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 foment in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
foment (0) - 2 freq
fozent (1) - 2 freq
moment (1) - 225 freq
women' (2) - 1 freq
omens (2) - 3 freq
opent (2) - 85 freq
women (2) - 77 freq
torment (2) - 15 freq
ferment (2) - 3 freq
fokest (2) - 1 freq
somene (2) - 4 freq
omen (2) - 5 freq
forest (2) - 117 freq
womens (2) - 3 freq
comeat (2) - 1 freq
faent (2) - 2 freq
fluent (2) - 20 freq
lament (2) - 21 freq
fornent (2) - 35 freq
rolment (2) - 1 freq
foont (2) - 2 freq
forwent (2) - 1 freq
frozent (2) - 13 freq
comet (2) - 12 freq
wament (2) - 1 freq
foment (0) - 2 freq
fozent (2) - 2 freq
moment (2) - 225 freq
mament (3) - 14 freq
fent (3) - 11 freq
lament (3) - 21 freq
fluent (3) - 20 freq
ment (3) - 18 freq
wament (3) - 1 freq
faent (3) - 2 freq
fient (3) - 6 freq
figment (3) - 1 freq
font (3) - 7 freq
fount (3) - 2 freq
cement (3) - 27 freq
foont (3) - 2 freq
ferment (3) - 3 freq
monet (4) - 2 freq
peyment (4) - 6 freq
raiment (4) - 2 freq
flint (4) - 8 freq
element (4) - 45 freq
founit (4) - 2 freq
foamin (4) - 4 freq
augment (4) - 2 freq
SoundEx code - F553
foment - 2 freq
fine-made - 1 freq
funinthesun - 1 freq
fionammiddler - 1 freq
MetaPhone code - FMNT
foment - 2 freq
FOMENT
Time to execute Levenshtein function - 0.255549 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 - 0.350754 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 - 0.027632 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 - 0.036704 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 - 0.000789 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.