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 needful in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
needful (0) - 4 freq
needfu (1) - 12 freq
needfu' (1) - 43 freq
heidful (2) - 1 freq
heedfu (2) - 1 freq
dredfu (3) - 1 freq
useful (3) - 24 freq
needin (3) - 213 freq
tearful (3) - 2 freq
peddul (3) - 1 freq
needae (3) - 1 freq
helpful (3) - 6 freq
needle (3) - 39 freq
peedlum (3) - 1 freq
edfu (3) - 1 freq
handful (3) - 3 freq
needed (3) - 150 freq
neebur (3) - 11 freq
deesul (3) - 1 freq
mindful (3) - 5 freq
needin' (3) - 7 freq
needid (3) - 1 freq
needn't (3) - 2 freq
needly (3) - 4 freq
needs (3) - 340 freq
needful (0) - 4 freq
needfu' (2) - 43 freq
needfu (2) - 12 freq
heidful (3) - 1 freq
needfire (4) - 1 freq
needle (4) - 39 freq
handful (4) - 3 freq
needly (4) - 4 freq
heedfu (4) - 1 freq
mindful (4) - 5 freq
neidil (4) - 1 freq
ferful (5) - 2 freq
needen (5) - 3 freq
needan (5) - 14 freq
naefun (5) - 1 freq
needie (5) - 3 freq
needgio (5) - 1 freq
leidfu (5) - 1 freq
earful (5) - 2 freq
nueuul (5) - 1 freq
dreadful (5) - 5 freq
woeful (5) - 4 freq
needna (5) - 44 freq
aweful (5) - 1 freq
needsna (5) - 2 freq
SoundEx code - N314
netflix - 16 freq
notably - 7 freq
'notable - 1 freq
notable - 5 freq
needful - 4 freq
€˜netflix - 1 freq
notability - 1 freq
notplanning - 1 freq
MetaPhone code - NTFL
needful - 4 freq
NEEDFUL
Time to execute Levenshtein function - 0.208470 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 - 0.362010 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 - 0.027666 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 - 0.000926 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.