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 ablow

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

Similar words to motorist in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
motorist (0) - 2 freq
motorists (1) - 3 freq
motors (2) - 35 freq
motorised (2) - 1 freq
toorist (2) - 3 freq
moorit (2) - 8 freq
motor's (2) - 3 freq
moorie (3) - 5 freq
motoki (3) - 1 freq
cooriet (3) - 8 freq
motor (3) - 164 freq
soorest (3) - 2 freq
boorish (3) - 1 freq
memorise (3) - 2 freq
arborist (3) - 1 freq
mccoist (3) - 7 freq
ologist (3) - 1 freq
trist (3) - 3 freq
motorbi (3) - 1 freq
astonist (3) - 5 freq
monority (3) - 1 freq
moors' (3) - 1 freq
theorist (3) - 1 freq
morris (3) - 14 freq
hoorish (3) - 1 freq
motorist (0) - 2 freq
motorists (2) - 3 freq
toorist (3) - 3 freq
motorised (3) - 1 freq
motors (3) - 35 freq
'tourist (4) - 1 freq
motirs (4) - 2 freq
intrist (4) - 1 freq
metadist (4) - 3 freq
moters (4) - 1 freq
trist (4) - 3 freq
tourist (4) - 48 freq
moorit (4) - 8 freq
motor's (4) - 3 freq
traist (5) - 12 freq
intrest (5) - 10 freq
maturity (5) - 1 freq
tristy (5) - 1 freq
metres (5) - 15 freq
truist (5) - 2 freq
meters (5) - 12 freq
motorbike (5) - 3 freq
moist (5) - 9 freq
towrist (5) - 5 freq
micoist (5) - 1 freq
SoundEx code - M362
mattress - 18 freq
mither's - 138 freq
mothers - 9 freq
maitters - 115 freq
matters - 29 freq
mutters - 12 freq
mithers - 80 freq
mither-side - 1 freq
metres - 15 freq
mattresses - 6 freq
mithers-in-law - 1 freq
mothers-in-law - 1 freq
meteoric - 1 freq
mattrass - 5 freq
motor's - 3 freq
motors - 35 freq
maiters - 28 freq
maitter's - 3 freq
matures - 2 freq
motorists - 3 freq
'mithers - 1 freq
motthors - 2 freq
motthor-car - 2 freq
motirs - 2 freq
motrice - 1 freq
maitiers - 1 freq
metters - 8 freq
meters - 12 freq
mother's - 3 freq
mither-son - 1 freq
mettèrs - 1 freq
mither-goat - 2 freq
mither-gab - 1 freq
midders - 8 freq
motorised - 1 freq
maittèrs - 10 freq
matters' - 1 freq
maittèrs' - 1 freq
matrix - 1 freq
midder's - 1 freq
mottir-kaars - 1 freq
mithir's - 6 freq
mither-speik - 1 freq
mattirs - 1 freq
maitters-na - 1 freq
maetirs - 1 freq
metrical - 1 freq
motorist - 2 freq
mathrick - 1 freq
mithers' - 1 freq
mathers - 2 freq
metric - 3 freq
metrically - 1 freq
motor-coach - 1 freq
motòrs - 1 freq
moters - 1 freq
metrosplaining - 1 freq
mither’s - 5 freq
mdruc - 1 freq
mattrichardson - 50 freq
madtrust - 1 freq
mattreguson - 1 freq
madras - 1 freq
mothersday - 3 freq
motorcycle - 1 freq
'mothers - 1 freq
muthers - 1 freq
MetaPhone code - MTRST
motorised - 1 freq
motorist - 2 freq
MOTORIST
Time to execute Levenshtein function - 0.212543 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 - 0.393986 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 - 0.028105 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 - 0.039920 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 - 0.000970 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.