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 fulmar in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fulmar (0) - 2 freq
fulmars (1) - 2 freq
fulmart (1) - 1 freq
furmal (2) - 1 freq
fulham (2) - 1 freq
fulla (2) - 6 freq
fuar (2) - 1 freq
culmas (2) - 2 freq
fuller (2) - 3 freq
floar (2) - 6 freq
fulm (2) - 2 freq
fullae (2) - 1 freq
fulca (2) - 1 freq
fulm's (2) - 1 freq
fulmed (2) - 1 freq
fumart (2) - 1 freq
kumar (2) - 1 freq
fullay (2) - 1 freq
pullar (2) - 5 freq
cullar (2) - 1 freq
elmar (2) - 2 freq
vulgar (2) - 4 freq
bulgar (2) - 1 freq
fellar (2) - 1 freq
fleas (3) - 13 freq
fulmar (0) - 2 freq
fulmars (2) - 2 freq
fulmart (2) - 1 freq
fulmed (3) - 1 freq
fulm (3) - 2 freq
flamer (3) - 1 freq
floar (3) - 6 freq
elmar (3) - 2 freq
fellar (3) - 1 freq
fuller (3) - 3 freq
flr (4) - 3 freq
farmer (4) - 9 freq
felder (4) - 1 freq
flyman (4) - 5 freq
flyer (4) - 1 freq
flare (4) - 10 freq
filmed (4) - 9 freq
filter (4) - 5 freq
calmer (4) - 2 freq
flour (4) - 15 freq
films (4) - 39 freq
filler (4) - 2 freq
fleer (4) - 122 freq
flier (4) - 1 freq
falter (4) - 1 freq
SoundEx code - F456
flamer - 1 freq
flinrichen - 1 freq
flame-haired - 1 freq
flimmer - 2 freq
fulmars - 2 freq
fellow-mortal - 1 freq
feelin-herted - 1 freq
fulmart - 1 freq
fulmartis - 1 freq
flamarrion - 1 freq
feliamort - 1 freq
fulmar - 2 freq
MetaPhone code - FLMR
flamer - 1 freq
flimmer - 2 freq
fulmar - 2 freq
FULMAR
Time to execute Levenshtein function - 0.227178 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 - 0.585368 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 - 0.057943 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 - 0.038303 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 - 0.000790 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.