A Corpus of 21st Century Scots Texts

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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 language� in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
language'll (3) - 1 freq
languagedom (3) - 1 freq
language-no (3) - 1 freq
language's (3) - 3 freq
language (3) - 1435 freq
languages' (3) - 2 freq
languages (3) - 317 freq
language” (3) - 1 freq
language' (3) - 13 freq
languagesnac (4) - 1 freq
'language (4) - 5 freq
languag (4) - 1 freq
langage (4) - 244 freq
languge (4) - 1 freq
'languages (4) - 1 freq
langages (4) - 23 freq
langauge' (5) - 1 freq
uslanguagesoc (5) - 2 freq
linguacelta (5) - 1 freq
oxlanguages (5) - 1 freq
langfaced (5) - 1 freq
langauge (5) - 2 freq
languages…’ (5) - 1 freq
langue (5) - 2 freq
langageness (5) - 1 freq
languages (6) - 317 freq
language' (6) - 13 freq
language'll (6) - 1 freq
languages' (6) - 2 freq
language” (6) - 1 freq
language-no (6) - 1 freq
language (6) - 1435 freq
language's (6) - 3 freq
languagedom (6) - 1 freq
languge (7) - 1 freq
langage (7) - 244 freq
languagesnac (7) - 1 freq
langages (7) - 23 freq
languag (7) - 1 freq
langageness (8) - 1 freq
langauge' (8) - 1 freq
langauge (8) - 2 freq
'language (8) - 5 freq
'languages (8) - 1 freq
languedoc (9) - 1 freq
langues (9) - 1 freq
uslanguagesoc (9) - 2 freq
langue (9) - 2 freq
lang-ago (9) - 1 freq
oxlanguages (9) - 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 - LNKJ
language - 1435 freq
language' - 13 freq
langage - 244 freq
langauge - 2 freq
'language - 5 freq
languge - 1 freq
langauge' - 1 freq
language” - 1 freq
LANGUAGE�
Time to execute Levenshtein function - 0.189271 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 - 0.354135 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 - 0.027678 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 - 0.037840 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 - 0.000924 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.