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 annoyed in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
annoyed (0) - 45 freq
'annoyed (1) - 1 freq
njoyed (2) - 4 freq
innoyer (2) - 1 freq
€˜annoyed (2) - 1 freq
annoyin (2) - 25 freq
annoyan (2) - 1 freq
annoy (2) - 12 freq
injoyed (2) - 2 freq
annoyt (2) - 5 freq
enjoyed (2) - 135 freq
andoed (2) - 1 freq
annone (2) - 1 freq
annoys (2) - 4 freq
nosed (3) - 6 freq
adored (3) - 5 freq
annand (3) - 10 freq
announced (3) - 33 freq
venomed (3) - 1 freq
enjeyed (3) - 3 freq
foyed (3) - 1 freq
ained (3) - 19 freq
dantoned (3) - 1 freq
anninted (3) - 2 freq
noted (3) - 23 freq
annoyed (0) - 45 freq
'annoyed (2) - 1 freq
enjoyed (3) - 135 freq
annoyt (3) - 5 freq
andoed (3) - 1 freq
annone (3) - 1 freq
annad (3) - 1 freq
injoyed (3) - 2 freq
annoys (3) - 4 freq
njoyed (3) - 4 freq
annoy (3) - 12 freq
innoyer (3) - 1 freq
annoyin (3) - 25 freq
annoyan (3) - 1 freq
anny (4) - 1 freq
panned (4) - 7 freq
annies (4) - 1 freq
ansed (4) - 1 freq
banned (4) - 35 freq
annider (4) - 3 freq
enjyed (4) - 2 freq
anno (4) - 5 freq
tanned (4) - 11 freq
aniseed (4) - 3 freq
anyone (4) - 67 freq
SoundEx code - A530
and - 25387 freq
ahint - 748 freq
ayont - 277 freq
'and - 181 freq
aneth - 178 freq
aneath - 106 freq
ahent - 102 freq
aimed - 16 freq
andy - 151 freq
annoyed - 45 freq
aunt - 76 freq
amid - 9 freq
'aneth - 1 freq
aunty - 42 freq
auntie - 157 freq
awned - 27 freq
'andy' - 1 freq
ained - 19 freq
ane-eed - 1 freq
awnt - 1 freq
ahind - 11 freq
ahin't - 2 freq
annuity - 2 freq
aneath' - 1 freq
andie - 1 freq
aeneid - 8 freq
aneith - 8 freq
anneith - 3 freq
annad - 1 freq
anaith - 7 freq
aunte - 1 freq
amn't - 1 freq
'auntie - 1 freq
anyday - 3 freq
ain't - 9 freq
awnit - 2 freq
annoyt - 5 freq
aint - 13 freq
anyd - 2 freq
aimeth - 1 freq
ant - 8 freq
a'waant - 1 freq
amd - 2 freq
'aunty - 4 freq
anddy - 1 freq
aaind - 1 freq
aind - 1 freq
an'the - 1 freq
aintae - 4 freq
amdee - 1 freq
anaeth - 1 freq
aund - 2 freq
anti - 11 freq
ande - 4 freq
aaned - 1 freq
'annoyed - 1 freq
ane-twa - 4 freq
€˜aunt - 1 freq
€˜and - 14 freq
anet - 1 freq
€”and - 8 freq
€œayont - 1 freq
€œand - 15 freq
€¦and - 2 freq
ahmed - 6 freq
aand - 1 freq
and-aa - 1 freq
anotha - 1 freq
aantie - 2 freq
€˜annoyed - 1 freq
€˜ayont - 1 freq
amitie - 5 freq
amity - 2 freq
€™and - 2 freq
annette - 1 freq
anto - 1 freq
“and - 1 freq
ando - 1 freq
aaaaaand - 1 freq
anoot - 1 freq
annewitha - 1 freq
'aunty' - 1 freq
anaht - 1 freq
anat - 1 freq
andyh - 1 freq
ante - 1 freq
andÂ… - 1 freq
ainÂ’t - 1 freq
MetaPhone code - ANYT
annoyed - 45 freq
'annoyed - 1 freq
€˜annoyed - 1 freq
ANNOYED
Time to execute Levenshtein function - 0.371416 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 - 0.617713 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 - 0.078480 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 - 0.037947 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 - 0.000871 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.