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 longest in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
longest (0) - 4 freq
loangest (1) - 1 freq
langest (1) - 20 freq
lodgest (1) - 1 freq
long's (2) - 2 freq
langelt (2) - 1 freq
contest (2) - 16 freq
yingest (2) - 2 freq
longed (2) - 5 freq
lunges (2) - 2 freq
lounges (2) - 1 freq
'onest (2) - 1 freq
youngest (2) - 34 freq
ingest (2) - 2 freq
yungest (2) - 3 freq
loodest (2) - 3 freq
loest (2) - 1 freq
honest (2) - 195 freq
largest (2) - 5 freq
lowest (2) - 10 freq
longs (2) - 1 freq
loudest (2) - 9 freq
lingert (2) - 2 freq
longer (2) - 72 freq
fondest (2) - 1 freq
longest (0) - 4 freq
langest (1) - 20 freq
loangest (1) - 1 freq
lodgest (2) - 1 freq
youngest (3) - 34 freq
longs (3) - 1 freq
yungest (3) - 3 freq
lounges (3) - 1 freq
ingest (3) - 2 freq
yingest (3) - 2 freq
linguist (3) - 7 freq
langelt (3) - 1 freq
lingert (3) - 2 freq
largest (3) - 5 freq
lunges (3) - 2 freq
lungs (4) - 54 freq
angst (4) - 4 freq
yingist (4) - 1 freq
langt (4) - 2 freq
tengist (4) - 5 freq
younngest (4) - 1 freq
langish (4) - 1 freq
langues (4) - 1 freq
leninst (4) - 1 freq
langs (4) - 1 freq
SoundEx code - L522
linguist - 7 freq
language - 1435 freq
linguistically - 20 freq
languages - 317 freq
launches - 5 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 - 1 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 - LNJST
langest - 20 freq
longest - 4 freq
loangest - 1 freq
LONGEST
Time to execute Levenshtein function - 0.214119 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 - 0.365522 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 - 0.028354 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 - 0.037591 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 - 0.000905 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.