A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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

Similar words to shields in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
shields (0) - 15 freq
shiels (1) - 4 freq
sheelds (1) - 1 freq
shield (1) - 26 freq
shireldp (2) - 1 freq
shelfs (2) - 8 freq
hieds (2) - 2 freq
spiels (2) - 2 freq
shielin (2) - 1 freq
ehield (2) - 1 freq
childs (2) - 1 freq
wields (2) - 1 freq
yields (2) - 3 freq
shelts (2) - 13 freq
sheeds (2) - 5 freq
chiel's (2) - 17 freq
bields (2) - 13 freq
sheds (2) - 13 freq
sherds (2) - 2 freq
fields (2) - 148 freq
shied (2) - 1 freq
shiel (2) - 2 freq
shreds (2) - 7 freq
shells (2) - 23 freq
sheeld (2) - 1 freq
shields (0) - 15 freq
sheelds (1) - 1 freq
shaalds (2) - 2 freq
sheilds (2) - 2 freq
shield (2) - 26 freq
shiels (2) - 4 freq
shreds (3) - 7 freq
shells (3) - 23 freq
sherds (3) - 2 freq
sheeld (3) - 1 freq
shielded (3) - 3 freq
shieldin (3) - 4 freq
sheds (3) - 13 freq
shaeds (3) - 1 freq
shills (3) - 3 freq
shelfs (3) - 8 freq
childs (3) - 1 freq
shelts (3) - 13 freq
sheeds (3) - 5 freq
shallas (4) - 1 freq
shroods (4) - 2 freq
shoulda (4) - 29 freq
shoeless (4) - 1 freq
should (4) - 907 freq
chiel's (4) - 17 freq
SoundEx code - S432
slates - 53 freq
slates'll - 4 freq
sledgehammer - 3 freq
slides - 7 freq
shallots - 1 freq
shields - 15 freq
skalds - 2 freq
salutes' - 1 freq
slots - 3 freq
sclates - 14 freq
sclates'll - 1 freq
sledgin - 2 freq
silhouettes - 4 freq
sulwath's - 1 freq
scaldies - 2 freq
skaldie's - 4 freq
sledge - 6 freq
skald's - 4 freq
sclytes - 1 freq
sludge - 7 freq
salt's - 21 freq
skelets - 2 freq
slits - 4 freq
sledge-hammer - 1 freq
slate-grey - 2 freq
skulduggery - 1 freq
salads - 4 freq
skults - 1 freq
sclatch - 1 freq
salt-soor - 1 freq
saltcoats - 2 freq
slates' - 1 freq
sheelds - 1 freq
'slottsparken' - 2 freq
silts - 1 freq
scowlds - 1 freq
slaets - 3 freq
slædchis - 1 freq
saalt-scoored - 1 freq
sledges - 1 freq
shelties - 4 freq
shaalds - 2 freq
shelts - 13 freq
salts - 1 freq
saalts - 2 freq
sheilds - 2 freq
shelt's - 3 freq
slidies - 1 freq
sklates - 1 freq
skuildays - 1 freq
shelities - 1 freq
scolds - 2 freq
slotchin - 2 freq
solids - 1 freq
sloths - 1 freq
soul-destroying - 1 freq
sluts - 1 freq
slade’s - 1 freq
slady-creepers - 1 freq
sledgehammers - 1 freq
slate-cutter - 1 freq
saltsportslive - 46 freq
sltassociation - 2 freq
saltycoo - 1 freq
schooldays - 1 freq
MetaPhone code - XLTS
shallots - 1 freq
shields - 15 freq
child's - 2 freq
sheelds - 1 freq
shelties - 4 freq
shaalds - 2 freq
shelts - 13 freq
sheilds - 2 freq
chalets - 1 freq
shelt's - 3 freq
shelities - 1 freq
childs - 1 freq
SHIELDS
Time to execute Levenshtein function - 0.205712 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 - 0.369569 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 - 0.027702 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 - 0.036984 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 - 0.000841 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.