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 auldhill in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
auldhill (0) - 26 freq
beldhill (2) - 2 freq
auldhill's (2) - 2 freq
guidwill (3) - 3 freq
auldyin (3) - 1 freq
quhill (3) - 1 freq
auldgit (3) - 1 freq
fullfill (3) - 3 freq
dunghill (3) - 1 freq
wellhill (3) - 1 freq
ahill (3) - 1 freq
gunhill (3) - 2 freq
auldwife (3) - 1 freq
auldyins (3) - 1 freq
auldies (3) - 1 freq
auldrife (3) - 1 freq
ahoghill (3) - 5 freq
auldtime (3) - 2 freq
hardhill (3) - 2 freq
uphill (3) - 3 freq
auld-ails (3) - 1 freq
auchmill (3) - 3 freq
muthill (3) - 1 freq
windyhill (4) - 1 freq
fuddilt (4) - 2 freq
auldhill (0) - 26 freq
beldhill (3) - 2 freq
auldhill's (4) - 2 freq
muthill (5) - 1 freq
gunhill (5) - 2 freq
auld-ails (5) - 1 freq
hardhill (5) - 2 freq
ahill (5) - 1 freq
ahoghill (5) - 5 freq
wellhill (5) - 1 freq
quhill (5) - 1 freq
goodhall (5) - 1 freq
guidwill (5) - 3 freq
uphill (5) - 3 freq
alkoholl (5) - 1 freq
leidhills (5) - 1 freq
hill (6) - 461 freq
rosehill (6) - 3 freq
thill (6) - 1 freq
acshull (6) - 1 freq
bowhill (6) - 5 freq
quheill (6) - 1 freq
tonyhill (6) - 1 freq
leill (6) - 1 freq
alsweill (6) - 1 freq
SoundEx code - A434
auldhill - 26 freq
auldhill's - 2 freq
auld-ails - 1 freq
auldlangsyne - 2 freq
alithealki - 2 freq
MetaPhone code - ALTHL
auldhill - 26 freq
AULDHILL
Time to execute Levenshtein function - 0.170248 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 - 0.323776 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 - 0.027164 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 - 0.036837 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 - 0.000838 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.