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 nymphs in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nymphs (0) - 4 freq
nymph (1) - 2 freq
humphs (2) - 2 freq
sumphs (2) - 8 freq
camphe (3) - 1 freq
nemos (3) - 1 freq
nims (3) - 2 freq
nycht (3) - 4 freq
neeps (3) - 148 freq
dumps (3) - 14 freq
wimps (3) - 1 freq
mps (3) - 31 freq
nyows (3) - 3 freq
gumph (3) - 1 freq
nops (3) - 1 freq
nym (3) - 1 freq
humphd (3) - 1 freq
jumps (3) - 18 freq
hmmph (3) - 8 freq
jump's (3) - 1 freq
syme's (3) - 1 freq
nyfe's (3) - 1 freq
kemp's (3) - 1 freq
fomuhs (3) - 1 freq
jimps (3) - 2 freq
nymphs (0) - 4 freq
nymph (2) - 2 freq
sumphs (3) - 8 freq
humphs (3) - 2 freq
seanymphs (4) - 1 freq
jamph (5) - 1 freq
naips (5) - 1 freq
numpty (5) - 29 freq
sumps (5) - 1 freq
humphy (5) - 52 freq
hmph (5) - 1 freq
pumps (5) - 12 freq
dumphy (5) - 50 freq
oomph (5) - 4 freq
lamps (5) - 36 freq
nems's (5) - 1 freq
name's (5) - 33 freq
nimbus (5) - 1 freq
nips (5) - 27 freq
mph (5) - 2 freq
blumphs (5) - 3 freq
bump's (5) - 1 freq
nhs (5) - 38 freq
bumps (5) - 8 freq
sumph (5) - 21 freq
SoundEx code - N512
nimbus - 1 freq
nymphs - 4 freq
non-fiction - 4 freq
nanophase - 1 freq
non-pc - 1 freq
nimbyism - 2 freq
MetaPhone code - NMFS
nymphs - 4 freq
NYMPHS
Time to execute Levenshtein function - 0.196778 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 - 0.375514 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 - 0.028230 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 - 0.038906 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 - 0.000849 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.