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 cleland in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
cleland (0) - 7 freq
clelland (1) - 2 freq
c’land (2) - 1 freq
cleveland (2) - 1 freq
copland (2) - 6 freq
eland (2) - 1 freq
fleand (2) - 2 freq
copeland (2) - 1 freq
heeland (2) - 1 freq
alexand (2) - 2 freq
cleaned (2) - 35 freq
cleant (2) - 4 freq
cleane (2) - 1 freq
clean (2) - 356 freq
iceland (2) - 42 freq
yreland (2) - 1 freq
hieland (2) - 16 freq
zeeland (2) - 1 freq
ireland (2) - 145 freq
slepand (2) - 1 freq
cleans (2) - 9 freq
leman (3) - 3 freq
fleean (3) - 7 freq
cleshed (3) - 1 freq
clang (3) - 12 freq
cleland (0) - 7 freq
clelland (2) - 2 freq
cleaned (3) - 35 freq
iceland (3) - 42 freq
copeland (3) - 1 freq
copland (3) - 6 freq
cleveland (3) - 1 freq
zeeland (4) - 1 freq
hieland (4) - 16 freq
holland (4) - 17 freq
ireland (4) - 145 freq
cleans (4) - 9 freq
callan (4) - 3 freq
yreland (4) - 1 freq
callant (4) - 21 freq
slepand (4) - 1 freq
c’land (4) - 1 freq
eland (4) - 1 freq
fleand (4) - 2 freq
heeland (4) - 1 freq
alexand (4) - 2 freq
cleane (4) - 1 freq
clean (4) - 356 freq
cleant (4) - 4 freq
upland (5) - 5 freq
SoundEx code - C445
cleland - 7 freq
clelland - 2 freq
clelandpsych - 1 freq
MetaPhone code - KLLNT
cleland - 7 freq
clelland - 2 freq
CLELAND
Time to execute Levenshtein function - 0.228933 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 - 0.367350 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 - 0.028065 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 - 0.039284 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 - 0.000943 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.