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 entert in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
entert (0) - 7 freq
engert (1) - 1 freq
entent (1) - 1 freq
enter (1) - 74 freq
enters (1) - 12 freq
intert (1) - 1 freq
enterit (1) - 2 freq
inter (2) - 2 freq
edter (2) - 1 freq
setert (2) - 1 freq
anter (2) - 1 freq
venturt (2) - 8 freq
effert (2) - 1 freq
intent (2) - 37 freq
ettelt (2) - 13 freq
rendert (2) - 3 freq
exert (2) - 1 freq
genert (2) - 1 freq
etter (2) - 2 freq
enfer (2) - 1 freq
eaters (2) - 2 freq
fentest (2) - 1 freq
oxtert (2) - 6 freq
stert (2) - 438 freq
center (2) - 9 freq
entert (0) - 7 freq
enterit (1) - 2 freq
intert (1) - 1 freq
engert (2) - 1 freq
entreat (2) - 2 freq
enter (2) - 74 freq
entent (2) - 1 freq
auntert (2) - 1 freq
enters (2) - 12 freq
antlert (3) - 1 freq
uttert (3) - 1 freq
entry (3) - 61 freq
unter (3) - 1 freq
entire (3) - 32 freq
insert (3) - 3 freq
hytert (3) - 3 freq
enteer (3) - 2 freq
entirety (3) - 3 freq
inert (3) - 3 freq
ungert (3) - 1 freq
oftert (3) - 1 freq
angert (3) - 16 freq
enterin (3) - 20 freq
petert (3) - 1 freq
entered (3) - 40 freq
SoundEx code - E536
entering - 9 freq
entry - 61 freq
enterteen's - 1 freq
entrance - 51 freq
endearin - 2 freq
entire - 32 freq
entertainment - 26 freq
entertain - 13 freq
entertainers - 3 freq
entertainer - 1 freq
entries - 35 freq
entert - 7 freq
entered - 40 freq
enterin - 20 freq
entirely - 31 freq
entourage - 5 freq
endured - 5 freq
endorsed - 3 freq
entorhinal - 1 freq
enter - 74 freq
entertaint - 2 freq
entrance's - 1 freq
entertainin - 13 freq
enteer - 2 freq
endure - 17 freq
entrails - 3 freq
enterteen - 3 freq
enthral - 2 freq
enters - 12 freq
endorphins - 2 freq
endorphin - 1 freq
endurance - 4 freq
entertained - 7 freq
enterin' - 1 freq
entrics - 1 freq
enn-o-term - 1 freq
entrepreneur - 6 freq
endear - 1 freq
endurin - 6 freq
entertainmint - 1 freq
endures - 3 freq
enterprises - 2 freq
enterit - 2 freq
enterteenin - 3 freq
entrustit - 1 freq
enterprise - 7 freq
enders - 2 freq
enterprise' - 1 freq
entrim - 4 freq
entranced - 3 freq
entrepreneurs - 2 freq
entrances - 1 freq
enterprisin - 1 freq
endorsement - 4 freq
eenwattir - 1 freq
entertene - 2 freq
entrust - 1 freq
entirety - 3 freq
entrants - 3 freq
entrepreneurial - 2 freq
entherprise - 4 freq
entrapped - 1 freq
entertainit - 1 freq
entrustin - 2 freq
endre - 1 freq
entrenched - 2 freq
enterteenment - 1 freq
enthralled - 1 freq
entrie - 5 freq
entirelie - 1 freq
enthrowe - 1 freq
entrusted - 1 freq
enterteened - 1 freq
entertened - 1 freq
entretiens - 1 freq
entryphone - 1 freq
entertaimnems - 1 freq
entertaining - 6 freq
entreat - 2 freq
entrenchin - 2 freq
enthrals - 1 freq
endorse - 3 freq
entreatin - 2 freq
entryway - 1 freq
€˜enduring - 1 freq
€˜endure - 1 freq
€œendure - 1 freq
entreeweis - 1 freq
entertain'n - 1 freq
enduring - 1 freq
enterainer - 1 freq
emtardigrade - 1 freq
enthrallin - 1 freq
endearment - 1 freq
MetaPhone code - ENTRT
entert - 7 freq
entered - 40 freq
endured - 5 freq
enterit - 2 freq
entirety - 3 freq
entreat - 2 freq
ENTERT
Time to execute Levenshtein function - 0.205497 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 - 0.402745 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 - 0.030718 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 - 0.039400 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 - 0.000909 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.