A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

Levenshtein Distance

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

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

Similar words to tsmh in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tsmh (0) - 1 freq
smh (1) - 3 freq
tih (2) - 8 freq
tsig (2) - 1 freq
tash (2) - 4 freq
wsmn (2) - 1 freq
tsgm (2) - 1 freq
ttme (2) - 1 freq
sh (2) - 25 freq
ysmq (2) - 1 freq
tym (2) - 2 freq
tvh (2) - 1 freq
ssm (2) - 1 freq
tumb (2) - 1 freq
ash (2) - 32 freq
lamh (2) - 1 freq
sch (2) - 4 freq
nsh (2) - 1 freq
tmi (2) - 1 freq
tosh (2) - 7 freq
t'm (2) - 3 freq
sma (2) - 268 freq
tich (2) - 2 freq
tmv (2) - 1 freq
time (2) - 5974 freq
tsmh (0) - 1 freq
smh (2) - 3 freq
tush (3) - 1 freq
tosh (3) - 7 freq
tash (3) - 4 freq
sshh (4) - 4 freq
tsl (4) - 2 freq
tum (4) - 17 freq
tim' (4) - 43 freq
tome (4) - 4 freq
qmh (4) - 1 freq
esh (4) - 6 freq
gsoh (4) - 2 freq
treh (4) - 3 freq
tah (4) - 2 freq
tsk (4) - 2 freq
tss (4) - 2 freq
tsb (4) - 1 freq
tumt (4) - 1 freq
temp (4) - 734 freq
psml (4) - 23 freq
tom (4) - 134 freq
msm (4) - 29 freq
ts (4) - 44 freq
sth (4) - 1 freq
SoundEx code - T250
teachin - 163 freq
thoosan - 114 freq
takkin - 508 freq
touchin - 45 freq
takin - 453 freq
token - 12 freq
taken - 122 freq
tossin - 18 freq
takken - 15 freq
tiggin - 2 freq
teasin - 9 freq
tichin - 1 freq
taksna - 1 freq
tookna - 1 freq
tokin - 4 freq
tuckin - 9 freq
tookin - 2 freq
takin' - 10 freq
teasin' - 1 freq
thousan - 44 freq
thoosin - 1 freq
techno - 3 freq
tisen - 1 freq
theikin - 2 freq
takan - 10 freq
taison - 1 freq
tuggin - 7 freq
taikin - 1 freq
thoosen - 2 freq
tikken - 6 freq
taykeen - 1 freq
tak'n - 1 freq
thoosan' - 1 freq
tickin - 8 freq
twesna - 1 freq
taakin - 107 freq
taxin - 8 freq
thickin - 1 freq
ticino - 1 freq
taggin - 3 freq
teason - 2 freq
taichin - 11 freq
tak'in - 1 freq
tichen - 3 freq
tackin - 1 freq
tizin-wye - 1 freq
tizin - 3 freq
takkan - 14 freq
'techno' - 1 freq
touchan - 7 freq
tuscan - 3 freq
tuscanie - 1 freq
twasum - 18 freq
tisan - 2 freq
tuck-in - 1 freq
twiggin - 1 freq
thakin - 1 freq
tacn - 2 freq
tickan - 2 freq
tossan - 4 freq
taakan - 2 freq
taisin - 1 freq
teachin' - 10 freq
thickham - 1 freq
t'ken - 2 freq
takna - 2 freq
tooken - 1 freq
tackan - 1 freq
taiken - 7 freq
'tswana - 1 freq
taukin - 3 freq
teachan - 1 freq
twasome - 1 freq
teacheen - 1 freq
tyeukna - 1 freq
taken' - 1 freq
thiggin - 2 freq
€œtakkin - 1 freq
tocum - 1 freq
'twisna - 1 freq
tacchini - 1 freq
€œteachin - 1 freq
texin - 1 freq
tigh'en - 1 freq
tweakin - 1 freq
tacken - 2 freq
tjnwe - 1 freq
tsmh - 1 freq
tsgm - 1 freq
tkkun - 1 freq
MetaPhone code - TSM
dismay - 15 freq
dismae - 1 freq
dcemie - 1 freq
deism - 1 freq
dsimmie - 1 freq
tsmh - 1 freq
TSMH
Time to execute Levenshtein function - 0.229691 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 - 0.359977 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 - 0.028169 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 - 0.038787 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 - 0.001055 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.