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 ablow

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

Similar words to lunches in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
lunches (0) - 7 freq
punches (1) - 5 freq
dunches (1) - 1 freq
lurches (1) - 1 freq
launches (1) - 3 freq
lenches (1) - 1 freq
bunches (1) - 6 freq
inches (2) - 97 freq
hutches (2) - 1 freq
wenches (2) - 2 freq
pinches (2) - 2 freq
uncles (2) - 19 freq
finches (2) - 1 freq
wuncher (2) - 1 freq
lunges (2) - 2 freq
flinches (2) - 1 freq
'uncles (2) - 1 freq
launched (2) - 18 freq
crunches (2) - 3 freq
ounces (2) - 1 freq
lurchers (2) - 1 freq
leeches (2) - 4 freq
dunces (2) - 5 freq
lurcher (2) - 1 freq
luncheons (2) - 1 freq
lunches (0) - 7 freq
lenches (1) - 1 freq
launches (1) - 3 freq
bunches (2) - 6 freq
lurches (2) - 1 freq
punches (2) - 5 freq
dunches (2) - 1 freq
clenches (3) - 1 freq
leaches (3) - 3 freq
luchs (3) - 1 freq
munchies (3) - 2 freq
luncheons (3) - 1 freq
kinches (3) - 8 freq
lauches (3) - 1 freq
leeches (3) - 4 freq
lances (3) - 1 freq
lunch (3) - 68 freq
lenched (3) - 2 freq
latches (3) - 2 freq
flenches (3) - 2 freq
benches (3) - 13 freq
wenches (3) - 2 freq
pinches (3) - 2 freq
finches (3) - 1 freq
launched (3) - 18 freq
SoundEx code - L522
linguist - 7 freq
language - 1414 freq
linguistically - 20 freq
languages - 313 freq
launches - 3 freq
linguistic - 194 freq
language' - 13 freq
language's - 3 freq
langest - 20 freq
lounges - 1 freq
lancashire - 4 freq
luingis - 1 freq
langage - 244 freq
language-no - 2 freq
lenses - 10 freq
langauge - 2 freq
linguisitc - 1 freq
linguistic-literarie - 1 freq
linguisticallie-pleyfu - 1 freq
lionesses - 2 freq
lunches - 7 freq
linsey's - 1 freq
'language - 5 freq
langwij - 1 freq
linguists - 11 freq
'linguistic - 1 freq
linguisticrichts - 1 freq
longest - 4 freq
languishes - 1 freq
langwich - 1 freq
lang-akkered - 1 freq
langages - 23 freq
linkages - 1 freq
lenches - 1 freq
linguistics - 17 freq
languagedom - 1 freq
langues - 1 freq
langoch - 1 freq
lingistwick - 2 freq
lang-ago - 1 freq
linguistlist - 1 freq
langageness - 1 freq
lineages - 1 freq
loangest - 1 freq
langest-rinnin - 1 freq
lances - 1 freq
languge - 1 freq
lunges - 2 freq
language-lairnin - 1 freq
languages' - 2 freq
langish - 1 freq
lancaster - 3 freq
language'll - 1 freq
lang-acceptit - 1 freq
langwach - 17 freq
langwachis - 3 freq
languag - 1 freq
lang-socht-for - 1 freq
linguacelta - 1 freq
languagesnac - 1 freq
linguisticsguru - 3 freq
languages…’ - 1 freq
'languages - 1 freq
langauge' - 1 freq
languagelearning - 1 freq
lemnsissay - 1 freq
languagebandit - 1 freq
language” - 1 freq
MetaPhone code - LNXS
launches - 3 freq
lunches - 7 freq
lenches - 1 freq
LUNCHES
Time to execute Levenshtein function - 0.398500 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 - 0.702961 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 - 0.076128 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 - 0.042493 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 - 0.000913 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.