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 fulmars in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fulmars (0) - 2 freq
fulmart (1) - 1 freq
fulmar (1) - 2 freq
fumart (2) - 1 freq
culmas (2) - 2 freq
fulmartis (2) - 1 freq
fulm's (2) - 1 freq
furrs (3) - 1 freq
dollars (3) - 7 freq
collars (3) - 8 freq
fella's (3) - 2 freq
flaps (3) - 8 freq
fugiears (3) - 1 freq
fuller (3) - 3 freq
gulders (3) - 6 freq
bummers (3) - 18 freq
futrats (3) - 1 freq
foumart (3) - 3 freq
thulmard (3) - 2 freq
fellar (3) - 1 freq
fowmart (3) - 4 freq
fleas (3) - 13 freq
sugars (3) - 2 freq
foumarts (3) - 1 freq
sulla's (3) - 1 freq
fulmars (0) - 2 freq
fulmart (2) - 1 freq
fulmar (2) - 2 freq
fulm's (3) - 1 freq
fulmartis (3) - 1 freq
fulums (4) - 3 freq
fleers (4) - 1 freq
floors (4) - 22 freq
falsers (4) - 18 freq
fleurs (4) - 2 freq
fluirs (4) - 4 freq
flairs (4) - 16 freq
flams (4) - 2 freq
follaers (4) - 108 freq
fillers (4) - 1 freq
films (4) - 41 freq
fermers (4) - 90 freq
farmers (4) - 5 freq
culmas (4) - 2 freq
fumart (4) - 1 freq
flares (4) - 10 freq
filters (4) - 4 freq
fume's (5) - 4 freq
flame's (5) - 1 freq
fuspers (5) - 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 - FLMRS
fulmars - 2 freq
FULMARS
Time to execute Levenshtein function - 0.367226 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 - 0.432708 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 - 0.027590 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 - 0.037218 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 - 0.000921 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.