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 topaz in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
topaz (0) - 1 freq
torag (2) - 1 freq
toppd (2) - 1 freq
tops (2) - 21 freq
tonal (2) - 8 freq
taz (2) - 21 freq
tobar (2) - 2 freq
toga (2) - 2 freq
toyal (2) - 1 freq
hopan (2) - 6 freq
toam (2) - 1 freq
toa (2) - 2 freq
top (2) - 315 freq
toad (2) - 5 freq
boaz (2) - 16 freq
toap (2) - 44 freq
topic (2) - 25 freq
to-an (2) - 1 freq
copan (2) - 1 freq
togas (2) - 3 freq
total (2) - 98 freq
spaz (2) - 3 freq
tupac (2) - 1 freq
today (2) - 161 freq
tomasz (2) - 4 freq
topaz (0) - 1 freq
topic (3) - 25 freq
spaz (3) - 3 freq
tupac (3) - 1 freq
paz (3) - 1 freq
top (3) - 315 freq
toap (3) - 44 freq
taz (3) - 21 freq
tops (3) - 21 freq
tiptae (4) - 6 freq
tp (4) - 5 freq
vpz (4) - 1 freq
thiz (4) - 1 freq
taper (4) - 4 freq
tihz (4) - 1 freq
types (4) - 28 freq
tepid (4) - 1 freq
tozie (4) - 3 freq
tape (4) - 30 freq
typit (4) - 3 freq
tipp (4) - 1 freq
toaps (4) - 2 freq
typos (4) - 2 freq
toapic (4) - 1 freq
type (4) - 100 freq
SoundEx code - T120
tapes - 11 freq
thieves - 25 freq
taps - 60 freq
topic - 25 freq
toaps - 2 freq
tubes - 20 freq
tbc - 4 freq
types - 28 freq
tupac - 1 freq
tabacca - 4 freq
tobacca - 1 freq
topics - 18 freq
tips - 26 freq
tabbies - 18 freq
tops - 21 freq
tabs - 4 freq
tubs - 5 freq
topaz - 1 freq
toffees - 3 freq
theif's - 1 freq
thiefs - 3 freq
toffs - 13 freq
tipsy - 3 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
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 - 60 freq
toaps - 2 freq
types - 28 freq
deeps - 7 freq
deep-sea - 4 freq
tips - 26 freq
tops - 21 freq
topaz - 1 freq
depose - 1 freq
tipsy - 3 freq
https - 4789 freq
types' - 1 freq
deep-sey - 1 freq
tups - 2 freq
doupies - 1 freq
deips - 1 freq
dpis - 1 freq
dowps - 6 freq
teips - 1 freq
typos - 2 freq
dps - 1 freq
tapis - 1 freq
dpz - 1 freq
tipps - 1 freq
'https - 1 freq
ddaps - 1 freq
‘https - 1 freq
TOPAZ
Time to execute Levenshtein function - 0.409137 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 - 0.682557 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 - 0.028753 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 - 0.040563 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 - 0.000900 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.