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 yerd in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yerd (0) - 7 freq
yer (1) - 8074 freq
yird (1) - 206 freq
erd (1) - 11 freq
serd (1) - 1 freq
ferd (1) - 2 freq
yerk (1) - 3 freq
werd (1) - 1 freq
yerl (1) - 1 freq
kerd (1) - 1 freq
derd (1) - 1 freq
yerw (1) - 1 freq
yers (1) - 20 freq
yeld (1) - 2 freq
nerd (1) - 2 freq
yeed (1) - 1 freq
yerds (1) - 4 freq
ye'd (1) - 445 freq
herd (1) - 158 freq
yerb (1) - 1 freq
yed (1) - 7 freq
yard (1) - 43 freq
yere (1) - 7 freq
yrd (1) - 1 freq
cerd (1) - 7 freq
yerd (0) - 7 freq
yrd (1) - 1 freq
yard (1) - 43 freq
erd (1) - 11 freq
yird (1) - 206 freq
reed (2) - 184 freq
eard (2) - 1 freq
reid (2) - 406 freq
yere (2) - 7 freq
ird (2) - 1 freq
cerd (2) - 7 freq
red (2) - 297 freq
yaird (2) - 88 freq
aird (2) - 3 freq
ayered (2) - 1 freq
yirdy (2) - 6 freq
yed (2) - 7 freq
ard (2) - 4 freq
read (2) - 958 freq
rd (2) - 64 freq
yerl (2) - 1 freq
kerd (2) - 1 freq
derd (2) - 1 freq
yers (2) - 20 freq
yerb (2) - 1 freq
SoundEx code - Y630
yaird - 88 freq
yird - 206 freq
yirth - 43 freq
yirdie - 2 freq
yirdy - 6 freq
yard - 43 freq
yerd - 7 freq
year'd - 1 freq
€˜yirth - 6 freq
yrd - 1 freq
MetaPhone code - YRT
yaird - 88 freq
yird - 206 freq
yirdie - 2 freq
yirdy - 6 freq
yard - 43 freq
wyert - 1 freq
yerd - 7 freq
year'd - 1 freq
YERD
Time to execute Levenshtein function - 0.193590 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 - 0.365292 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 - 0.027695 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 - 0.037680 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 - 0.000913 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.