A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to anyroad in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
anyroad (0) - 7 freq
anyroads (1) - 1 freq
onyroad (1) - 8 freq
anyboady (2) - 13 freq
affroad (2) - 1 freq
onyroads (2) - 5 freq
abroad (2) - 35 freq
android (2) - 6 freq
a-rod (3) - 1 freq
ayepad (3) - 1 freq
unread (3) - 3 freq
afyoag (3) - 1 freq
i'broad (3) - 1 freq
anorak (3) - 11 freq
anymore (3) - 14 freq
c--road (3) - 1 freq
andra (3) - 116 freq
broad (3) - 54 freq
andras (3) - 8 freq
annoay (3) - 1 freq
angrya (3) - 3 freq
noad (3) - 11 freq
anyhoos (3) - 13 freq
andro (3) - 4 freq
affload (3) - 1 freq
anyroad (0) - 7 freq
onyroad (1) - 8 freq
anyroads (2) - 1 freq
android (3) - 6 freq
unread (3) - 3 freq
abroad (3) - 35 freq
onyroads (3) - 5 freq
anyboady (3) - 13 freq
onyboady (4) - 1 freq
unload (4) - 3 freq
anyd (4) - 2 freq
myriad (4) - 11 freq
nord (4) - 1 freq
untrod (4) - 1 freq
andoed (4) - 1 freq
nard (4) - 3 freq
andriod (4) - 3 freq
anurra (4) - 3 freq
norrad (4) - 1 freq
anyday (4) - 3 freq
niroads (4) - 2 freq
acrood (4) - 1 freq
annad (4) - 1 freq
road (4) - 1150 freq
inroads (4) - 4 freq
SoundEx code - A563
anyroads - 1 freq
anyroad - 7 freq
ainward - 4 freq
a-hunnért - 1 freq
an'ards - 1 freq
amrut - 1 freq
MetaPhone code - ANRT
anyroad - 7 freq
ANYROAD
Time to execute Levenshtein function - 0.273038 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 - 0.374628 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 - 0.027964 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 - 0.039001 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 - 0.000934 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.