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 owlder in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
owlder (0) - 14 freq
older (1) - 26 freq
owler (1) - 5 freq
owider (1) - 1 freq
owder (1) - 1 freq
cowlder (1) - 1 freq
owld (2) - 166 freq
wider (2) - 54 freq
wler (2) - 1 freq
powder (2) - 10 freq
holder (2) - 2 freq
golder (2) - 1 freq
odder (2) - 1 freq
owver (2) - 1 freq
mulder (2) - 1 freq
folder (2) - 4 freq
boolder (2) - 1 freq
wilder (2) - 4 freq
olden (2) - 1 freq
boulder (2) - 9 freq
owlds (2) - 1 freq
gulder (2) - 24 freq
milder (2) - 2 freq
ow'er (2) - 1 freq
calder (2) - 12 freq
owlder (0) - 14 freq
cowlder (2) - 1 freq
welder (2) - 4 freq
owder (2) - 1 freq
wilder (2) - 4 freq
older (2) - 26 freq
owler (2) - 5 freq
owider (2) - 1 freq
elder (3) - 58 freq
aalder (3) - 24 freq
eilder (3) - 1 freq
calder (3) - 12 freq
balder (3) - 1 freq
alder (3) - 1 freq
solder (3) - 2 freq
felder (3) - 1 freq
ouldir (3) - 1 freq
bolder (3) - 1 freq
aulder (3) - 243 freq
milder (3) - 2 freq
dolder (3) - 1 freq
owlds (3) - 1 freq
golder (3) - 1 freq
yowder (3) - 1 freq
holder (3) - 2 freq
SoundEx code - O436
older - 26 freq
olderfleet - 1 freq
older-twin - 1 freq
oil-drum - 1 freq
owlder - 14 freq
€˜older - 1 freq
ouldir - 1 freq
oltrvx - 1 freq
oldrovers - 1 freq
MetaPhone code - OLTR
older - 26 freq
owlder - 14 freq
€˜older - 1 freq
ouldir - 1 freq
OWLDER
Time to execute Levenshtein function - 0.291984 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 - 0.349178 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 - 0.026914 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 - 0.037310 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 - 0.000819 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.