A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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

Similar words to doggerel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
doggerel (0) - 2 freq
dogger (2) - 1 freq
baggerel (2) - 1 freq
doggedly (3) - 1 freq
cockerel (3) - 5 freq
doggie (3) - 3 freq
dogged (3) - 3 freq
dagger (3) - 4 freq
laggered (3) - 2 freq
daggers (3) - 12 freq
jiggered (3) - 3 freq
dodgers (3) - 2 freq
mongrel (3) - 4 freq
jogger (3) - 1 freq
loggers (3) - 1 freq
dodger (3) - 5 freq
buggered (3) - 13 freq
logger (3) - 1 freq
doggies (3) - 1 freq
beggerey (3) - 23 freq
dovered (3) - 6 freq
mungerel (3) - 1 freq
diggers (3) - 1 freq
dongerees (3) - 1 freq
hotterel (3) - 1 freq
doggerel (0) - 2 freq
baggerel (3) - 1 freq
dogger (3) - 1 freq
daggers (4) - 12 freq
diggers (4) - 1 freq
digger (4) - 12 freq
dagger (4) - 4 freq
doggedly (4) - 1 freq
mungerel (5) - 1 freq
doggitly (5) - 1 freq
beggerey (5) - 23 freq
dongerees (5) - 1 freq
joggers (5) - 1 freq
loggarly (5) - 1 freq
diggle (5) - 1 freq
logger (5) - 1 freq
doggies (5) - 1 freq
jiggered (5) - 3 freq
laggered (5) - 2 freq
buggered (5) - 13 freq
doggie (5) - 3 freq
dodgers (5) - 2 freq
dogged (5) - 3 freq
loggers (5) - 1 freq
mongrel (5) - 4 freq
SoundEx code - D264
doggerland - 2 freq
doggerel - 2 freq
MetaPhone code - TKRL
doggerel - 2 freq
DOGGEREL
Time to execute Levenshtein function - 0.247603 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 - 0.438867 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 - 0.031034 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 - 0.042086 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 - 0.001104 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.