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 thrawn-heidit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
thrawn-heidit (0) - 1 freq
three-leidit (4) - 2 freq
preen-heidit (4) - 1 freq
tow-heidit (4) - 1 freq
wrang-heidit (4) - 1 freq
thrawn-gabbit (4) - 1 freq
hail-heidit (4) - 2 freq
hale-heidit (4) - 5 freq
langheidit (5) - 2 freq
airy-heidit (5) - 1 freq
reed-heidit (5) - 1 freq
baa-heidit (5) - 1 freq
seeven-heidit (5) - 1 freq
thrawn-lookin (5) - 1 freq
snake-heidit (5) - 1 freq
tousie-heidit (5) - 2 freq
bawn-heided (5) - 1 freq
heich-heidit (5) - 6 freq
half-hoidit (5) - 1 freq
bawheidit (5) - 1 freq
haill-heidit (5) - 2 freq
white-heidit (5) - 1 freq
grey-heidit (5) - 1 freq
tuim-heidit (5) - 4 freq
which-heidit (5) - 1 freq
thrawn-heidit (0) - 1 freq
thrawn-gabbit (7) - 1 freq
tow-heidit (7) - 1 freq
preen-heidit (7) - 1 freq
three-leidit (7) - 2 freq
thrawn-lookin (8) - 1 freq
thrawn-like (8) - 1 freq
haurd-heidit (8) - 1 freq
thrawn-lik (8) - 1 freq
thrawn-tonguit (8) - 1 freq
wrang-heidit (8) - 1 freq
hail-heidit (8) - 2 freq
hale-heidit (8) - 5 freq
reid-heidit (9) - 5 freq
rid-heidit (9) - 2 freq
hie-heidit (9) - 1 freq
tattie-heidit (9) - 1 freq
twa-leidit (9) - 15 freq
het-heidit (9) - 1 freq
threidit (9) - 4 freq
wan-leidit (9) - 1 freq
curly-heidit (9) - 1 freq
fair-heidit (9) - 2 freq
whyte-heidit (9) - 1 freq
grey-heidit (9) - 1 freq
SoundEx code - T653
turnt - 622 freq
turn't - 55 freq
turnt-up - 4 freq
turned - 496 freq
thornton - 3 freq
tirnt - 21 freq
thrawn-heidit - 1 freq
trained - 27 freq
trendy - 8 freq
torrent - 4 freq
trundles - 4 freq
taranty - 1 freq
thrawn-tonguit - 1 freq
turnit - 27 freq
trend - 13 freq
turn-oot - 5 freq
thorntree - 1 freq
tyrants - 3 freq
turen't - 1 freq
trends - 3 freq
tornado - 3 freq
traumatised - 5 freq
traumatise - 1 freq
truant - 3 freq
tyrant - 7 freq
trimmed - 8 freq
trendies - 3 freq
torrents - 3 freq
traamatic' - 1 freq
trinity - 11 freq
treend - 1 freq
traumatic - 3 freq
turn-oots - 1 freq
tirned - 24 freq
tirrand - 3 freq
turroundin - 1 freq
turned-up - 3 freq
train-traivel - 1 freq
turntheirsels - 1 freq
trintlin - 2 freq
turnt-oot - 1 freq
trimmt - 1 freq
tormod - 1 freq
tharmoid - 1 freq
trintle - 1 freq
teerin't - 1 freq
termt - 1 freq
tirrandom - 1 freq
turn'd - 1 freq
turnout - 3 freq
train-tracks - 1 freq
term-time - 1 freq
tirrantie - 1 freq
tairmed - 1 freq
thrummed - 3 freq
trentino-alto - 1 freq
traint - 1 freq
threi-an-twuntiet - 1 freq
tronda - 1 freq
torrential - 1 freq
tory-awned - 1 freq
turnoot - 3 freq
trowiematics - 1 freq
trundlin - 1 freq
trinidadian - 1 freq
trending - 3 freq
termed - 1 freq
trontheatre - 1 freq
turntable - 1 freq
trendaberdeen - 1 freq
terential - 1 freq
tramadol - 1 freq
trendin - 2 freq
‘trendy’ - 1 freq
thorntonloch - 2 freq
MetaPhone code - 0RNHTT
thrawn-heidit - 1 freq
THRAWN-HEIDIT
Time to execute Levenshtein function - 0.235093 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 - 0.440217 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 - 0.027880 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 - 0.036986 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 - 0.000855 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.