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 innerly in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
innerly (0) - 2 freq
hinnerly (1) - 1 freq
gingerly (2) - 2 freq
unnerlay (2) - 1 freq
mennerly (2) - 2 freq
inner (2) - 44 freq
innerlie (2) - 6 freq
neerly (2) - 1 freq
ainerly (2) - 2 freq
anerly (2) - 7 freq
mannerly (2) - 1 freq
hinderly (2) - 1 freq
linner (3) - 2 freq
hinner (3) - 46 freq
unnerwey (3) - 1 freq
lanely (3) - 31 freq
inny (3) - 3 freq
knurly (3) - 1 freq
inwartly (3) - 1 freq
needly (3) - 4 freq
unnerlie (3) - 1 freq
sickerly (3) - 2 freq
innes (3) - 14 freq
dinner's (3) - 1 freq
dinner (3) - 130 freq
innerly (0) - 2 freq
innerlie (2) - 6 freq
unnerlay (2) - 1 freq
hinnerly (2) - 1 freq
anerly (3) - 7 freq
mannerly (3) - 1 freq
unnerlie (3) - 1 freq
ainerly (3) - 2 freq
neerly (3) - 1 freq
inner (3) - 44 freq
mennerly (3) - 2 freq
unnerx (4) - 1 freq
unnerwye (4) - 1 freq
insnorl (4) - 1 freq
nairly (4) - 1 freq
onnly (4) - 37 freq
hinnerlie (4) - 10 freq
nearly (4) - 287 freq
unnerin (4) - 1 freq
unnerway (4) - 1 freq
unnerlyin (4) - 6 freq
unner (4) - 454 freq
'nearly (4) - 1 freq
onner (4) - 3 freq
anneal (4) - 2 freq
SoundEx code - I564
innerlie - 6 freq
immoral - 5 freq
innerly - 2 freq
innerleithen - 2 freq
innerleithin - 1 freq
MetaPhone code - INRL
innerlie - 6 freq
innerly - 2 freq
INNERLY
Time to execute Levenshtein function - 0.228111 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 - 0.391859 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 - 0.029031 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 - 0.036940 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 - 0.000856 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.