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 novemmer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
novemmer (0) - 7 freq
'novemmer (1) - 1 freq
novemer (1) - 1 freq
november (1) - 86 freq
novembar (2) - 1 freq
novemmer's (2) - 1 freq
govermen (3) - 2 freq
bremmer (3) - 1 freq
rememmer (3) - 1 freq
memmer (3) - 35 freq
nummer (3) - 336 freq
€˜memmer (3) - 1 freq
naemer (3) - 3 freq
nummmer (3) - 1 freq
nevermar (3) - 1 freq
hemmer (3) - 21 freq
nemmes (3) - 10 freq
vimmer (3) - 3 freq
nemme (3) - 9 freq
novelle (3) - 4 freq
gemmer (3) - 1 freq
decemmer (3) - 1 freq
hemmed (4) - 3 freq
former (4) - 38 freq
plummer (4) - 1 freq
novemmer (0) - 7 freq
novemer (2) - 1 freq
november (2) - 86 freq
'novemmer (2) - 1 freq
novembar (3) - 1 freq
nummer (4) - 336 freq
nevermar (4) - 1 freq
vimmer (4) - 3 freq
novemmer's (4) - 1 freq
nummmer (4) - 1 freq
nemme (5) - 9 freq
nivermore (5) - 1 freq
intimmer (5) - 1 freq
nummur (5) - 1 freq
nevermore (5) - 1 freq
decemmer (5) - 1 freq
gemmer (5) - 1 freq
nemmes (5) - 10 freq
bremmer (5) - 1 freq
memmer (5) - 35 freq
nivermair (5) - 1 freq
rememmer (5) - 1 freq
nvmm (5) - 1 freq
hemmer (5) - 21 freq
naemer (5) - 3 freq
SoundEx code - N156
novemmer - 7 freq
novemmer's - 1 freq
novemer - 1 freq
'novemmer - 1 freq
MetaPhone code - NFMR
novembar - 1 freq
november - 86 freq
novemmer - 7 freq
novemer - 1 freq
'novemmer - 1 freq
NOVEMMER
Time to execute Levenshtein function - 0.273431 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 - 0.762321 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 - 0.027930 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 - 0.085705 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 - 0.000812 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.