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 dirler in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
dirler (0) - 1 freq
dirled (1) - 11 freq
dither (2) - 2 freq
durer (2) - 1 freq
dailer (2) - 1 freq
dialec (2) - 2 freq
mirled (2) - 2 freq
firmer (2) - 4 freq
dirlt (2) - 4 freq
hitler (2) - 10 freq
dirlin (2) - 45 freq
biler (2) - 8 freq
direk (2) - 2 freq
diner (2) - 1 freq
girder (2) - 2 freq
differ (2) - 135 freq
dirl't (2) - 1 freq
drier (2) - 9 freq
filler (2) - 2 freq
dairker (2) - 1 freq
dire (2) - 9 freq
mirker (2) - 1 freq
girner (2) - 1 freq
dirls (2) - 7 freq
dibber (2) - 2 freq
dirler (0) - 1 freq
dirled (2) - 11 freq
dazler (3) - 2 freq
duller (3) - 2 freq
dirlit (3) - 1 freq
darker (3) - 9 freq
dirls (3) - 7 freq
dealer (3) - 15 freq
darger (3) - 2 freq
dirl (3) - 46 freq
airlier (3) - 16 freq
dillier (3) - 1 freq
dirlan (3) - 3 freq
dormer (3) - 2 freq
dueler (3) - 1 freq
derker (3) - 7 freq
driller (3) - 5 freq
dryer (3) - 5 freq
dairker (3) - 1 freq
parler (3) - 2 freq
dirlin (3) - 45 freq
dirlt (3) - 4 freq
dailer (3) - 1 freq
drier (3) - 9 freq
durer (3) - 1 freq
SoundEx code - D646
driller - 5 freq
dirler - 1 freq
MetaPhone code - TRLR
trailer - 13 freq
driller - 5 freq
dirler - 1 freq
traller - 1 freq
trawler - 3 freq
traaler - 3 freq
tarlair - 7 freq
DIRLER
Time to execute Levenshtein function - 0.907526 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 - 1.421860 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 - 0.093671 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 - 0.195801 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 - 0.000852 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.