A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to deadlier in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
deadlier (0) - 1 freq
deadline (2) - 4 freq
dealer (2) - 15 freq
detdlie (2) - 1 freq
deedlie (2) - 1 freq
earlier (2) - 109 freq
deidlie (2) - 7 freq
easier (3) - 114 freq
dallies (3) - 5 freq
earrier (3) - 1 freq
dallied (3) - 1 freq
dailies (3) - 1 freq
deidline (3) - 1 freq
dazler (3) - 2 freq
eader (3) - 1 freq
sadlie (3) - 2 freq
headie (3) - 1 freq
daddies (3) - 4 freq
deilie (3) - 2 freq
deliver (3) - 47 freq
lawlier (3) - 1 freq
dallie (3) - 13 freq
deafie (3) - 3 freq
daadle (3) - 1 freq
deeplie (3) - 1 freq
deadlier (0) - 1 freq
deidlie (3) - 7 freq
deedlie (3) - 1 freq
dealer (3) - 15 freq
deadline (3) - 4 freq
deidlike (4) - 2 freq
dillier (4) - 1 freq
declir (4) - 1 freq
deedled (4) - 1 freq
deleer (4) - 1 freq
dailer (4) - 1 freq
deedle (4) - 2 freq
daadle (4) - 1 freq
deadly (4) - 18 freq
needler (4) - 2 freq
sadler (4) - 1 freq
deidline (4) - 1 freq
earlier (4) - 109 freq
detdlie (4) - 1 freq
dazler (4) - 2 freq
reader (5) - 89 freq
deadlock (5) - 1 freq
callier (5) - 1 freq
deidly (5) - 19 freq
paddler (5) - 2 freq
SoundEx code - D346
deadlier - 1 freq
MetaPhone code - TTLR
toddler - 2 freq
tiddler - 2 freq
tytler - 1 freq
dtaylor - 7 freq
deadlier - 1 freq
DEADLIER
Time to execute Levenshtein function - 0.220889 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 - 0.372760 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 - 0.027653 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 - 0.038088 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 - 0.000912 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.