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 hunters in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hunters (0) - 16 freq
dunters (1) - 6 freq
aunters (1) - 1 freq
hunter's (1) - 10 freq
hunkers (1) - 11 freq
punters (1) - 21 freq
hunter (1) - 48 freq
hunners (1) - 208 freq
hulters (1) - 2 freq
hunders (1) - 25 freq
wunters (1) - 6 freq
winters (2) - 21 freq
gunners (2) - 1 freq
gutters (2) - 10 freq
saunters (2) - 2 freq
pynters (2) - 1 freq
dungers (2) - 3 freq
hooters (2) - 3 freq
hungert (2) - 39 freq
hunnert (2) - 14 freq
dunthers (2) - 1 freq
heaters (2) - 5 freq
haunders (2) - 1 freq
hunnerds (2) - 1 freq
haters (2) - 1 freq
hunters (0) - 16 freq
hunners (2) - 208 freq
hulters (2) - 2 freq
wunters (2) - 6 freq
hunter (2) - 48 freq
hunders (2) - 25 freq
dunters (2) - 6 freq
punters (2) - 21 freq
aunters (2) - 1 freq
hunter's (2) - 10 freq
hunkers (2) - 11 freq
hunnurs (3) - 2 freq
anters (3) - 1 freq
handers (3) - 1 freq
hunts (3) - 12 freq
enters (3) - 10 freq
hauners (3) - 6 freq
hinners (3) - 5 freq
haunners (3) - 1 freq
chanters (3) - 8 freq
hingers (3) - 5 freq
penters (3) - 2 freq
henners (3) - 1 freq
pinters (3) - 1 freq
canters (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
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 - HNTRS
hunter's - 10 freq
hunders - 25 freq
hunters - 16 freq
hendry's - 2 freq
haunders - 1 freq
hinders - 2 freq
handers - 1 freq
HUNTERS
Time to execute Levenshtein function - 0.183540 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 - 0.339133 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 - 0.027630 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 - 0.038248 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 - 0.000886 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.