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 jiners in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
jiners (0) - 6 freq
liners (1) - 2 freq
diners (1) - 1 freq
joiners (1) - 7 freq
jiner (1) - 7 freq
jyners (1) - 26 freq
jine's (1) - 1 freq
jinkers (1) - 1 freq
jines (1) - 2 freq
jinery (1) - 1 freq
miners (1) - 41 freq
ainer (2) - 2 freq
hinners (2) - 5 freq
jyners' (2) - 3 freq
rimers (2) - 1 freq
tines (2) - 7 freq
pinters (2) - 1 freq
bilers (2) - 1 freq
mines (2) - 63 freq
vivers (2) - 1 freq
uisers (2) - 17 freq
wipers (2) - 4 freq
binders (2) - 1 freq
jokers (2) - 2 freq
awners (2) - 3 freq
jiners (0) - 6 freq
joiners (1) - 7 freq
jyners (1) - 26 freq
jines (2) - 2 freq
jinery (2) - 1 freq
jinkers (2) - 1 freq
miners (2) - 41 freq
liners (2) - 2 freq
jine's (2) - 1 freq
diners (2) - 1 freq
jiner (2) - 7 freq
jints (3) - 3 freq
junes (3) - 1 freq
owners (3) - 18 freq
jeers (3) - 1 freq
juniors (3) - 16 freq
jinks (3) - 8 freq
jones (3) - 39 freq
jynery (3) - 1 freq
minors (3) - 1 freq
jylers (3) - 3 freq
jone's (3) - 1 freq
jyner's (3) - 5 freq
goners (3) - 1 freq
japers (3) - 15 freq
SoundEx code - J562
jyners' - 3 freq
jyners - 26 freq
joiners - 7 freq
jyner's - 5 freq
jiners - 6 freq
juniors - 16 freq
jenners - 6 freq
jenners' - 1 freq
jonar's - 1 freq
johnmarshall - 2 freq
MetaPhone code - JNRS
jyners' - 3 freq
jyners - 26 freq
joiners - 7 freq
jyner's - 5 freq
generous - 21 freq
jiners - 6 freq
juniors - 16 freq
jenners - 6 freq
genres - 13 freq
jenners' - 1 freq
jonar's - 1 freq
JINERS
Time to execute Levenshtein function - 0.191438 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 - 0.369578 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 - 0.027025 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 - 0.036974 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 - 0.000878 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.