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 hip-hop in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hip-hop (0) - 1 freq
hiphop (1) - 1 freq
hic-hoc (2) - 1 freq
chipshop (2) - 1 freq
him-how (2) - 1 freq
bishop (3) - 15 freq
chip-shoap (3) - 1 freq
hap-nap (3) - 1 freq
chopchop (3) - 1 freq
ho-ho (3) - 9 freq
zip-up (3) - 1 freq
rid-hot (3) - 5 freq
hilltop (3) - 3 freq
shit-hot (3) - 1 freq
him-hit (3) - 1 freq
hippos (3) - 1 freq
highog (3) - 1 freq
hippo (3) - 3 freq
'im-how (3) - 1 freq
skiphop (3) - 1 freq
hi-doh (3) - 6 freq
hislop (3) - 3 freq
tip-tap (3) - 3 freq
timehop (3) - 1 freq
chop-chop (3) - 1 freq
hip-hop (0) - 1 freq
hiphop (2) - 1 freq
hap-nap (4) - 1 freq
him-how (4) - 1 freq
chipshop (4) - 1 freq
hic-hoc (4) - 1 freq
hippo (5) - 3 freq
tip-tap (5) - 3 freq
chop-chop (5) - 1 freq
zip-up (5) - 1 freq
him-hit (5) - 1 freq
ho-ho (5) - 9 freq
chip-shoap (5) - 1 freq
chopchop (5) - 1 freq
hippy (6) - 4 freq
pup-pup (6) - 1 freq
happ (6) - 4 freq
hippie (6) - 2 freq
hoidy-hol (6) - 1 freq
chap-chap (6) - 1 freq
heidship (6) - 1 freq
heirship (6) - 6 freq
hie-heid (6) - 3 freq
ship-shape (6) - 1 freq
hail-hek (6) - 1 freq
SoundEx code - H110
hopefu - 11 freq
hopefou - 1 freq
hiphop - 1 freq
hippy-hoppy - 1 freq
hip-hop - 1 freq
haaf-five - 1 freq
hyafwvby - 1 freq
MetaPhone code - HPHP
hippy-hoppy - 1 freq
hip-hop - 1 freq
HIP-HOP
Time to execute Levenshtein function - 0.215355 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 - 0.604497 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 - 0.031743 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 - 0.037640 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 - 0.000765 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.