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 lowlevel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
lowlevel (0) - 1 freq
low-level (1) - 1 freq
however (3) - 61 freq
level (3) - 148 freq
lowered (3) - 25 freq
lowsened (3) - 2 freq
lochleven (3) - 1 freq
o-levels (3) - 2 freq
lovel (3) - 1 freq
lowlife (3) - 2 freq
sqweel (4) - 2 freq
swivel (4) - 5 freq
fowlded (4) - 3 freq
leeve (4) - 81 freq
howlets (4) - 1 freq
leeven (4) - 2 freq
beleve (4) - 6 freq
lovey (4) - 1 freq
dowless (4) - 2 freq
olives (4) - 17 freq
lowse-up (4) - 1 freq
forever (4) - 75 freq
lowse (4) - 112 freq
oo-wheel (4) - 1 freq
folleyed (4) - 2 freq
lowlevel (0) - 1 freq
low-level (2) - 1 freq
lowlife (5) - 2 freq
llvl (5) - 1 freq
lovel (5) - 1 freq
level (5) - 148 freq
lowlans (6) - 1 freq
lawlier (6) - 1 freq
laevil (6) - 1 freq
lowly (6) - 5 freq
sweevely (6) - 2 freq
lawless (6) - 4 freq
sowell (6) - 1 freq
wolves (6) - 27 freq
lowland (6) - 32 freq
lovell (6) - 1 freq
livvel (6) - 2 freq
lovely (6) - 165 freq
luvlee (6) - 2 freq
swivel (6) - 5 freq
lochleven (6) - 1 freq
o-levels (6) - 2 freq
lowsened (6) - 2 freq
lowered (6) - 25 freq
sea-level (6) - 1 freq
SoundEx code - L414
lilly-flouer - 1 freq
low-level - 1 freq
lowlevel - 1 freq
MetaPhone code - LLFL
low-level - 1 freq
lowlevel - 1 freq
LOWLEVEL
Time to execute Levenshtein function - 0.711875 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 - 1.012226 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 - 0.090738 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 - 0.101043 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 - 0.000901 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.