A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to tutorial in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tutorial (0) - 2 freq
tutorials (1) - 3 freq
manorial (3) - 1 freq
buirial (3) - 4 freq
sartorial (3) - 2 freq
utopias (3) - 1 freq
burial (3) - 12 freq
tutor (3) - 8 freq
tutors' (3) - 1 freq
trial (3) - 82 freq
equatorial (3) - 2 freq
utopian (3) - 4 freq
utopia (3) - 1 freq
astoria (3) - 1 freq
memorial (3) - 37 freq
tutors (3) - 6 freq
material (3) - 86 freq
totonia (3) - 1 freq
thrial (3) - 1 freq
editorial (3) - 26 freq
tuttan (4) - 1 freq
retiral (4) - 5 freq
suttil (4) - 1 freq
eternal (4) - 29 freq
nettrill (4) - 1 freq
tutorial (0) - 2 freq
tutorials (2) - 3 freq
equatorial (4) - 2 freq
tutors (4) - 6 freq
editorial (4) - 26 freq
trial (4) - 82 freq
material (4) - 86 freq
thrial (4) - 1 freq
tutor (4) - 8 freq
literal (5) - 7 freq
tetris (5) - 1 freq
total (5) - 98 freq
pitril (5) - 7 freq
natral (5) - 6 freq
natural (5) - 90 freq
neteral (5) - 1 freq
lateral (5) - 3 freq
neutral (5) - 17 freq
traal (5) - 1 freq
guttural (5) - 4 freq
tutors' (5) - 1 freq
manorial (5) - 1 freq
tutree (5) - 1 freq
astoria (5) - 1 freq
memorial (5) - 37 freq
SoundEx code - T364
tutorials - 3 freq
tatterwallop - 1 freq
tither'll - 1 freq
tatterwallopie - 1 freq
teeterlogic - 2 freq
tatterwalloppy - 1 freq
that-relativisation - 2 freq
tutorial - 2 freq
thederrywalls - 1 freq
MetaPhone code - TTRL
tutorial - 2 freq
TUTORIAL
Time to execute Levenshtein function - 0.230327 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 - 0.401328 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 - 0.039109 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 - 0.046747 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 - 0.000855 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.