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 hundert in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hundert (0) - 7 freq
hunder (1) - 96 freq
thundert (1) - 1 freq
hunnert (1) - 14 freq
lundert (1) - 1 freq
hunderts (1) - 1 freq
hunders (1) - 25 freq
hunert (1) - 5 freq
hunkert (1) - 20 freq
hungert (1) - 39 freq
wundert (1) - 1 freq
hunderd (1) - 1 freq
dundert (1) - 1 freq
funnert (2) - 2 freq
foundert (2) - 3 freq
handers (2) - 1 freq
bundelt (2) - 1 freq
haundet (2) - 4 freq
sunder (2) - 1 freq
lunder (2) - 1 freq
hundret (2) - 2 freq
hunerts (2) - 1 freq
'under (2) - 2 freq
dunnert (2) - 1 freq
wunder (2) - 26 freq
hundert (0) - 7 freq
hungert (2) - 39 freq
hunkert (2) - 20 freq
wundert (2) - 1 freq
hunderd (2) - 1 freq
hundret (2) - 2 freq
hunert (2) - 5 freq
dundert (2) - 1 freq
thundert (2) - 1 freq
hunders (2) - 25 freq
hunnert (2) - 14 freq
lundert (2) - 1 freq
hunderts (2) - 1 freq
hunder (2) - 96 freq
sindert (3) - 41 freq
hinders (3) - 2 freq
hundyr (3) - 1 freq
hungerit (3) - 1 freq
haunders (3) - 1 freq
loundert (3) - 1 freq
hinder (3) - 20 freq
randert (3) - 1 freq
hinnert (3) - 3 freq
pandert (3) - 1 freq
hender (3) - 1 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
hendrix - 3 freq
handwriting - 2 freq
handwritin - 2 freq
henderson - 48 freq
hindwird - 1 freq
hinderenn - 1 freq
hinther - 1 freq
honther - 1 freq
hundreds - 10 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
hindered - 3 freq
hame-trowe - 1 freq
haundiwirk - 1 freq
haundwritin - 1 freq
haundrail - 1 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 - HNTRT
hundred - 30 freq
hunderd - 1 freq
'hundred - 1 freq
han-dred - 1 freq
hindered - 3 freq
hundert - 7 freq
hundret - 2 freq
HUNDERT
Time to execute Levenshtein function - 0.205997 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 - 0.360994 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 - 0.028145 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 - 0.039181 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 - 0.001096 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.