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 items in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
items (0) - 21 freq
eitems (1) - 2 freq
item (1) - 17 freq
tems (1) - 1 freq
stems (1) - 10 freq
ideas (2) - 148 freq
sters (2) - 1 freq
feems (2) - 1 freq
fite's (2) - 1 freq
'tes (2) - 1 freq
ite (2) - 3 freq
bites (2) - 23 freq
biters (2) - 2 freq
tams (2) - 4 freq
iles (2) - 3 freq
teams (2) - 84 freq
tels (2) - 4 freq
itis (2) - 1 freq
itwes (2) - 1 freq
cites (2) - 12 freq
aitms (2) - 1 freq
weems (2) - 1 freq
steps (2) - 207 freq
stem (2) - 18 freq
atoms (2) - 8 freq
items (0) - 21 freq
tems (1) - 1 freq
eitems (1) - 2 freq
tims (2) - 8 freq
atoms (2) - 8 freq
tums (2) - 1 freq
teams (2) - 84 freq
teems (2) - 1 freq
toms (2) - 1 freq
eetems (2) - 1 freq
tams (2) - 4 freq
aitms (2) - 1 freq
item (2) - 17 freq
stems (2) - 10 freq
ters (3) - 1 freq
steams (3) - 2 freq
tamas (3) - 4 freq
tymes (3) - 14 freq
poems (3) - 279 freq
dems (3) - 6 freq
tens (3) - 13 freq
totems (3) - 3 freq
naems (3) - 16 freq
tees (3) - 3 freq
jeems (3) - 91 freq
SoundEx code - I352
i-dinna-ken-whaur - 1 freq
it-yince - 1 freq
idioms - 8 freq
it-yinst - 1 freq
items - 21 freq
i-dinna-ken-whit - 1 freq
i'dunce - 1 freq
i'things - 3 freq
i'thing - 4 freq
idyims - 2 freq
itmustveshifted - 1 freq
MetaPhone code - ITMS
idioms - 8 freq
items - 21 freq
ITEMS
Time to execute Levenshtein function - 0.171737 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 - 0.340997 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 - 0.028851 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 - 0.038454 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 - 0.000969 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.