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 faemier in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
faemier (0) - 2 freq
faemen (2) - 1 freq
faevir (2) - 2 freq
fancier (2) - 3 freq
faeder (2) - 4 freq
faetter (2) - 1 freq
fae'iver (2) - 2 freq
faether (2) - 11 freq
premier (2) - 7 freq
naemer (2) - 3 freq
faemin (2) - 1 freq
famie (2) - 1 freq
faercer (2) - 1 freq
farrier (2) - 2 freq
faeries (2) - 14 freq
farmer (2) - 9 freq
aesier (2) - 13 freq
faerie (2) - 8 freq
fayer (3) - 3 freq
aisier (3) - 12 freq
naether (3) - 5 freq
bremmer (3) - 1 freq
earlier (3) - 109 freq
fairie (3) - 4 freq
faniver (3) - 1 freq
faemier (0) - 2 freq
naemer (3) - 3 freq
faemin (3) - 1 freq
faerie (3) - 8 freq
famour (3) - 1 freq
farmer (3) - 9 freq
famie (3) - 1 freq
faevir (3) - 2 freq
faemen (3) - 1 freq
faeder (3) - 4 freq
firmer (4) - 4 freq
haimer (4) - 2 freq
femlie (4) - 25 freq
famed (4) - 9 freq
feeder (4) - 5 freq
tamer (4) - 2 freq
feir (4) - 7 freq
faemly (4) - 1 freq
fayter (4) - 1 freq
femlee (4) - 1 freq
faimily (4) - 189 freq
fairer (4) - 12 freq
faeman (4) - 1 freq
famine (4) - 15 freq
caumer (4) - 1 freq
SoundEx code - F560
finer - 14 freq
finerie - 2 freq
fooner - 4 freq
finery - 5 freq
funner - 1 freq
faemier - 2 freq
famour - 1 freq
funnier - 7 freq
fweohnor - 1 freq
fnaar - 2 freq
fwmre - 1 freq
MetaPhone code - FMR
faemier - 2 freq
famour - 1 freq
vimmer - 3 freq
fwmre - 1 freq
FAEMIER
Time to execute Levenshtein function - 0.191621 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 - 0.374113 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 - 0.027504 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 - 0.037752 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 - 0.000896 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.