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 ainward in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ainward (0) - 4 freq
aipward (1) - 1 freq
inward (1) - 7 freq
inwards (2) - 7 freq
inwart (2) - 1 freq
onward (2) - 5 freq
atward (2) - 1 freq
award (2) - 59 freq
airnhard (2) - 1 freq
akward (2) - 3 freq
minzard (2) - 1 freq
aakward (2) - 7 freq
aukward (2) - 1 freq
oanward (2) - 1 freq
ackward (2) - 3 freq
awkward (2) - 36 freq
launward (2) - 1 freq
kinnaird (3) - 1 freq
bizzard (3) - 1 freq
landward (3) - 6 freq
norward (3) - 1 freq
hindwird (3) - 1 freq
deilward (3) - 1 freq
hameward (3) - 13 freq
awald (3) - 3 freq
ainward (0) - 4 freq
inward (1) - 7 freq
aipward (2) - 1 freq
oanward (2) - 1 freq
onward (2) - 5 freq
aakward (3) - 7 freq
launward (3) - 1 freq
akward (3) - 3 freq
aukward (3) - 1 freq
inwart (3) - 1 freq
inwards (3) - 7 freq
atward (3) - 1 freq
award (3) - 59 freq
awaard (4) - 1 freq
coward (4) - 12 freq
ootward (4) - 6 freq
iainheard (4) - 1 freq
toward (4) - 24 freq
naard (4) - 1 freq
inwairds (4) - 1 freq
weyward (4) - 1 freq
yin-wird (4) - 1 freq
akwird (4) - 2 freq
taeward (4) - 20 freq
byward (4) - 2 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 - ANWRT
ainward - 4 freq
AINWARD
Time to execute Levenshtein function - 0.369501 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 - 0.618193 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 - 0.031975 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 - 0.069167 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 - 0.000879 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.