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 bitterly in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bitterly (0) - 9 freq
utterly (2) - 18 freq
battery (2) - 23 freq
sisterly (2) - 1 freq
latterly (2) - 4 freq
mitherly (2) - 3 freq
bitter (2) - 109 freq
butterfly (2) - 7 freq
britherly (2) - 1 freq
buttery (2) - 24 freq
jittery (2) - 3 freq
witter (3) - 10 freq
lottery (3) - 29 freq
bitey (3) - 1 freq
butter's (3) - 1 freq
titters (3) - 1 freq
ainerly (3) - 2 freq
cattery (3) - 8 freq
pottery (3) - 5 freq
miserly (3) - 1 freq
baitter (3) - 1 freq
fittert (3) - 1 freq
mitter (3) - 1 freq
fitters (3) - 3 freq
skittery (3) - 3 freq
bitterly (0) - 9 freq
bitter (3) - 109 freq
latterly (3) - 4 freq
buttery (3) - 24 freq
utterly (3) - 18 freq
battery (3) - 23 freq
butterfly (3) - 7 freq
butter (4) - 129 freq
bittle (4) - 1 freq
butterie (4) - 7 freq
bittersie (4) - 2 freq
batterin (4) - 26 freq
buttert (4) - 7 freq
batteren (4) - 1 freq
buttered (4) - 19 freq
batters (4) - 8 freq
betterin (4) - 3 freq
butteret (4) - 1 freq
batter (4) - 68 freq
battered (4) - 35 freq
bettert (4) - 2 freq
battert (4) - 7 freq
butterin (4) - 2 freq
batterit (4) - 1 freq
better (4) - 1675 freq
SoundEx code - B364
baitter-lookin - 1 freq
buttérlumps - 1 freq
better-like - 2 freq
bitterly - 9 freq
betrayal - 7 freq
bedroll - 7 freq
MetaPhone code - BTRL
bitterly - 9 freq
bedroll - 7 freq
BITTERLY
Time to execute Levenshtein function - 0.207312 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 - 0.352294 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 - 0.027358 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 - 0.037617 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 - 0.000822 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.