A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to texters in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
texters (0) - 1 freq
tatters (2) - 5 freq
torters (2) - 1 freq
textur (2) - 1 freq
teers (2) - 4 freq
reuters (2) - 6 freq
peters (2) - 4 freq
texes (2) - 3 freq
sesters (2) - 3 freq
eaters (2) - 2 freq
teigers (2) - 2 freq
betters (2) - 6 freq
refters (2) - 1 freq
merters (2) - 1 freq
sterters (2) - 1 freq
letters (2) - 142 freq
mixters (2) - 2 freq
efters (2) - 1 freq
belters (2) - 6 freq
teeter (2) - 1 freq
beaters (2) - 2 freq
lecters (2) - 1 freq
penters (2) - 2 freq
oxters (2) - 46 freq
texture (2) - 9 freq
texters (0) - 1 freq
textures (2) - 2 freq
baxters (3) - 4 freq
texts (3) - 101 freq
mixters (3) - 2 freq
oxters (3) - 46 freq
titters (3) - 1 freq
texture (3) - 9 freq
tweeters (3) - 1 freq
textur (3) - 1 freq
text's (3) - 1 freq
torters (3) - 1 freq
tasters (3) - 1 freq
tatters (3) - 5 freq
peiters (4) - 1 freq
techers (4) - 1 freq
tempers (4) - 2 freq
meters (4) - 12 freq
heaters (4) - 5 freq
dexter (4) - 4 freq
kelters (4) - 1 freq
pelters (4) - 9 freq
extrees (4) - 1 freq
feexturs (4) - 4 freq
tartars (4) - 1 freq
SoundEx code - T236
thegither - 842 freq
taegither - 44 freq
thegither' - 4 freq
thigether - 5 freq
the-streen - 1 freq
tichter - 11 freq
the-gither - 7 freq
together - 55 freq
thigither - 9 freq
thegithir - 5 freq
thegaither - 11 freq
tight-arsed - 1 freq
thegether - 44 freq
tegither - 4 freq
tegether - 1 freq
thouchtr - 1 freq
thegethir - 1 freq
taegether - 32 freq
taegcther - 1 freq
teckie-drawin - 6 freq
texture - 9 freq
tighter - 4 freq
tightrope - 2 freq
thegeither - 1 freq
twuster - 4 freq
twustér - 2 freq
thegither's - 2 freq
th'gither - 13 freq
th'gither' - 1 freq
teuchters - 11 freq
toaster - 6 freq
textures - 2 freq
taciturn - 1 freq
thegaithir - 1 freq
tax-gaitherers - 1 freq
texters - 1 freq
tagidder - 58 freq
textured - 2 freq
teuchter - 42 freq
t'stoaries - 1 freq
th'geither - 1 freq
thegitherness - 2 freq
tigithir - 7 freq
tigithir' - 1 freq
thegidder - 13 freq
teuchterin - 1 freq
tagedder - 2 freq
thegither-- - 1 freq
togither - 4 freq
togydder - 1 freq
ticht-reined - 1 freq
taegethir - 1 freq
'thegither' - 1 freq
tageedir - 1 freq
taygither - 1 freq
taygether - 1 freq
tuechter - 2 freq
thessehydro - 1 freq
teuchtermusic - 1 freq
tasters - 1 freq
teuchtertoni - 15 freq
teuchterontour - 1 freq
togetherdarling - 1 freq
taijdrmhw - 1 freq
tigither - 2 freq
textur - 1 freq
thoughtyouwereinyirfavecity - 1 freq
teuchterdavid - 1 freq
thegither- - 1 freq
twister - 2 freq
thestranger - 4 freq
thuckster - 14 freq
tastier - 1 freq
together' - 1 freq
toastywarm… - 1 freq
twisterfilm - 1 freq
MetaPhone code - TKSTRS
dexterous - 1 freq
textures - 2 freq
dextrous - 1 freq
texters - 1 freq
TEXTERS
Time to execute Levenshtein function - 0.191123 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 - 0.355598 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 - 0.028978 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 - 0.038238 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 - 0.000966 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.