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 tweets in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tweets (0) - 56 freq
theets (1) - 1 freq
teets (1) - 2 freq
tweeds (1) - 3 freq
sweets (1) - 11 freq
tweests (1) - 1 freq
tweet (1) - 100 freq
weets (1) - 1 freq
twits (2) - 1 freq
teeth (2) - 316 freq
twists (2) - 9 freq
taesets (2) - 1 freq
tweetit (2) - 2 freq
tweetin (2) - 20 freq
eets (2) - 58 freq
weeps (2) - 1 freq
sweety (2) - 3 freq
weeds (2) - 55 freq
steets (2) - 1 freq
sweers (2) - 1 freq
teens (2) - 12 freq
tweeted (2) - 8 freq
teet (2) - 13 freq
sheets (2) - 69 freq
aweet (2) - 1 freq
tweets (0) - 56 freq
tweet (2) - 100 freq
weets (2) - 1 freq
twits (2) - 1 freq
tweests (2) - 1 freq
twats (2) - 2 freq
sweets (2) - 11 freq
theets (2) - 1 freq
teets (2) - 2 freq
tweeds (2) - 3 freq
tents (3) - 22 freq
tweeter (3) - 2 freq
tweaks (3) - 1 freq
twenes (3) - 29 freq
tests (3) - 27 freq
retweets (3) - 3 freq
texts (3) - 100 freq
twaes (3) - 2 freq
tweeters (3) - 1 freq
terts (3) - 2 freq
twilts (3) - 1 freq
sweits (3) - 2 freq
theats (3) - 2 freq
twatts (3) - 1 freq
traets (3) - 1 freq
SoundEx code - T320
that's - 2155 freq
'that's - 94 freq
tides - 22 freq
twitch - 12 freq
ted's - 1 freq
tatties - 191 freq
totties - 8 freq
tits - 32 freq
tattoos - 12 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 - 2 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 - 11 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 - TWTS
tweeds - 3 freq
twats - 2 freq
twits - 1 freq
tweets - 56 freq
tweedies - 1 freq
twatts - 1 freq
TWEETS
Time to execute Levenshtein function - 0.178967 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 - 0.328788 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 - 0.027509 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 - 0.036628 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 - 0.000847 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.