A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to inlaik in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
inlaik (0) - 1 freq
inlaid (1) - 3 freq
inlack (1) - 1 freq
inlaiks (1) - 1 freq
inlat (2) - 32 freq
i'lark (2) - 1 freq
slaik (2) - 1 freq
unlaek (2) - 3 freq
inlats (2) - 21 freq
sklaik (2) - 2 freq
laik (2) - 62 freq
ingait (2) - 8 freq
inla (2) - 1 freq
entaik (2) - 1 freq
inlaikit (2) - 1 freq
glaik (2) - 3 freq
inlan (2) - 1 freq
intak (2) - 2 freq
inleid (2) - 1 freq
blaik (2) - 80 freq
intack (2) - 1 freq
unlik (2) - 1 freq
inland (2) - 5 freq
claik (2) - 24 freq
snaik (2) - 2 freq
inlaik (0) - 1 freq
unlik (2) - 1 freq
inlaiks (2) - 1 freq
inlack (2) - 1 freq
inlaid (2) - 3 freq
unlaek (2) - 3 freq
glaik (3) - 3 freq
blaik (3) - 80 freq
inlan (3) - 1 freq
inleid (3) - 1 freq
claik (3) - 24 freq
onalik (3) - 1 freq
unlike (3) - 43 freq
inlaikit (3) - 1 freq
intak (3) - 2 freq
entaik (3) - 1 freq
unalik (3) - 3 freq
laik (3) - 62 freq
inlat (3) - 32 freq
slaik (3) - 1 freq
inla (3) - 1 freq
nail (4) - 46 freq
onli (4) - 40 freq
blaak (4) - 4 freq
laek (4) - 383 freq
SoundEx code - I542
in-laaw's - 1 freq
in-laws - 2 freq
inlaikit - 1 freq
inlack - 1 freq
inlaik - 1 freq
inlaiks - 1 freq
inlklin - 1 freq
inhales - 1 freq
imleyqddnp - 1 freq
iainmalzer - 1 freq
MetaPhone code - INLK
inlack - 1 freq
inlaik - 1 freq
INLAIK
Time to execute Levenshtein function - 0.322089 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 - 0.519440 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 - 0.063932 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 - 0.039702 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 - 0.000871 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.