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 ohhhhh-hoooooo in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ohhhhh-hoooooo (0) - 2 freq
'ohhhhh-hoooooo' (2) - 1 freq
whoooooo (7) - 5 freq
hoo-hoo-hoo-hoo (7) - 1 freq
oooooooooo (7) - 4 freq
yahoooooo (7) - 1 freq
whooooooo (7) - 1 freq
sooooooooo (8) - 1 freq
soooooo (8) - 2 freq
matthewjooooo (8) - 6 freq
wooooooo (8) - 1 freq
yaaaaahooooo (8) - 1 freq
sooooooo (8) - 2 freq
whoohooo (8) - 1 freq
soooooooo (8) - 1 freq
ahhhhhh (8) - 2 freq
goooooo (8) - 1 freq
ahhhhhhhhhhh (8) - 1 freq
whooooo (8) - 1 freq
woooooo (8) - 1 freq
yeeoooooooo (8) - 1 freq
oooooo (8) - 1 freq
'woooooo (8) - 1 freq
oooooooh (8) - 1 freq
yeooooooo (8) - 1 freq
ohhhhh-hoooooo (0) - 2 freq
'ohhhhh-hoooooo' (4) - 1 freq
ahhhhhh (9) - 2 freq
hoo-hoo-hoo-hoo (9) - 1 freq
'ohhhhhh (10) - 2 freq
'ahhhhhhh (11) - 1 freq
hahahahahaha (11) - 1 freq
ahhhhh (11) - 2 freq
shhhhh (11) - 1 freq
sshhhhh (12) - 1 freq
ohhhh (12) - 1 freq
hahahaha (13) - 7 freq
hech-how (13) - 1 freq
thocht-oot (13) - 1 freq
ahhhh (13) - 2 freq
yahoooooo (13) - 1 freq
sshhhhish (13) - 1 freq
shhhh (13) - 3 freq
'hahahaha (13) - 1 freq
hahhh (13) - 1 freq
whoooooo (13) - 5 freq
hush-hush (13) - 1 freq
whooooooo (13) - 1 freq
aghhhhhhhhh (13) - 1 freq
wuhuhuhuhuhu (13) - 1 freq
SoundEx code - O000
o - 56035 freq
oh - 1175 freq
o' - 2257 freq
'oh - 118 freq
'o - 35 freq
oo - 423 freq
owe - 24 freq
oe - 13 freq
ow - 12 freq
ou - 17 freq
ooh - 37 freq
'oi - 1 freq
'oo - 10 freq
ooooooooh - 1 freq
'ohhhhhh - 2 freq
ohhhh - 1 freq
ohhhhh-hoooooo - 2 freq
'ohhhhh-hoooooo' - 1 freq
'ooooooh - 1 freq
oi - 18 freq
oooh - 7 freq
oh-oh - 1 freq
'oy - 1 freq
oa - 14 freq
oui - 5 freq
owey - 1 freq
ohhh - 4 freq
ohh - 3 freq
o- - 1 freq
oy - 5 freq
oa' - 1 freq
'o' - 33 freq
'oo' - 7 freq
'ooo' - 1 freq
ooow - 1 freq
oow - 6 freq
oo' - 16 freq
ooo - 23 freq
o'' - 4 freq
ooie - 1 freq
'ow-w-w - 1 freq
o'a - 3 freq
owa - 1 freq
oooo - 4 freq
ooy - 1 freq
oye - 1 freq
ooooo - 2 freq
oweeeee - 1 freq
'oweee - 2 freq
'oa' - 1 freq
'ow - 3 freq
'oh' - 1 freq
ohe - 1 freq
oooooh - 3 freq
oo-oo - 3 freq
oooooo - 1 freq
ooooh - 6 freq
oh - 23 freq
oh - 89 freq
oi - 2 freq
o - 6 freq
oh - 2 freq
o - 7 freq
oooooooooo - 4 freq
oa - 2 freq
oo - 2 freq
ohio - 3 freq
oo - 3 freq
oh-a - 1 freq
oww - 1 freq
oioo - 1 freq
ooooo - 1 freq
o - 5 freq
ooo - 1 freq
ow-ow-ow-ow-oooyah - 1 freq
ooie - 1 freq
ou - 1 freq
ow - 1 freq
ou - 1 freq
oh - 4 freq
- 73 freq
ooohhh - 1 freq
“o - 1 freq
oee - 1 freq
-o - 1 freq
- 1 freq
oooooooahhhhhhhh - 1 freq
owieeeeee - 1 freq
‘ow’ - 1 freq
“oh - 4 freq
- 1 freq
oohhh - 2 freq
‘o - 1 freq
oweeee - 1 freq
ouh - 1 freq
ooa - 1 freq
oooooooh - 1 freq
ooohh - 1 freq
MetaPhone code - OH
ohhhhh-hoooooo - 2 freq
'ohhhhh-hoooooo' - 1 freq
ohe - 1 freq
ohio - 3 freq
OHHHHH-HOOOOOO
Time to execute Levenshtein function - 0.205332 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 - 0.357810 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 - 0.028215 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 - 0.039680 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 - 0.000861 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.