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 hopepunkq in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hopepunkq (0) - 8 freq
honeypunk (3) - 1 freq
hopefu (4) - 11 freq
homespun (4) - 1 freq
hopeful (4) - 10 freq
hopein (4) - 1 freq
hopefully (4) - 60 freq
hoppin (4) - 11 freq
hoppened (4) - 1 freq
hopen (4) - 1 freq
hoopin (5) - 5 freq
oppenly (5) - 1 freq
happeq (5) - 1 freq
happen't (5) - 2 freq
heppin (5) - 1 freq
openit (5) - 4 freq
hoping (5) - 31 freq
happence (5) - 1 freq
openly (5) - 11 freq
hoped (5) - 42 freq
happin (5) - 16 freq
notebuik (5) - 1 freq
heuk (5) - 11 freq
open't (5) - 5 freq
happing (5) - 1 freq
hopepunkq (0) - 8 freq
honeypunk (5) - 1 freq
hoppened (6) - 1 freq
hoppin (6) - 11 freq
happen (7) - 386 freq
hippin (7) - 1 freq
happint (7) - 15 freq
happent (7) - 194 freq
happened (7) - 461 freq
hippened (7) - 1 freq
happin't (7) - 1 freq
heppenin (7) - 1 freq
hippins (7) - 3 freq
heppens (7) - 4 freq
happens (7) - 207 freq
hippens (7) - 5 freq
heppen (7) - 11 freq
happenan (7) - 3 freq
happenit (7) - 12 freq
happenin (7) - 144 freq
heppent (7) - 7 freq
happins (7) - 3 freq
happinen (7) - 1 freq
happnin (7) - 7 freq
happan (7) - 2 freq
SoundEx code - H115
hauf-apen - 2 freq
hauf-hopin - 2 freq
hauf-opened - 1 freq
hivwvens - 1 freq
hopepunkq - 8 freq
MetaPhone code - HPPNKK
hopepunkq - 8 freq
HOPEPUNKQ
Time to execute Levenshtein function - 0.317869 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 - 0.675575 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 - 0.032525 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 - 0.086640 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 - 0.001064 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.