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 julianbrans in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
julianbrans (0) - 3 freq
sultanas (5) - 1 freq
tullaghans (5) - 2 freq
libran (5) - 1 freq
julian (5) - 6 freq
muinbeams (5) - 1 freq
librars (5) - 3 freq
lanrang (5) - 2 freq
julierems (5) - 2 freq
jbriancraig (5) - 1 freq
lantrens (5) - 2 freq
muirlans (6) - 1 freq
linens (6) - 1 freq
albanian (6) - 1 freq
ninians (6) - 3 freq
wuidlans (6) - 1 freq
flanns (6) - 1 freq
almanacs (6) - 1 freq
laebrak (6) - 1 freq
lifespans (6) - 1 freq
'julian (6) - 1 freq
seabraes (6) - 1 freq
jubiter's (6) - 1 freq
ignorant (6) - 37 freq
obrans (6) - 1 freq
julianbrans (0) - 3 freq
lantrens (7) - 2 freq
lanrang (8) - 2 freq
librars (8) - 3 freq
julierems (8) - 2 freq
libran (8) - 1 freq
lanterns (8) - 7 freq
unicorns (9) - 9 freq
alanbrazil (9) - 1 freq
hildebrand (9) - 6 freq
klingons (9) - 1 freq
poloandsons (9) - 1 freq
allanbri (9) - 1 freq
belangins (9) - 6 freq
glenburn (9) - 2 freq
joiners (9) - 7 freq
liners (9) - 2 freq
laerns (9) - 4 freq
lanns (9) - 2 freq
blintrin (9) - 1 freq
planteens (9) - 1 freq
leibrars (9) - 1 freq
granbairns (9) - 11 freq
clarebrand (9) - 1 freq
ladrons (9) - 1 freq
SoundEx code - J451
joelampard - 1 freq
julianbrans - 3 freq
MetaPhone code - JLNBRNS
julianbrans - 3 freq
JULIANBRANS
Time to execute Levenshtein function - 0.227959 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 - 0.388489 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 - 0.028571 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 - 0.036977 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 - 0.000853 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.