A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

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Similar words to dweller in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
dweller (0) - 2 freq
duller (2) - 2 freq
waller (2) - 1 freq
welder (2) - 4 freq
bueller (2) - 1 freq
dueler (2) - 1 freq
dealer (2) - 15 freq
dwells (2) - 2 freq
dwell (2) - 11 freq
swelled (2) - 8 freq
feller (2) - 1 freq
seller (2) - 11 freq
geller (2) - 1 freq
keller (2) - 1 freq
delled (2) - 2 freq
wellen (2) - 1 freq
deleer (2) - 1 freq
speller (2) - 2 freq
dwellin (2) - 4 freq
driller (2) - 5 freq
teller (2) - 1 freq
heller (2) - 3 freq
dwallers (2) - 3 freq
jeweller (2) - 14 freq
kdeller (2) - 1 freq
dweller (0) - 2 freq
dwell (3) - 11 freq
jeweller (3) - 14 freq
duller (3) - 2 freq
dwells (3) - 2 freq
dwallers (3) - 3 freq
waller (3) - 1 freq
driller (3) - 5 freq
dwellin (3) - 4 freq
kdeller (4) - 1 freq
dollar (4) - 12 freq
dwalls (4) - 1 freq
dwall (4) - 10 freq
indwaller (4) - 1 freq
jewellery (4) - 30 freq
dwallit (4) - 2 freq
dwallin (4) - 15 freq
dwallt (4) - 4 freq
teller (4) - 1 freq
dillier (4) - 1 freq
heller (4) - 3 freq
swelled (4) - 8 freq
feller (4) - 1 freq
dealer (4) - 15 freq
dueler (4) - 1 freq
SoundEx code - D460
dollar - 12 freq
dealer - 15 freq
dalry - 3 freq
dillier - 1 freq
duller - 2 freq
dailer - 1 freq
dueler - 1 freq
deleer - 1 freq
dweller - 2 freq
dtaylor - 7 freq
dlir - 1 freq
MetaPhone code - TWLR
dweller - 2 freq
DWELLER
Time to execute Levenshtein function - 0.204294 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 - 0.384658 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 - 0.028112 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 - 0.039752 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 - 0.000884 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.