A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to narratit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
narratit (0) - 1 freq
narrator (2) - 30 freq
narrate (2) - 3 freq
narrates (2) - 1 freq
narrative (2) - 41 freq
arrayit (2) - 2 freq
parrotit (2) - 1 freq
narration (2) - 1 freq
starratt (3) - 1 freq
negatit (3) - 1 freq
narrete (3) - 1 freq
narraed (3) - 1 freq
arrivit (3) - 7 freq
barratrie (3) - 1 freq
saatit (3) - 1 freq
laceratit (3) - 1 freq
narrae (3) - 15 freq
narra (3) - 38 freq
warstit (3) - 1 freq
erratic (3) - 4 freq
farrant (3) - 21 freq
tartit (3) - 1 freq
nairrative (3) - 3 freq
barrett (3) - 1 freq
narrowin (3) - 5 freq
narratit (0) - 1 freq
parrotit (3) - 1 freq
narration (3) - 1 freq
narrative (3) - 41 freq
narrator (3) - 30 freq
narrate (3) - 3 freq
narrates (3) - 1 freq
barrett (4) - 1 freq
narrest (4) - 6 freq
norration (4) - 1 freq
unnerratit (4) - 2 freq
nairrative (4) - 3 freq
narrete (4) - 1 freq
arrayit (4) - 2 freq
markatt (5) - 1 freq
dairtit (5) - 1 freq
earrant (5) - 1 freq
forritt (5) - 5 freq
nairator (5) - 1 freq
varrit (5) - 1 freq
nairative (5) - 3 freq
pairtit (5) - 21 freq
narrie (5) - 1 freq
arrestit (5) - 7 freq
narraer (5) - 1 freq
SoundEx code - N633
narratit - 1 freq
nae-airtit - 1 freq
MetaPhone code - NRTT
narratit - 1 freq
nae-airtit - 1 freq
NARRATIT
Time to execute Levenshtein function - 0.244827 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 - 0.384269 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 - 0.028380 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 - 0.038063 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 - 0.000922 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.