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 hefner in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hefner (0) - 1 freq
heffer (1) - 2 freq
henner (1) - 3 freq
hender (2) - 1 freq
efter (2) - 3150 freq
hedder (2) - 11 freq
helter (2) - 3 freq
horner (2) - 2 freq
seener (2) - 14 freq
menner (2) - 4 freq
efer (2) - 1 freq
heeter (2) - 9 freq
hemmer (2) - 21 freq
tenner (2) - 25 freq
einer (2) - 1 freq
hefted (2) - 24 freq
werner (2) - 1 freq
hinner (2) - 46 freq
henery (2) - 1 freq
heifer (2) - 5 freq
efier (2) - 1 freq
gener (2) - 1 freq
refer (2) - 37 freq
heine (2) - 3 freq
herer (2) - 1 freq
hefner (0) - 1 freq
henner (2) - 3 freq
heffer (2) - 2 freq
hinner (3) - 46 freq
heifer (3) - 5 freq
hunner (3) - 442 freq
dufner (3) - 1 freq
heefer (3) - 1 freq
henery (3) - 1 freq
horner (3) - 2 freq
keener (4) - 6 freq
helper (4) - 5 freq
heater (4) - 13 freq
denner (4) - 273 freq
header (4) - 2 freq
ahunner (4) - 1 freq
hearer (4) - 1 freq
herber (4) - 5 freq
heer (4) - 19 freq
henry (4) - 44 freq
heider (4) - 12 freq
heiter (4) - 1 freq
seffer (4) - 1 freq
sheener (4) - 1 freq
heffers (4) - 1 freq
SoundEx code - H156
hauf-an-hour - 2 freq
heavenwards - 1 freq
heavenward - 1 freq
hauf-an-oor - 4 freq
hauf-mirk - 1 freq
hauf-murderin - 1 freq
hieven-wairds - 1 freq
hivnae-hurders - 1 freq
hefner - 1 freq
MetaPhone code - HFNR
hauf-an-oor - 4 freq
hefner - 1 freq
HEFNER
Time to execute Levenshtein function - 0.181254 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 - 0.404138 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 - 0.032124 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 - 0.043913 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 - 0.000858 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.