
hay - 124 freq
haa - 93 freq
h - 257 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 - 27 freq
hoo-oo - 1 freq
ho - 56 freq
hew - 8 freq
huw - 3 freq
hi - 67 freq
haaaa - 2 freq
haha - 65 freq
haaw - 2 freq
hiya - 27 freq
'hiya - 11 freq
hai - 4 freq
huy - 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
- 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
- 3 freq
haey - 1 freq
heeeeeee - 1 freq
hah - 4 freq
hawai'i - 1 freq
hii - 1 freq
hoo-hoo-hoo-hoo - 1 freq
heiße - 1 freq
híe - 1 freq
hyow - 2 freq
he - 47 freq
how - 15 freq
haue - 1 freq
how - 22 freq
he - 2 freq
hoo - 24 freq
hae - 2 freq
hui - 1 freq
hi - 2 freq
hoe - 2 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
hi-ay - 1 freq
hou - 1 freq
ha - 1 freq
how - 1 freq
hae - 7 freq
haw - 2 freq
hiewey - 1 freq
ha - 1 freq
hey - 6 freq
hui - 1 freq
huh - 1 freq
hoaw - 1 freq
he - 1 freq
hoi - 1 freq
hiy - 1 freq
howe - 1 freq
ho - 1 freq
hiya - 1 freq
heu - 1 freq
how - 4 freq
hw - 1 freq
hae’ - 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
ha'e - 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 - 25273 freq
'he - 77 freq
hae - 8019 freq
hoo - 1051 freq
how - 1607 freq
'hoo - 79 freq
hea - 2 freq
'hae - 31 freq
'haw - 29 freq
ha - 180 freq
huh - 15 freq
hou - 956 freq
haw - 106 freq
'how - 52 freq
hue - 24 freq
hie - 113 freq
huey - 31 freq
'huey - 1 freq
'ha - 8 freq
hey - 157 freq
'hey - 8 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 - 27 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
huy - 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
hah - 4 freq
hii - 1 freq
heiße - 1 freq
yhe - 1 freq
he - 47 freq
how - 15 freq
haue - 1 freq
how - 22 freq
he - 2 freq
hoo - 24 freq
hae - 2 freq
hui - 1 freq
hi - 2 freq
hoe - 2 freq
hoo - 4 freq
he - 9 freq
he - 23 freq
hoaw - 4 freq
hey - 2 freq
hauw - 1 freq
hi - 1 freq
hi-ay - 1 freq
hou - 1 freq
ha - 1 freq
how - 1 freq
hae - 7 freq
haw - 2 freq
ha - 1 freq
hey - 6 freq
hui - 1 freq
huh - 1 freq
hoaw - 1 freq
he - 1 freq
hoi - 1 freq
hiy - 1 freq
ho - 1 freq
heu - 1 freq
how - 4 freq
hae’ - 1 freq
“how - 2 freq
heeee - 1 freq
‘he - 1 freq
ha'e - 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
HOW
how - 1607 freq
hoo - 1051 freq
hou - 956 freq
Time to execute Levenshtein function - 0.364530 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 - 0.485393 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 - 0.030461 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 - 0.068963 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 - 0.000857 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.