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 hame-drachtit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hame-drachtit (0) - 1 freq
hame-drauchtit (1) - 1 freq
depe-drauchtit (4) - 1 freq
name-drappin (5) - 2 freq
ham-actin (5) - 1 freq
out-drauchtit (5) - 1 freq
hame-bakin (6) - 1 freq
drauchtit (6) - 1 freq
attractit (6) - 6 freq
hame-comin (6) - 3 freq
sair-wechtit (6) - 1 freq
hame-farin (6) - 1 freq
extractit (6) - 4 freq
mediatit (6) - 1 freq
hame-airt (6) - 1 freq
hallierackit (6) - 5 freq
be-nichtit (6) - 1 freq
hauf-lachin (6) - 1 freq
hamethochts (6) - 1 freq
hauf-chackit (6) - 1 freq
drochtit (6) - 1 freq
hechtit (6) - 5 freq
hame-cumin (6) - 1 freq
redactit (6) - 1 freq
hielichtit (6) - 1 freq
hame-drachtit (0) - 1 freq
hame-drauchtit (1) - 1 freq
depe-drauchtit (6) - 1 freq
out-drauchtit (7) - 1 freq
weel-dichtit (9) - 1 freq
drauchtit (9) - 1 freq
druchtit (9) - 1 freq
ham-actin (9) - 1 freq
drochtit (9) - 1 freq
be-nichtit (10) - 1 freq
keel-drochts (10) - 1 freq
hame-airt (10) - 1 freq
hamethochts (10) - 1 freq
drouchtit (10) - 1 freq
sair-wechtit (10) - 1 freq
haim-schuilt (10) - 1 freq
name-drappin (10) - 2 freq
merchit (10) - 1 freq
age-wrocht (10) - 1 freq
hechtit (10) - 5 freq
hielichtit (10) - 1 freq
deilichtit (11) - 1 freq
heydrich's (11) - 3 freq
hail-hertit (11) - 2 freq
marchit (11) - 2 freq
SoundEx code - H536
handrail - 1 freq
hunter's - 10 freq
hendry - 6 freq
henderson's - 8 freq
hundred - 30 freq
hunder - 96 freq
hunderd - 1 freq
handiwork - 4 freq
hunders - 25 freq
hum-drum-like - 1 freq
hunters - 16 freq
haundiwark - 1 freq
hinder - 20 freq
'hundred - 1 freq
hunter - 48 freq
humdrum - 3 freq
hindrance - 5 freq
hender - 1 freq
hinther - 1 freq
honther - 1 freq
hundreds - 10 freq
henderson - 47 freq
haundiwork - 1 freq
hand-rearit - 1 freq
hinterlands - 1 freq
hunterston - 2 freq
han-dred - 1 freq
hendry's - 2 freq
hundyr - 1 freq
haandwritin - 1 freq
handwriting - 1 freq
hindered - 3 freq
hame-trowe - 1 freq
haundiwirk - 1 freq
haundwritin - 1 freq
haundrail - 1 freq
hendrix - 2 freq
haundywurk - 1 freq
handwritan - 1 freq
hunter-gadderers - 2 freq
hundert - 7 freq
hame-drachtit - 1 freq
hendrie - 1 freq
hindersome - 1 freq
haund-wrutten - 1 freq
hundreth - 3 freq
hinderance - 1 freq
hundredth - 2 freq
henderson'll - 1 freq
haund-wrocht - 1 freq
haunders - 1 freq
hamtramck - 1 freq
hame-trow - 3 freq
hinderly - 1 freq
hunter-gaitherin - 1 freq
hindermaist - 2 freq
hinders - 2 freq
hunnder - 1 freq
hundret - 2 freq
haundower - 1 freq
hinderend - 1 freq
huntherwechts - 1 freq
handiwark - 2 freq
hender-them-na - 1 freq
handrails - 1 freq
haund-drawn - 1 freq
handwritings - 1 freq
handier - 1 freq
handers - 1 freq
‘hendersons’ - 1 freq
‘henderson’ - 1 freq
hame-drauchtit - 1 freq
hunderts - 1 freq
hendron - 2 freq
hunterfieldv - 5 freq
MetaPhone code - HMTRXTT
hame-drachtit - 1 freq
hame-drauchtit - 1 freq
HAME-DRACHTIT
Time to execute Levenshtein function - 0.692871 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 - 1.184240 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 - 0.035748 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 - 0.172186 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 - 0.001087 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.