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 hinterlands in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hinterlands (0) - 1 freq
interleids (3) - 1 freq
hielands (3) - 11 freq
winterlang (3) - 1 freq
hyne-launds (4) - 1 freq
newlands (4) - 2 freq
nederlands (4) - 2 freq
intervals (4) - 2 freq
sunderland (4) - 4 freq
interlude (4) - 1 freq
interlocks (4) - 1 freq
fingerbanes (4) - 1 freq
hinnerance (4) - 1 freq
aifterwards (4) - 3 freq
hinderance (4) - 1 freq
hielants (4) - 1 freq
hieland (4) - 16 freq
silversands (4) - 1 freq
historian's (4) - 1 freq
hinnerein's (4) - 1 freq
pentlands (4) - 2 freq
mitterand (4) - 4 freq
borderlands (4) - 2 freq
hielans (4) - 17 freq
heilands (4) - 1 freq
hinterlands (0) - 1 freq
interleids (5) - 1 freq
pentlands (6) - 2 freq
hairtlands (6) - 1 freq
netherlands (6) - 7 freq
hint-ends (6) - 1 freq
hertlands (6) - 2 freq
nederlands (6) - 2 freq
hyne-launds (6) - 1 freq
hielands (6) - 11 freq
winterlang (6) - 1 freq
wonderland (7) - 8 freq
heartlands (7) - 2 freq
intervenes (7) - 2 freq
hinnerson's (7) - 2 freq
hinderend (7) - 1 freq
historians (7) - 11 freq
reiverlands (7) - 1 freq
hinner-end (7) - 3 freq
hinner-ens (7) - 1 freq
highlands (7) - 12 freq
hinnerend (7) - 28 freq
hinnersin's (7) - 1 freq
hintend (7) - 1 freq
heelands (7) - 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 - HNTRLNTS
hinterlands - 1 freq
HINTERLANDS
Time to execute Levenshtein function - 0.244831 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 - 0.436275 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 - 0.027728 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 - 0.041815 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 - 0.000901 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.