A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to udhr in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
udhr (0) - 1 freq
udr (1) - 1 freq
dur (2) - 1 freq
uzh (2) - 2 freq
mehr (2) - 1 freq
dxr (2) - 1 freq
ujlr (2) - 1 freq
uth (2) - 1 freq
dha (2) - 1 freq
echr (2) - 1 freq
wahr (2) - 1 freq
edr (2) - 1 freq
pdr (2) - 2 freq
uhm (2) - 1 freq
uha (2) - 2 freq
odhar (2) - 1 freq
ud (2) - 4 freq
dir (2) - 400 freq
jdh (2) - 1 freq
ucht (2) - 1 freq
ufhx (2) - 1 freq
uch (2) - 3 freq
gdh (2) - 2 freq
ndr (2) - 1 freq
qdhg (2) - 1 freq
udhr (0) - 1 freq
odhar (2) - 1 freq
udr (2) - 1 freq
uthur (3) - 1 freq
ahr (3) - 1 freq
hr (3) - 11 freq
dahri (3) - 1 freq
shr (3) - 1 freq
dor (3) - 5 freq
dh (3) - 1 freq
uthir (3) - 1 freq
dfr (3) - 2 freq
ohr (3) - 1 freq
usher (3) - 3 freq
dht (3) - 1 freq
adhere (3) - 7 freq
dr (3) - 199 freq
adhd (3) - 5 freq
uther (3) - 9 freq
nahr (3) - 1 freq
dyr (3) - 1 freq
dar (3) - 86 freq
dha (3) - 1 freq
dxr (3) - 1 freq
mehr (3) - 1 freq
SoundEx code - U360
utter - 62 freq
udr - 1 freq
udhr - 1 freq
uther - 9 freq
uthur - 1 freq
uthir - 1 freq
utir - 1 freq
udder - 1 freq
MetaPhone code - UTR
utter - 62 freq
udr - 1 freq
udhr - 1 freq
utir - 1 freq
udder - 1 freq
UDHR
Time to execute Levenshtein function - 0.202604 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 - 0.363073 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 - 0.027156 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 - 0.036434 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 - 0.000835 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.