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 tapes in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tapes (0) - 11 freq
rapes (1) - 1 freq
japes (1) - 1 freq
tape (1) - 29 freq
taes (1) - 104 freq
gapes (1) - 1 freq
taper (1) - 4 freq
takes (1) - 125 freq
apes (1) - 4 freq
types (1) - 27 freq
hapes (1) - 1 freq
taxes (1) - 24 freq
taps (1) - 59 freq
taped (1) - 4 freq
tales (1) - 149 freq
tapis (1) - 1 freq
taves (1) - 4 freq
maes (2) - 7 freq
tan's (2) - 1 freq
tate (2) - 12 freq
tanks (2) - 32 freq
ales (2) - 1 freq
thies (2) - 1 freq
tipex (2) - 3 freq
ases (2) - 1 freq
tapes (0) - 11 freq
tapis (1) - 1 freq
taps (1) - 59 freq
types (1) - 27 freq
tales (2) - 149 freq
taped (2) - 4 freq
taves (2) - 4 freq
tips (2) - 26 freq
typos (2) - 2 freq
toaps (2) - 2 freq
tups (2) - 2 freq
rapes (2) - 1 freq
tops (2) - 21 freq
gapes (2) - 1 freq
taes (2) - 104 freq
tape (2) - 29 freq
taxes (2) - 24 freq
taper (2) - 4 freq
japes (2) - 1 freq
apes (2) - 4 freq
hapes (2) - 1 freq
takes (2) - 125 freq
tipps (3) - 1 freq
sopes (3) - 1 freq
taptaes (3) - 1 freq
SoundEx code - T120
tapes - 11 freq
thieves - 24 freq
taps - 59 freq
topic - 24 freq
toaps - 2 freq
tubes - 20 freq
tbc - 4 freq
types - 27 freq
tupac - 1 freq
tabacca - 4 freq
tobacca - 1 freq
topics - 17 freq
tips - 26 freq
tabbies - 18 freq
tops - 21 freq
tabs - 4 freq
tubs - 5 freq
topaz - 1 freq
toffees - 2 freq
theif's - 1 freq
thiefs - 3 freq
toffs - 13 freq
types' - 1 freq
tobacco - 5 freq
twa-piece - 1 freq
tap-piece - 2 freq
tobaccie - 1 freq
tobaccy - 1 freq
thieves' - 2 freq
tipex - 3 freq
teabag - 1 freq
tay-bags - 2 freq
taybag - 2 freq
tups - 2 freq
tae-bash - 1 freq
toby's - 4 freq
tiefs - 2 freq
tibbie's - 1 freq
taves - 4 freq
'taves' - 1 freq
tveuk - 1 freq
toves - 1 freq
topick - 2 freq
th'abyss - 1 freq
tief's - 1 freq
tyauves - 2 freq
topicks - 1 freq
tabawcy - 1 freq
tvs - 2 freq
toapics - 1 freq
toapic - 1 freq
tibby's - 3 freq
tib's - 1 freq
teips - 1 freq
tuibs - 1 freq
typos - 2 freq
tapioca - 2 freq
typhus - 1 freq
tabaccae - 2 freq
tabbacca - 1 freq
tipsy - 2 freq
tavish - 1 freq
thebig - 1 freq
tapis - 1 freq
ttpjo - 1 freq
thopqq - 1 freq
tfqw - 1 freq
tvj - 2 freq
tyypuk - 1 freq
tavok - 1 freq
teebs - 1 freq
tobs - 1 freq
twbhgzq - 1 freq
teefs - 1 freq
twoifbysea - 1 freq
tbokg - 1 freq
tbq - 1 freq
tvxu - 1 freq
tipps - 1 freq
tiwpg - 1 freq
tevc - 1 freq
MetaPhone code - TPS
dips - 11 freq
tapes - 11 freq
taps - 59 freq
toaps - 2 freq
types - 27 freq
deeps - 7 freq
deep-sea - 4 freq
tips - 26 freq
tops - 21 freq
topaz - 1 freq
depose - 1 freq
types' - 1 freq
deep-sey - 1 freq
https - 4787 freq
tups - 2 freq
doupies - 1 freq
deips - 1 freq
dpis - 1 freq
dowps - 6 freq
teips - 1 freq
typos - 2 freq
tipsy - 2 freq
dps - 1 freq
tapis - 1 freq
dpz - 1 freq
tipps - 1 freq
'https - 1 freq
ddaps - 1 freq
‘https - 1 freq
TAPES
Time to execute Levenshtein function - 0.218812 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 - 0.562309 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 - 0.027431 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 - 0.069135 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 - 0.000801 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.