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 census in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
census (0) - 101 freq
census' (1) - 1 freq
censor (2) - 3 freq
lenses (2) - 10 freq
tenses (2) - 8 freq
jesus (2) - 843 freq
canus (2) - 1 freq
menus (2) - 3 freq
cents (2) - 3 freq
censure (2) - 1 freq
versus (2) - 7 freq
censuses (2) - 2 freq
cantus (2) - 1 freq
venus (2) - 32 freq
genius (2) - 31 freq
celsius (2) - 13 freq
genyus (2) - 1 freq
genus (2) - 2 freq
consis (2) - 1 freq
ensues (2) - 2 freq
menses (2) - 1 freq
jeesus (2) - 2 freq
senses (2) - 56 freq
censors (2) - 1 freq
consul (2) - 2 freq
census (0) - 101 freq
census' (2) - 1 freq
consis (2) - 1 freq
celsius (3) - 13 freq
cantus (3) - 1 freq
ensues (3) - 2 freq
censors (3) - 1 freq
consul (3) - 2 freq
censuses (3) - 2 freq
senses (3) - 56 freq
menses (3) - 1 freq
censor (3) - 3 freq
tenses (3) - 8 freq
lenses (3) - 10 freq
cents (3) - 3 freq
canus (3) - 1 freq
censure (3) - 1 freq
cless (4) - 131 freq
canes (4) - 2 freq
consi (4) - 8 freq
cannes (4) - 1 freq
convos (4) - 1 freq
conshis (4) - 1 freq
chess (4) - 4 freq
coensume (4) - 1 freq
SoundEx code - C522
census - 101 freq
coinages - 1 freq
conquest - 6 freq
chinges - 4 freq
chances - 60 freq
concoctions - 6 freq
changes - 58 freq
chynges - 53 freq
camschachelt - 1 freq
consciousness - 16 freq
chynge-hoose - 2 freq
concoction - 2 freq
consequences - 18 freq
consequence - 9 freq
cheinges - 9 freq
conjugal - 2 freq
chainges - 7 freq
consistency - 7 freq
cheynges - 7 freq
camsheuch - 2 freq
chaynge's - 1 freq
conscious - 24 freq
concious - 4 freq
chyngees - 1 freq
concessiouns - 1 freq
consisted - 3 freq
coansecraitit - 1 freq
chunces - 8 freq
consist - 6 freq
consigns - 1 freq
cheenges - 1 freq
chainsaaz - 1 freq
consistently - 5 freq
consistent - 19 freq
concise - 13 freq
concussion - 4 freq
chaunces - 6 freq
consecratit - 1 freq
census' - 1 freq
consists - 11 freq
'concise - 2 freq
chenges - 16 freq
concocted - 1 freq
cheinge-houssis - 1 freq
conseistit - 1 freq
chaenges - 3 freq
consisternt - 1 freq
consiously - 1 freq
consign - 1 freq
cunzies - 1 freq
consecutively - 1 freq
censuses - 2 freq
concoctin - 1 freq
conquistadors - 1 freq
consecrated - 1 freq
camshuch - 1 freq
conseistent - 1 freq
conjectures - 1 freq
concessions - 4 freq
cynicism - 4 freq
conseestin - 1 freq
chainsaws - 1 freq
connachs - 1 freq
cannases - 1 freq
camshachelt - 1 freq
conjecture - 3 freq
camshachalt - 1 freq
conseestency - 1 freq
conseistin - 1 freq
€œconcussion - 1 freq
conquests - 1 freq
consistit - 2 freq
consistentscots - 1 freq
camshach - 1 freq
concession - 2 freq
consequential - 1 freq
€™consequently - 1 freq
consciously - 3 freq
consistint - 2 freq
chaenchis - 1 freq
cheenchis - 2 freq
conshis - 1 freq
consequently - 1 freq
consiÂ’s - 1 freq
consis - 1 freq
consi's - 1 freq
changeasongtitletidoric - 12 freq
comecoachwithme - 49 freq
comecoachwime - 1 freq
cwuhmukoxw - 1 freq
MetaPhone code - SNSS
census - 101 freq
sneezes - 15 freq
senses - 56 freq
sinses - 2 freq
census' - 1 freq
sciences - 7 freq
CENSUS
Time to execute Levenshtein function - 0.191708 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 - 0.354452 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 - 0.028661 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 - 0.043036 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 - 0.001018 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.