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 oblongs in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
oblongs (0) - 1 freq
oblong (1) - 4 freq
belongs (2) - 14 freq
blogs (2) - 9 freq
plongs (2) - 10 freq
longs (2) - 1 freq
bloggs (2) - 1 freq
oboils (3) - 1 freq
siblings (3) - 6 freq
thongs (3) - 2 freq
blooms (3) - 9 freq
clogs (3) - 10 freq
pylons (3) - 5 freq
blenks (3) - 1 freq
goblins (3) - 1 freq
slonks (3) - 3 freq
blocs (3) - 2 freq
bings (3) - 16 freq
belong (3) - 14 freq
blond (3) - 20 freq
blinns (3) - 1 freq
bungs (3) - 1 freq
boags (3) - 5 freq
'long (3) - 2 freq
bloods (3) - 5 freq
oblongs (0) - 1 freq
belongs (2) - 14 freq
oblong (2) - 4 freq
bilangs (3) - 6 freq
belangs (3) - 79 freq
bloggs (3) - 1 freq
longs (3) - 1 freq
blogs (3) - 9 freq
plongs (3) - 10 freq
bling (4) - 3 freq
baelangs (4) - 2 freq
beings (4) - 4 freq
walings (4) - 2 freq
clings (4) - 9 freq
ootlings (4) - 1 freq
slings (4) - 2 freq
b'langs (4) - 2 freq
blondes (4) - 2 freq
obliges (4) - 1 freq
flings (4) - 20 freq
brings (4) - 116 freq
lungs (4) - 54 freq
blinks (4) - 14 freq
bangs (4) - 13 freq
blens (4) - 1 freq
SoundEx code - O145
opulence - 2 freq
oblong - 4 freq
oblongs - 1 freq
offline - 1 freq
MetaPhone code - OBLNKS
oblongs - 1 freq
OBLONGS
Time to execute Levenshtein function - 0.242780 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 - 0.408377 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 - 0.030456 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 - 0.041085 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 - 0.001105 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.