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 november in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
november (0) - 86 freq
novemmer (1) - 7 freq
novemer (1) - 1 freq
novembar (1) - 1 freq
'novemmer (2) - 1 freq
neeber (3) - 2 freq
number (3) - 174 freq
nuremberg (3) - 2 freq
comber (3) - 2 freq
€˜member (3) - 2 freq
novemmer's (3) - 1 freq
member (3) - 75 freq
remember (3) - 191 freq
ramember (3) - 2 freq
bomber (3) - 3 freq
dizember (3) - 2 freq
december (3) - 56 freq
dezember (3) - 4 freq
naemer (3) - 3 freq
novelle (3) - 4 freq
newer (4) - 7 freq
nerrer (4) - 2 freq
hover (4) - 9 freq
forebear (4) - 3 freq
love-bug (4) - 1 freq
november (0) - 86 freq
novembar (1) - 1 freq
novemer (2) - 1 freq
novemmer (2) - 7 freq
number (4) - 174 freq
'novemmer (4) - 1 freq
december (5) - 56 freq
bomber (5) - 3 freq
dezember (5) - 4 freq
naemer (5) - 3 freq
nhmbr (5) - 1 freq
ramember (5) - 2 freq
dizember (5) - 2 freq
remember (5) - 191 freq
neeber (5) - 2 freq
nuremberg (5) - 2 freq
comber (5) - 2 freq
member (5) - 75 freq
numbed (6) - 4 freq
nebbery (6) - 1 freq
niver (6) - 851 freq
ootnumber (6) - 2 freq
€˜amber (6) - 1 freq
ombr (6) - 1 freq
bamber (6) - 2 freq
SoundEx code - N151
novembar - 1 freq
november - 86 freq
nip-nebs - 2 freq
nipnebs - 5 freq
naepumpkinsallowed - 1 freq
MetaPhone code - NFMR
novembar - 1 freq
november - 86 freq
novemmer - 7 freq
novemer - 1 freq
'novemmer - 1 freq
NOVEMBER
Time to execute Levenshtein function - 0.307313 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 - 0.463944 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 - 0.027273 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 - 0.072239 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 - 0.001121 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.