A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to anyfin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
anyfin (0) - 8 freq
anyhin (1) - 69 freq
anyfink (1) - 3 freq
an-in (2) - 1 freq
anywan (2) - 28 freq
anyhing (2) - 33 freq
ajynin (2) - 1 freq
onyyin (2) - 1 freq
anythn (2) - 1 freq
sayfin (2) - 1 freq
antrin (2) - 67 freq
onyin (2) - 1 freq
antnin (2) - 1 freq
anglin (2) - 2 freq
anyun (2) - 1 freq
enyhin (2) - 1 freq
knypin (2) - 4 freq
onyhin (2) - 23 freq
affin (2) - 2 freq
anyt'n (2) - 1 freq
anythin (2) - 145 freq
anywiy (2) - 8 freq
anytime (3) - 29 freq
dyein (3) - 1 freq
affil (3) - 7 freq
anyfin (0) - 8 freq
anyfink (2) - 3 freq
anyhin (2) - 69 freq
anyun (3) - 1 freq
onyin (3) - 1 freq
onyhin (3) - 23 freq
unifyin (3) - 1 freq
sayfin (3) - 1 freq
affin (3) - 2 freq
enyhin (3) - 1 freq
an-in (3) - 1 freq
onyyin (3) - 1 freq
anywan (3) - 28 freq
annan (4) - 4 freq
ann (4) - 105 freq
foofin (4) - 1 freq
angina (4) - 3 freq
nin (4) - 1 freq
anof (4) - 4 freq
enjyin (4) - 2 freq
ingin (4) - 18 freq
nuin (4) - 14 freq
roofin (4) - 1 freq
endin (4) - 43 freq
nasin (4) - 1 freq
SoundEx code - A515
ambient - 1 freq
anyfin - 8 freq
ambience - 4 freq
anyfink - 3 freq
amabam - 2 freq
amffmz - 1 freq
ampandrew - 1 freq
amfmon - 1 freq
MetaPhone code - ANFN
anyfin - 8 freq
ANYFIN
Time to execute Levenshtein function - 0.198565 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 - 0.394438 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 - 0.028310 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 - 0.039987 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 - 0.000885 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.