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 uid in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
uid (0) - 1 freq
huid (1) - 2 freq
iid (1) - 1 freq
'id (1) - 3 freq
nuid (1) - 1 freq
upd (1) - 1 freq
euid (1) - 4 freq
muid (1) - 7 freq
ruid (1) - 13 freq
puid (1) - 1 freq
wid (1) - 3772 freq
utd (1) - 11 freq
fuid (1) - 37 freq
pid (1) - 1 freq
kid (1) - 104 freq
did (1) - 2859 freq
lid (1) - 71 freq
aid (1) - 37 freq
tid (1) - 25 freq
usd (1) - 1 freq
uis (1) - 17 freq
uzid (1) - 1 freq
vid (1) - 4 freq
bid (1) - 77 freq
mid (1) - 60 freq
uid (0) - 1 freq
yid (1) - 87 freq
oid (1) - 1 freq
auid (1) - 1 freq
euid (1) - 4 freq
id (1) - 597 freq
eid (1) - 4 freq
iid (1) - 1 freq
ud (1) - 4 freq
aid (1) - 37 freq
di (2) - 69 freq
ad (2) - 126 freq
die (2) - 122 freq
aide (2) - 1 freq
aed (2) - 2 freq
uik (2) - 1 freq
und (2) - 12 freq
suid (2) - 47 freq
sid (2) - 19 freq
uiq (2) - 2 freq
d (2) - 462 freq
wuid (2) - 454 freq
gid (2) - 302 freq
yed (2) - 7 freq
dii (2) - 1 freq
SoundEx code - U300
ut - 9 freq
uid - 1 freq
¸'ut - 1 freq
uth - 1 freq
ud - 4 freq
utha - 1 freq
uydh - 1 freq
utd - 11 freq
uydo - 1 freq
MetaPhone code - UT
ut - 9 freq
uid - 1 freq
¸'ut - 1 freq
ud - 4 freq
uydh - 1 freq
uydo - 1 freq
UID
Time to execute Levenshtein function - 0.228443 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 - 0.390383 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 - 0.028397 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 - 0.037043 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 - 0.000955 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.