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 teethache in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
teethache (0) - 2 freq
toothache (2) - 4 freq
tuithache (2) - 1 freq
hertache (3) - 1 freq
heedache (3) - 2 freq
teache (3) - 1 freq
peetiable (4) - 2 freq
tee-hee (4) - 1 freq
tentacles (4) - 1 freq
teacher (4) - 370 freq
seethe (4) - 2 freq
vwehacle (4) - 1 freq
teetle (4) - 10 freq
greeshach (4) - 2 freq
teethin (4) - 1 freq
meshach (4) - 1 freq
weethick (4) - 1 freq
teech (4) - 2 freq
teeth's (4) - 2 freq
rethocht (4) - 1 freq
arothaiche (4) - 2 freq
tetrarch (4) - 6 freq
heartache (4) - 1 freq
teaches (4) - 3 freq
treacle (4) - 24 freq
teethache (0) - 2 freq
tuithache (2) - 1 freq
toothache (2) - 4 freq
arothaiche (5) - 2 freq
thoche (5) - 1 freq
tetchy (5) - 2 freq
teache (5) - 1 freq
attach (6) - 7 freq
teeth'd (6) - 1 freq
teach (6) - 86 freq
feetch (6) - 1 freq
thochy (6) - 1 freq
teachee (6) - 3 freq
teeth (6) - 321 freq
teeths (6) - 1 freq
thoch (6) - 2 freq
hertache (6) - 1 freq
teallach (6) - 1 freq
tetrarch (6) - 6 freq
titch (6) - 5 freq
tache (6) - 1 freq
titchy (6) - 2 freq
teeth's (6) - 2 freq
weethick (6) - 1 freq
heedache (6) - 2 freq
SoundEx code - T320
that's - 2203 freq
'that's - 96 freq
tides - 22 freq
twitch - 13 freq
ted's - 1 freq
tatties - 195 freq
totties - 8 freq
tits - 33 freq
tattoos - 18 freq
tuts - 7 freq
twitchy - 2 freq
tids - 2 freq
tods - 48 freq
tidies - 2 freq
tet's - 1 freq
that's' - 1 freq
thit's - 25 freq
toots - 4 freq
tae-tac - 1 freq
tide's - 4 freq
titch - 5 freq
tots - 4 freq
thuds - 3 freq
tadge - 3 freq
theats - 2 freq
tid's - 1 freq
tidgie - 1 freq
teeth's - 2 freq
tutk - 1 freq
thowts - 15 freq
teats - 1 freq
today's - 12 freq
tweeds - 3 freq
tyde's - 2 freq
tattie's - 1 freq
thaat's - 2 freq
twats - 2 freq
totsy - 1 freq
thatch - 5 freq
thoats - 13 freq
thedays - 2 freq
thoatsae - 1 freq
twits - 1 freq
thet's - 3 freq
titus - 1 freq
tut's - 1 freq
thitk - 1 freq
toatsy - 1 freq
that-wis - 1 freq
thts - 3 freq
thaddaeus - 1 freq
thats - 200 freq
thuts - 4 freq
tithes - 2 freq
toothache - 4 freq
taids - 2 freq
tweets - 56 freq
towts - 5 freq
tawties - 2 freq
tottie's - 1 freq
tittie's - 2 freq
tydes - 1 freq
tod's - 14 freq
tods' - 1 freq
'tods - 1 freq
tidy's - 1 freq
t'waatch - 1 freq
tutu's - 1 freq
theday's - 8 freq
todds - 1 freq
taeds - 1 freq
tetchy - 2 freq
'titus - 1 freq
theets - 1 freq
tethys - 1 freq
'tides' - 2 freq
thauts - 2 freq
tuithache - 1 freq
teets - 2 freq
teethache - 2 freq
titties - 1 freq
thewidds - 1 freq
thits - 1 freq
taaties - 1 freq
thatz - 2 freq
titchy - 2 freq
€œthat's - 1 freq
teds - 1 freq
teeths - 1 freq
teddies - 2 freq
taits - 1 freq
tedious - 1 freq
todd's - 2 freq
taddies - 1 freq
tatties” - 1 freq
thatÂ’s - 100 freq
tait's - 1 freq
tythes - 1 freq
todayÂ’s - 1 freq
tahtaes - 1 freq
tweedies - 1 freq
twatts - 1 freq
tats - 1 freq
totes - 1 freq
tatties' - 1 freq
‘that’s - 1 freq
MetaPhone code - T0X
toothache - 4 freq
tuithache - 1 freq
teethache - 2 freq
TEETHACHE
Time to execute Levenshtein function - 0.212820 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 - 0.396314 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 - 0.029338 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 - 0.041300 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 - 0.000917 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.