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 pleasure in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
pleasure (0) - 74 freq
pleasures (1) - 11 freq
pleisure (1) - 60 freq
pleesure (1) - 23 freq
pressure (2) - 64 freq
pleisur (2) - 33 freq
pleesures (2) - 3 freq
pleisures (2) - 4 freq
leesure (2) - 4 freq
please (2) - 559 freq
pleisured (2) - 1 freq
pleure (2) - 1 freq
pleasour (2) - 1 freq
leisure (2) - 26 freq
le'sure (2) - 1 freq
treasure (2) - 40 freq
measure (2) - 27 freq
pleisurs (2) - 1 freq
plaisure (2) - 2 freq
pleasance (3) - 3 freq
asure (3) - 1 freq
measures (3) - 16 freq
glenure (3) - 7 freq
preshure (3) - 1 freq
meisure (3) - 20 freq
pleasure (0) - 74 freq
pleesure (1) - 23 freq
pleisure (1) - 60 freq
plaisure (2) - 2 freq
pleisur (2) - 33 freq
pleasour (2) - 1 freq
pleasures (2) - 11 freq
pleesures (3) - 3 freq
pleisir (3) - 3 freq
pleisurs (3) - 1 freq
leisure (3) - 26 freq
pleesuir (3) - 2 freq
plaesur (3) - 2 freq
pleisour (3) - 1 freq
pleisures (3) - 4 freq
leesure (3) - 4 freq
please (3) - 559 freq
pleisured (3) - 1 freq
pleure (3) - 1 freq
pleise (4) - 2 freq
pleased (4) - 206 freq
pleisurit (4) - 1 freq
pleasit (4) - 5 freq
pleurer (4) - 1 freq
pleases (4) - 9 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 - PLSR
pleasure - 74 freq
plaisure - 2 freq
pleesure - 23 freq
pleisur - 33 freq
pleisure - 60 freq
pleisour - 1 freq
pleesuir - 2 freq
plaisir - 3 freq
plaesur - 2 freq
pleasour - 1 freq
pleisir - 3 freq
PLEASURE
Time to execute Levenshtein function - 0.190316 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 - 0.358773 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 - 0.028486 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 - 0.038234 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 - 0.001145 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.