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 playground in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
playground (0) - 6 freq
playgrund (1) - 29 freq
playgroun (1) - 2 freq
playgroond (1) - 11 freq
playgroup (2) - 4 freq
playgrun (2) - 17 freq
playgruns (2) - 1 freq
playgrunn (2) - 2 freq
pleygrund (2) - 1 freq
pleygroup (3) - 1 freq
aground (3) - 1 freq
pleygroups (3) - 1 freq
pleygrun (3) - 1 freq
play-gruns (3) - 1 freq
playhouse (4) - 1 freq
plagued (4) - 5 freq
fairground (4) - 1 freq
playin-grund (4) - 1 freq
ground (4) - 58 freq
playhous (4) - 4 freq
foreground (4) - 1 freq
around (4) - 158 freq
background (4) - 14 freq
plasfron (4) - 1 freq
langtoun (4) - 1 freq
playground (0) - 6 freq
playgrund (1) - 29 freq
playgroond (1) - 11 freq
pleygrund (2) - 1 freq
playgroun (2) - 2 freq
playgruns (3) - 1 freq
playgrunn (3) - 2 freq
playgrun (3) - 17 freq
pleygrun (4) - 1 freq
playgroup (4) - 4 freq
play-gruns (5) - 1 freq
aground (5) - 1 freq
pleygroups (5) - 1 freq
pleygroup (5) - 1 freq
foreground (6) - 1 freq
ground (6) - 58 freq
agrund (6) - 3 freq
plagued (6) - 5 freq
playin-grund (6) - 1 freq
fairground (6) - 1 freq
gruund (7) - 4 freq
groond (7) - 74 freq
malagroused (7) - 1 freq
pattrind (7) - 1 freq
foregrund (7) - 1 freq
SoundEx code - P426
playgrund - 29 freq
pilgrim's - 7 freq
pleasure - 74 freq
pleisures - 4 freq
plaisure - 2 freq
pleesure - 23 freq
plooshares - 1 freq
pilgrimage - 12 freq
pleasures - 11 freq
pleisur - 33 freq
playgroup - 4 freq
pleisure - 60 freq
pleyscrievin - 2 freq
playgrun - 17 freq
playgruns - 1 freq
pilgrims - 16 freq
pilgrim - 14 freq
pleisurit - 1 freq
pleesher - 2 freq
playgroond - 11 freq
pleisour - 1 freq
play-gruns - 1 freq
playground - 6 freq
polygraph - 1 freq
pleesuir - 2 freq
pleesuirs - 2 freq
pleesures - 3 freq
pliesjir - 1 freq
plagiarist - 1 freq
plaisir - 3 freq
plaesur - 2 freq
ploushare - 2 freq
plooshare - 2 freq
pleasour - 1 freq
pilgrimer - 4 freq
pluscarden - 1 freq
pleisurable - 1 freq
pilgrimers - 2 freq
pleisir - 3 freq
plagiarisin - 1 freq
playgrunn - 2 freq
pleisur-snowker - 1 freq
plagiarism - 2 freq
plei-sured - 1 freq
pleesurin - 1 freq
pilgremer - 1 freq
pleygroup - 1 freq
pleisured - 1 freq
pleisurs - 1 freq
pleygroups - 1 freq
policework - 1 freq
placards - 2 freq
placard - 2 freq
pleygrund - 1 freq
pleygrun - 1 freq
playgroun - 2 freq
pylqzqr - 1 freq
pauljcorrigan - 1 freq
pilchard - 1 freq
polisher - 1 freq
paulgardinerdj - 1 freq
plucker - 1 freq
MetaPhone code - PLKRNT
playgrund - 29 freq
playgroond - 11 freq
playground - 6 freq
pleygrund - 1 freq
PLAYGROUND
Time to execute Levenshtein function - 0.303900 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 - 0.504822 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 - 0.027537 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 - 0.068369 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 - 0.000971 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.