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 jiggered in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
jiggered (0) - 3 freq
buggered (2) - 13 freq
sniggered (2) - 4 freq
fingered (2) - 1 freq
lingered (2) - 4 freq
jigged (2) - 4 freq
jigger (2) - 1 freq
jigger' (2) - 1 freq
triggered (2) - 2 freq
laggered (2) - 2 freq
pippered (3) - 1 freq
wittered (3) - 6 freq
mizzered (3) - 2 freq
jogger (3) - 1 freq
lippered (3) - 2 freq
eigged (3) - 1 freq
siffered (3) - 2 freq
figger (3) - 6 freq
moagered (3) - 1 freq
widdered (3) - 2 freq
giggled (3) - 7 freq
wiggled (3) - 3 freq
sindered (3) - 3 freq
beggerey (3) - 23 freq
angered (3) - 2 freq
jiggered (0) - 3 freq
jigger (3) - 1 freq
laggered (3) - 2 freq
jigger' (3) - 1 freq
jigged (3) - 4 freq
buggered (3) - 13 freq
jogged (4) - 2 freq
jagger (4) - 2 freq
joggers (4) - 1 freq
joggled (4) - 1 freq
jagged (4) - 9 freq
jogger (4) - 1 freq
fingered (4) - 1 freq
sniggered (4) - 4 freq
lingered (4) - 4 freq
triggered (4) - 2 freq
digger (5) - 12 freq
jowered (5) - 1 freq
jinged (5) - 1 freq
fingerd (5) - 1 freq
kiggerin (5) - 1 freq
bigged (5) - 30 freq
pigged (5) - 1 freq
rigged (5) - 11 freq
diggers (5) - 1 freq
SoundEx code - J263
jiggered - 3 freq
jesird - 1 freq
jakarta - 1 freq
MetaPhone code - JKRT
jiggered - 3 freq
jakarta - 1 freq
JIGGERED
Time to execute Levenshtein function - 0.262022 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 - 0.391649 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 - 0.027733 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 - 0.041167 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 - 0.001156 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.