A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to caterer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
caterer (0) - 1 freq
caterers (1) - 1 freq
captered (2) - 1 freq
cattler (2) - 3 freq
career (2) - 66 freq
wateren (2) - 2 freq
carer (2) - 10 freq
caterin (2) - 4 freq
cater (2) - 5 freq
capered (2) - 4 freq
catter (2) - 16 freq
catcher (2) - 2 freq
cratered (2) - 1 freq
watered (2) - 6 freq
caperers (2) - 1 freq
capener (2) - 36 freq
cateran (2) - 3 freq
paerer (2) - 1 freq
cattered (2) - 2 freq
aferr (3) - 1 freq
cares (3) - 61 freq
carers (3) - 11 freq
carrier (3) - 15 freq
aere (3) - 1 freq
scatter (3) - 14 freq
caterer (0) - 1 freq
caterers (2) - 1 freq
cater (3) - 5 freq
catter (3) - 16 freq
cateran (3) - 3 freq
caterin (3) - 4 freq
carer (3) - 10 freq
career (3) - 66 freq
catrry (3) - 1 freq
ceterae (4) - 1 freq
cutter (4) - 5 freq
category (4) - 23 freq
cuter (4) - 1 freq
caerry (4) - 2 freq
cotter (4) - 3 freq
clearer (4) - 26 freq
cherr (4) - 2 freq
clairer (4) - 1 freq
terr (4) - 9 freq
cairier (4) - 1 freq
carr (4) - 3 freq
sterr (4) - 11 freq
cetera (4) - 1 freq
steerer (4) - 2 freq
cither (4) - 1 freq
SoundEx code - C366
caterer - 1 freq
caterers - 1 freq
MetaPhone code - KTRR
caterer - 1 freq
CATERER
Time to execute Levenshtein function - 0.409035 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 - 0.892190 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 - 0.087995 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 - 0.103779 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 - 0.000923 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.