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 mayfield in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mayfield (0) - 4 freq
hayfield (1) - 3 freq
maryfield (1) - 1 freq
mansfield (2) - 5 freq
heyfield (2) - 3 freq
hadfield (2) - 4 freq
afield (2) - 8 freq
midfield (2) - 18 freq
married (3) - 30 freq
renfield (3) - 2 freq
midfield- (3) - 1 freq
heyfields (3) - 1 freq
field (3) - 230 freq
mayfly (3) - 1 freq
caulfield (3) - 1 freq
mid-field (3) - 1 freq
minefield (3) - 4 freq
nuffield (3) - 3 freq
lea-field (3) - 1 freq
sanfiel (3) - 1 freq
maitied (3) - 1 freq
ootfield (3) - 1 freq
fairfield (3) - 1 freq
millfield (3) - 2 freq
murrayfield (3) - 8 freq
mayfield (0) - 4 freq
hayfield (2) - 3 freq
maryfield (2) - 1 freq
afield (3) - 8 freq
midfield (3) - 18 freq
heyfield (3) - 3 freq
minefield (4) - 4 freq
mayfly (4) - 1 freq
enfield (4) - 7 freq
field (4) - 230 freq
ootfield (4) - 1 freq
seafield (4) - 7 freq
hadfield (4) - 4 freq
mansfield (4) - 5 freq
muild (5) - 4 freq
myld (5) - 1 freq
heyfields (5) - 1 freq
mairied (5) - 10 freq
malkied (5) - 3 freq
meld (5) - 4 freq
feeld (5) - 1 freq
mailed (5) - 2 freq
mild (5) - 40 freq
marled (5) - 2 freq
moild (5) - 1 freq
SoundEx code - M143
mayfield - 4 freq
muffled - 18 freq
mobility - 6 freq
mayfieldtait - 1 freq
MetaPhone code - MFLT
mayfield - 4 freq
muffled - 18 freq
MAYFIELD
Time to execute Levenshtein function - 0.233133 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 - 0.412657 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 - 0.028141 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 - 0.040842 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 - 0.000978 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.