A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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

Similar words to entirely in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
entirely (0) - 31 freq
entirety (1) - 3 freq
entire (2) - 32 freq
entitelt (2) - 10 freq
entirelie (2) - 1 freq
untimely (2) - 5 freq
gentily (3) - 4 freq
dentily (3) - 1 freq
entity (3) - 17 freq
nicely (3) - 16 freq
enticed (3) - 2 freq
sentiree (3) - 1 freq
enthrals (3) - 1 freq
ently (3) - 2 freq
€˜timely (3) - 1 freq
ventired (3) - 4 freq
entaels (3) - 1 freq
entry (3) - 61 freq
sirely (3) - 1 freq
entel (3) - 3 freq
genuinely (3) - 24 freq
entered (3) - 39 freq
enfield (3) - 7 freq
entreat (3) - 2 freq
actively (3) - 14 freq
entirely (0) - 31 freq
entirelie (2) - 1 freq
entirety (2) - 3 freq
entire (3) - 32 freq
untimely (3) - 5 freq
ently (4) - 2 freq
entel (4) - 3 freq
enthral (4) - 2 freq
entry (4) - 61 freq
nairly (4) - 1 freq
intirls (4) - 1 freq
naitrel (4) - 3 freq
entreat (4) - 2 freq
natrel (4) - 3 freq
entitelt (4) - 10 freq
entered (4) - 39 freq
ontill (5) - 3 freq
enteer (5) - 2 freq
nately (5) - 2 freq
neerly (5) - 1 freq
naitral (5) - 35 freq
anerly (5) - 7 freq
intill (5) - 125 freq
entrie (5) - 5 freq
enrol (5) - 1 freq
SoundEx code - E536
entering - 9 freq
entry - 61 freq
enterteen's - 1 freq
entrance - 49 freq
endearin - 2 freq
entire - 32 freq
entertainment - 26 freq
entertain - 13 freq
entertainers - 3 freq
entertainer - 1 freq
entries - 34 freq
entert - 7 freq
entered - 39 freq
enterin - 20 freq
entirely - 31 freq
entourage - 5 freq
endured - 5 freq
endorsed - 3 freq
entorhinal - 1 freq
enter - 70 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 - 10 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
endurance - 3 freq
entertained - 6 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 - ENTRL
entirely - 31 freq
entirelie - 1 freq
ENTIRELY
Time to execute Levenshtein function - 0.460314 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 - 0.671227 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 - 0.028001 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 - 0.071560 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 - 0.000822 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.