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 bundlet in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bundlet (0) - 2 freq
bundled (1) - 1 freq
bundles (1) - 4 freq
bundle (1) - 18 freq
bungle (2) - 2 freq
cuddlet (2) - 1 freq
bundelt (2) - 1 freq
bundlie (2) - 1 freq
bunnles (2) - 3 freq
bunnle (2) - 8 freq
bundie (2) - 1 freq
hundret (2) - 2 freq
bunder (2) - 1 freq
bungles (2) - 1 freq
bullet (2) - 32 freq
fundiet (2) - 1 freq
bucklet (2) - 1 freq
runklet (2) - 1 freq
bunden (2) - 1 freq
bunnet (2) - 111 freq
budget (2) - 31 freq
haundled (3) - 1 freq
beadle (3) - 9 freq
jundie (3) - 3 freq
bondie (3) - 3 freq
bundlet (0) - 2 freq
bundle (2) - 18 freq
bundles (2) - 4 freq
bundled (2) - 1 freq
bundelt (2) - 1 freq
bundlie (3) - 1 freq
bunnet (4) - 111 freq
bunden (4) - 1 freq
runklet (4) - 1 freq
budget (4) - 31 freq
bondit (4) - 1 freq
bucklet (4) - 1 freq
abundant (4) - 4 freq
bendit (4) - 2 freq
boundit (4) - 1 freq
bandit (4) - 7 freq
bungle (4) - 2 freq
bunnle (4) - 8 freq
cuddlet (4) - 1 freq
fundiet (4) - 1 freq
bundie (4) - 1 freq
bunnles (4) - 3 freq
bungles (4) - 1 freq
bullet (4) - 32 freq
bunder (4) - 1 freq
SoundEx code - B534
bundle - 18 freq
bentley - 4 freq
bundlet - 2 freq
bundles - 4 freq
bunnet-lairds - 1 freq
bundlie - 1 freq
bundelt - 1 freq
boundless - 1 freq
bundled - 1 freq
bundling - 1 freq
bentleysteed - 1 freq
bindelj - 1 freq
MetaPhone code - BNTLT
bundlet - 2 freq
bundelt - 1 freq
bundled - 1 freq
BUNDLET
Time to execute Levenshtein function - 0.352456 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 - 0.547228 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 - 0.064415 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 - 0.040448 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 - 0.000870 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.