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 erches in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
erches (0) - 1 freq
perches (1) - 2 freq
arches (1) - 17 freq
merches (1) - 3 freq
etched (2) - 13 freq
ernes (2) - 1 freq
leaches (2) - 3 freq
eries (2) - 1 freq
erchie (2) - 59 freq
perched (2) - 20 freq
lenches (2) - 1 freq
marches (2) - 16 freq
erles (2) - 1 freq
benches (2) - 13 freq
eichts (2) - 4 freq
torches (2) - 14 freq
echas (2) - 4 freq
eitches (2) - 1 freq
teaches (2) - 3 freq
searches (2) - 4 freq
fetches (2) - 4 freq
belches (2) - 1 freq
eccles (2) - 1 freq
eccies (2) - 3 freq
peaches (2) - 2 freq
erches (0) - 1 freq
arches (1) - 17 freq
airches (2) - 12 freq
iurches (2) - 1 freq
orchis (2) - 1 freq
riches (2) - 23 freq
merches (2) - 3 freq
perches (2) - 2 freq
reaches (2) - 24 freq
leeches (3) - 4 freq
niches (3) - 1 freq
arched (3) - 3 freq
erchie's (3) - 6 freq
echaes (3) - 2 freq
archer (3) - 9 freq
retches (3) - 1 freq
airchis (3) - 1 freq
erch (3) - 3 freq
beaches (3) - 12 freq
rochs (3) - 1 freq
creches (3) - 1 freq
lurches (3) - 2 freq
aches (3) - 10 freq
echoes (3) - 26 freq
beeches (3) - 1 freq
SoundEx code - E622
erses - 23 freq
erchie's - 6 freq
erika's - 2 freq
erikasbairn - 1 freq
erches - 1 freq
erzygfvwvl - 1 freq
eerjeestnoclueduprite - 1 freq
ericajanepoet - 2 freq
MetaPhone code - ERXS
erchie's - 6 freq
erches - 1 freq
ERCHES
Time to execute Levenshtein function - 0.189776 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 - 0.519004 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 - 0.032646 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 - 0.071457 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 - 0.000906 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.