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 iplayer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
iplayer (0) - 5 freq
player (1) - 116 freq
i-player (1) - 2 freq
played (2) - 255 freq
playen (2) - 2 freq
splayed (2) - 2 freq
payer (2) - 1 freq
pleyer (2) - 2 freq
prayer (2) - 95 freq
players (2) - 151 freq
'prayer (2) - 1 freq
plater (2) - 1 freq
layer (2) - 13 freq
planer (2) - 1 freq
imployed (3) - 2 freq
spacer (3) - 2 freq
splyter (3) - 2 freq
planter (3) - 6 freq
plate (3) - 180 freq
layers (3) - 20 freq
pleyers (3) - 7 freq
plae (3) - 1 freq
i'lower (3) - 1 freq
employer (3) - 10 freq
fayer (3) - 3 freq
iplayer (0) - 5 freq
player (1) - 116 freq
pleyer (2) - 2 freq
i-player (2) - 2 freq
plater (3) - 1 freq
pler (3) - 1 freq
players (3) - 151 freq
planer (3) - 1 freq
layer (3) - 13 freq
playen (3) - 2 freq
prayer (3) - 95 freq
pleyar (3) - 1 freq
payer (3) - 1 freq
played (3) - 255 freq
place (4) - 1675 freq
playit (4) - 4 freq
palaver (4) - 10 freq
plaes (4) - 1 freq
plaet (4) - 5 freq
plaen (4) - 1 freq
playan (4) - 15 freq
plover (4) - 9 freq
paer (4) - 3 freq
plyter (4) - 3 freq
laayer (4) - 5 freq
SoundEx code - I146
i'fleer - 3 freq
i'flair - 2 freq
i'floories - 2 freq
iplayer - 5 freq
i-player - 2 freq
iblrg - 1 freq
MetaPhone code - IPLYR
iplayer - 5 freq
i-player - 2 freq
IPLAYER
Time to execute Levenshtein function - 0.188695 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 - 0.317278 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 - 0.026837 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 - 0.036738 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 - 0.000813 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.