A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

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 hap-nap in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hap-nap (0) - 1 freq
hapnan (2) - 2 freq
hap- (3) - 1 freq
na-na (3) - 1 freq
hauna (3) - 5 freq
havena' (3) - 1 freq
happan (3) - 2 freq
laptoap (3) - 1 freq
hasna (3) - 29 freq
had'nae (3) - 1 freq
hasnae (3) - 43 freq
hav'nae (3) - 1 freq
haenna (3) - 3 freq
hapens (3) - 1 freq
havnae (3) - 23 freq
hannah (3) - 10 freq
haesna (3) - 53 freq
havena (3) - 2 freq
a-tap (3) - 1 freq
happenan (3) - 3 freq
chap-chap (3) - 1 freq
laptap (3) - 1 freq
haena (3) - 49 freq
hausna (3) - 1 freq
haesnae (3) - 16 freq
hap-nap (0) - 1 freq
hip-hop (4) - 1 freq
hapnan (4) - 2 freq
happnin (5) - 7 freq
hapens (5) - 1 freq
happenan (5) - 3 freq
happ (5) - 4 freq
tip-tap (5) - 3 freq
hap- (5) - 1 freq
happan (5) - 2 freq
happy (6) - 764 freq
happenin (6) - 144 freq
happins (6) - 3 freq
happened (6) - 461 freq
happinen (6) - 1 freq
happens (6) - 207 freq
happing (6) - 1 freq
hopen (6) - 1 freq
hopp (6) - 5 freq
hpny (6) - 1 freq
happneen (6) - 1 freq
hae-in (6) - 1 freq
hopan (6) - 6 freq
happend (6) - 1 freq
happint (6) - 15 freq
SoundEx code - H151
hobnobbin - 2 freq
hauf-empty - 1 freq
hap-nap - 1 freq
hobnob - 2 freq
havenport - 1 freq
hafnvagr - 1 freq
MetaPhone code - HPNP
hap-nap - 1 freq
HAP-NAP
Time to execute Levenshtein function - 0.532459 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 - 1.273782 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 - 0.099541 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 - 0.101403 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 - 0.007937 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.