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 inner in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
inner (0) - 44 freq
sinner (1) - 10 freq
winner (1) - 138 freq
onner (1) - 3 freq
hinner (1) - 46 freq
cinner (1) - 1 freq
tinner (1) - 1 freq
innes (1) - 14 freq
inver (1) - 1 freq
binner (1) - 2 freq
inter (1) - 2 freq
linner (1) - 2 freq
rinner (1) - 13 freq
infer (1) - 1 freq
dinner (1) - 130 freq
unner (1) - 454 freq
idder (2) - 286 freq
inked (2) - 4 freq
insert (2) - 3 freq
miner (2) - 6 freq
linger (2) - 5 freq
winder (2) - 112 freq
linne (2) - 1 freq
intr (2) - 1 freq
winnen (2) - 1 freq
inner (0) - 44 freq
onner (1) - 3 freq
unner (1) - 454 freq
dinner (2) - 130 freq
rinner (2) - 13 freq
infer (2) - 1 freq
yonner (2) - 67 freq
aonner (2) - 1 freq
linner (2) - 2 freq
innoyer (2) - 1 freq
onnir (2) - 1 freq
sinner (2) - 10 freq
cinner (2) - 1 freq
inter (2) - 2 freq
winner (2) - 138 freq
hinner (2) - 46 freq
binner (2) - 2 freq
inver (2) - 1 freq
innes (2) - 14 freq
tinner (2) - 1 freq
inn' (3) - 2 freq
insear (3) - 1 freq
inower (3) - 10 freq
inunner (3) - 1 freq
inane (3) - 2 freq
SoundEx code - I560
inower - 10 freq
inner - 44 freq
immer - 2 freq
innywhaur - 1 freq
i'winner - 1 freq
i'mower - 1 freq
i'mair - 1 freq
ianuare - 1 freq
innoyer - 1 freq
imrie - 1 freq
ianmaher - 1 freq
MetaPhone code - INR
inner - 44 freq
ianuare - 1 freq
INNER
Time to execute Levenshtein function - 0.370657 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 - 0.568186 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 - 0.029070 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 - 0.058858 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 - 0.000775 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.