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 victuals in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
victuals (0) - 5 freq
victual (1) - 1 freq
vitals (2) - 1 freq
virtual (2) - 37 freq
rituals (2) - 3 freq
vittals (2) - 2 freq
victoary (3) - 1 freq
actual (3) - 109 freq
victor's (3) - 2 freq
ritual (3) - 15 freq
vistas (3) - 3 freq
factual (3) - 9 freq
richual (3) - 1 freq
'virtual' (3) - 1 freq
vicars (3) - 1 freq
visual (3) - 5 freq
pictures (3) - 79 freq
ectual (3) - 3 freq
aictully (3) - 1 freq
picturl (3) - 1 freq
victries (3) - 1 freq
virtually (3) - 13 freq
virtuous (3) - 3 freq
victors (3) - 1 freq
picturs (3) - 61 freq
victuals (0) - 5 freq
victual (2) - 1 freq
vittals (3) - 2 freq
vitals (3) - 1 freq
victors (4) - 1 freq
victries (4) - 1 freq
victims (4) - 10 freq
virtual (4) - 37 freq
rituals (4) - 3 freq
virtues (5) - 7 freq
virtuous (5) - 3 freq
virtually (5) - 13 freq
vicous (5) - 1 freq
rictus (5) - 2 freq
vittles (5) - 1 freq
victories (5) - 5 freq
actual (5) - 109 freq
vital (5) - 31 freq
picturs (5) - 61 freq
victoary (5) - 1 freq
factual (5) - 9 freq
victor's (5) - 2 freq
vistas (5) - 3 freq
vicars (5) - 1 freq
recitals (5) - 2 freq
SoundEx code - V234
vastly - 3 freq
victuals - 5 freq
victual - 1 freq
visitwales - 1 freq
MetaPhone code - FKTLS
victuals - 5 freq
VICTUALS
Time to execute Levenshtein function - 0.411723 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 - 0.785513 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 - 0.027765 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 - 0.078469 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 - 0.000875 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.