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 hives” in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hives” (0) - 2 freq
hives (2) - 2 freq
wivesÂ’ (2) - 1 freq
braes” (3) - 1 freq
gives (3) - 20 freq
jones” (3) - 1 freq
shoes” (3) - 1 freq
lives (3) - 241 freq
yowes” (3) - 1 freq
himes (3) - 4 freq
wives (3) - 42 freq
diveÂ’ (3) - 1 freq
wives' (3) - 1 freq
hies (3) - 1 freq
hides (3) - 14 freq
gien” (3) - 2 freq
hikes (3) - 1 freq
hyme” (3) - 1 freq
huives (3) - 1 freq
nives (3) - 2 freq
love” (3) - 1 freq
hame” (3) - 2 freq
hive (3) - 29 freq
hires (3) - 1 freq
rives (3) - 4 freq
hives” (0) - 2 freq
wivesÂ’ (4) - 1 freq
hives (4) - 2 freq
hame” (5) - 2 freq
horse” (5) - 1 freq
huives (5) - 1 freq
hyme” (5) - 1 freq
love” (5) - 1 freq
hibsÂ’ (5) - 1 freq
jones” (5) - 1 freq
hovesj (5) - 1 freq
hen” (5) - 1 freq
braes” (5) - 1 freq
yowes” (5) - 1 freq
shoes” (5) - 1 freq
dives (6) - 7 freq
lives' (6) - 1 freq
hivenae (6) - 1 freq
laks” (6) - 1 freq
lose” (6) - 1 freq
boys” (6) - 1 freq
hooves (6) - 21 freq
heivies (6) - 1 freq
havester (6) - 1 freq
heaves (6) - 2 freq
SoundEx code - H120
hippos - 1 freq
huifs - 7 freq
haps - 33 freq
hopes - 39 freq
hoops - 19 freq
howps - 30 freq
hips - 32 freq
howfs - 6 freq
heavies - 5 freq
heaves - 2 freq
heaps - 13 freq
hobbies - 8 freq
howffs - 5 freq
hooves - 21 freq
hubs - 3 freq
huffs - 2 freq
heips - 2 freq
huives - 1 freq
heep's - 1 freq
haufs - 5 freq
habbie's - 2 freq
happs - 2 freq
hibees - 11 freq
hibs - 45 freq
happeq - 1 freq
hops - 2 freq
hapes - 1 freq
hoofs - 8 freq
haufwyes - 2 freq
haufwyeg - 1 freq
hypsaea - 1 freq
happy's - 2 freq
haw-buss - 1 freq
hubby's - 1 freq
hopps - 1 freq
hauf-wyes - 1 freq
haeps - 4 freq
havoc - 6 freq
howpes - 1 freq
houps - 1 freq
houffs - 1 freq
haips - 1 freq
hbk - 1 freq
'habeas - 1 freq
hub's - 1 freq
haufweys - 1 freq
haaf's - 1 freq
hippies - 6 freq
heeps - 1 freq
€œhoops - 1 freq
haafwyes - 1 freq
hfq - 1 freq
hibsÂ’ - 1 freq
heivies - 1 freq
hbxj - 1 freq
hoffice - 1 freq
hives” - 2 freq
hives - 2 freq
heubeck - 1 freq
hfz - 1 freq
hebcu - 1 freq
huvvsz - 1 freq
hbpwhx - 1 freq
hps - 1 freq
hovesj - 1 freq
hubbys - 1 freq
hobk - 1 freq
hbbs - 1 freq
MetaPhone code - HFS
huifs - 7 freq
howfs - 6 freq
heavies - 5 freq
heaves - 2 freq
howffs - 5 freq
hooves - 21 freq
hughie's - 6 freq
huffs - 2 freq
huives - 1 freq
haufs - 5 freq
hoofs - 8 freq
hugh's - 4 freq
houffs - 1 freq
haaf's - 1 freq
hughes - 5 freq
highs - 1 freq
hughesie - 1 freq
heivies - 1 freq
hoffice - 1 freq
hives” - 2 freq
hives - 2 freq
HIVES”
Time to execute Levenshtein function - 0.270494 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 - 0.375305 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 - 0.031771 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 - 0.046960 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 - 0.001016 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.