A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

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Similar words to tairmed in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tairmed (0) - 1 freq
taimed (1) - 1 freq
airmed (1) - 21 freq
hairmed (1) - 4 freq
fairmed (1) - 1 freq
tailed (2) - 7 freq
tairget (2) - 10 freq
thirled (2) - 20 freq
waired (2) - 1 freq
lairned (2) - 14 freq
mairied (2) - 10 freq
pairted (2) - 5 freq
paired (2) - 1 freq
bairbed (2) - 1 freq
cairied (2) - 12 freq
staired (2) - 1 freq
cairved (2) - 15 freq
warmed (2) - 16 freq
tarred (2) - 4 freq
stairved (2) - 3 freq
taurred (2) - 1 freq
timed (2) - 4 freq
tamed (2) - 15 freq
firmed (2) - 1 freq
taisled (2) - 1 freq
tairmed (0) - 1 freq
termed (2) - 1 freq
hairmed (2) - 4 freq
fairmed (2) - 1 freq
airmed (2) - 21 freq
taimed (2) - 1 freq
tuimed (3) - 10 freq
tired (3) - 98 freq
harmed (3) - 1 freq
wirmed (3) - 2 freq
unairmed (3) - 1 freq
tirled (3) - 6 freq
tairms (3) - 11 freq
alairmed (3) - 2 freq
waarmed (3) - 3 freq
taured (3) - 2 freq
tormod (3) - 1 freq
tirred (3) - 2 freq
armed (3) - 18 freq
trimmed (3) - 8 freq
tirned (3) - 24 freq
firmed (3) - 1 freq
tairm (3) - 13 freq
farmed (3) - 1 freq
timed (3) - 4 freq
SoundEx code - T653
turnt - 621 freq
turn't - 55 freq
turnt-up - 4 freq
turned - 491 freq
thornton - 3 freq
tirnt - 21 freq
thrawn-heidit - 1 freq
trained - 27 freq
trendy - 7 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 - 2 freq
turen't - 1 freq
trends - 3 freq
trimmed - 8 freq
trendies - 3 freq
tyrant - 5 freq
traumatised - 4 freq
torrents - 3 freq
traamatic' - 1 freq
trinity - 11 freq
treend - 1 freq
truant - 2 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
tornado - 2 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 - TRMT
dreamed - 14 freq
dreamt - 38 freq
drummed - 7 freq
drameit - 1 freq
trimmed - 8 freq
dream't - 1 freq
dreymt - 1 freq
dremmed - 1 freq
dramed - 2 freq
trimmt - 1 freq
tormod - 1 freq
dremit - 1 freq
termt - 1 freq
tairmed - 1 freq
drumt - 1 freq
drummt - 1 freq
termed - 1 freq
dermot - 1 freq
TAIRMED
Time to execute Levenshtein function - 0.216082 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 - 0.346240 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 - 0.027908 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 - 0.038687 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 - 0.000838 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.