A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to snorers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
snorers (0) - 2 freq
scorers (1) - 1 freq
snores (1) - 6 freq
sobers (2) - 1 freq
snookers (2) - 1 freq
spores (2) - 2 freq
showers (2) - 8 freq
scores (2) - 15 freq
storeys (2) - 3 freq
snorts (2) - 5 freq
sores (2) - 3 freq
snokes (2) - 1 freq
sookers (2) - 2 freq
snpers (2) - 2 freq
snotters (2) - 8 freq
stores (2) - 30 freq
shooers (2) - 17 freq
storer (2) - 1 freq
snored (2) - 7 freq
sneers (2) - 2 freq
smokers (2) - 8 freq
snore (2) - 6 freq
sojers (2) - 54 freq
snorls (2) - 3 freq
sorners (2) - 2 freq
snorers (0) - 2 freq
snores (2) - 6 freq
scorers (2) - 1 freq
sneers (3) - 2 freq
snpers (3) - 2 freq
snorls (3) - 3 freq
snares (3) - 4 freq
snorts (3) - 5 freq
snorry (3) - 1 freq
snorks (3) - 1 freq
snookers (3) - 1 freq
shearers (4) - 1 freq
snarls (4) - 7 freq
sterrs (4) - 7 freq
snooerry (4) - 1 freq
steerers (4) - 1 freq
snurts (4) - 1 freq
smirrs (4) - 1 freq
sores (4) - 3 freq
sonorous (4) - 2 freq
snorri's (4) - 1 freq
sinders (4) - 4 freq
norris (4) - 1 freq
sorras (4) - 6 freq
sanners (4) - 2 freq
SoundEx code - S566
snorers - 2 freq
MetaPhone code - SNRRS
snorers - 2 freq
SNORERS
Time to execute Levenshtein function - 0.633787 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 - 0.888509 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 - 0.082475 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 - 0.100804 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 - 0.002125 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.