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 hoosehaud in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hoosehaud (0) - 62 freq
hoosehauld (1) - 2 freq
hoosehald (1) - 1 freq
hoosehauds (1) - 5 freq
househald (2) - 2 freq
hoosemaid (2) - 7 freq
hoosehold (2) - 12 freq
hoosewark (3) - 5 freq
hoose-end (3) - 2 freq
hoosedug (3) - 1 freq
household (3) - 10 freq
hoosebay (3) - 3 freq
hoosed (3) - 6 freq
hooshed (3) - 1 freq
housemaid (3) - 1 freq
hooseboun (3) - 1 freq
hoosehauders (3) - 1 freq
horsehair (3) - 3 freq
hoosemaids (3) - 1 freq
hooseholds (3) - 1 freq
yoosed (4) - 1 freq
hooshin (4) - 1 freq
homeland (4) - 1 freq
coohaund (4) - 1 freq
hooseen (4) - 1 freq
hoosehaud (0) - 62 freq
hoosehauld (2) - 2 freq
hoosehauds (2) - 5 freq
hoosehald (2) - 1 freq
hooshed (3) - 1 freq
hoosehold (3) - 12 freq
hoosemaid (3) - 7 freq
househald (3) - 2 freq
household (4) - 10 freq
housemaid (4) - 1 freq
hoosed (4) - 6 freq
housed (5) - 1 freq
hooched (5) - 3 freq
hoased (5) - 1 freq
shooshed (5) - 2 freq
hushed (5) - 10 freq
hous-heid (5) - 1 freq
house-heid (5) - 1 freq
hooshin (5) - 1 freq
hashed (5) - 4 freq
hoosehauders (5) - 1 freq
hooseboun (5) - 1 freq
hoosebay (5) - 3 freq
hoosedug (5) - 1 freq
hoose-end (5) - 2 freq
SoundEx code - H230
heicht - 53 freq
height - 45 freq
high-doh - 4 freq
hicht - 47 freq
heichtie - 1 freq
haste - 37 freq
hecht - 47 freq
hoast - 42 freq
hyst - 5 freq
heezed - 40 freq
howkit - 29 freq
hushed - 10 freq
hoched - 1 freq
hukt - 1 freq
huikd - 1 freq
hejit - 1 freq
heized - 14 freq
hissed - 45 freq
host - 37 freq
howked - 25 freq
hackt - 1 freq
hackit - 49 freq
hookit - 1 freq
hiss't - 1 freq
haughheid - 1 freq
haughty - 3 freq
hugged - 7 freq
heuked - 3 freq
hoked - 11 freq
hight - 2 freq
hawkit - 1 freq
haistie - 1 freq
haist - 5 freq
heooket - 1 freq
hoased - 1 freq
hooked - 15 freq
heised - 1 freq
hushit - 1 freq
hagged - 2 freq
haggit - 3 freq
heched - 1 freq
hoist - 5 freq
hasty - 6 freq
hacked - 9 freq
histy - 1 freq
hoaked - 2 freq
hye-shade - 2 freq
houguid - 1 freq
hoosed - 6 freq
haughed - 1 freq
hast - 2 freq
hacket - 1 freq
'haste - 1 freq
heist - 8 freq
hasthe - 1 freq
heuched - 1 freq
hockid - 1 freq
hcid - 1 freq
hized - 1 freq
hooshed - 1 freq
hoasty - 2 freq
hyste - 9 freq
hooched - 3 freq
hikit - 2 freq
hashed - 4 freq
hixt - 1 freq
hæst - 1 freq
house-heid - 1 freq
heest - 1 freq
hiked - 2 freq
hogget - 1 freq
hogsweed - 1 freq
hiegate - 1 freq
hosst - 1 freq
howzit - 1 freq
haikit - 1 freq
hoocht - 3 freq
hecht-aye - 1 freq
heisit - 1 freq
hoast' - 1 freq
his't - 1 freq
hoosehaud - 62 freq
heezit - 4 freq
hastie - 1 freq
hokkit - 1 freq
howest - 1 freq
hauchty - 1 freq
hhsssst - 1 freq
huggit - 1 freq
howgate - 2 freq
hoscote - 39 freq
haiked - 1 freq
haust - 3 freq
høst - 3 freq
haused - 3 freq
hocked - 1 freq
hockit - 3 freq
€˜hicht - 1 freq
hous-heid - 1 freq
hajget - 1 freq
hayeqt - 1 freq
hxzgt - 1 freq
hst - 1 freq
'host' - 1 freq
hosed - 1 freq
hcxiti - 1 freq
hqt - 1 freq
housed - 1 freq
MetaPhone code - HSHT
house-heid - 1 freq
hoosehaud - 62 freq
hous-heid - 1 freq
HOOSEHAUD
Time to execute Levenshtein function - 0.299304 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 - 0.522951 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 - 0.058771 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 - 0.038084 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 - 0.004076 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.