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 affectionately in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
affectionately (0) - 5 freq
affectionate (2) - 4 freq
addeitionally (5) - 1 freq
affection (5) - 24 freq
effectively (5) - 14 freq
affections (5) - 2 freq
affectioun (6) - 1 freq
objectionable (6) - 1 freq
alternately (6) - 1 freq
functionality (6) - 1 freq
functionary (6) - 1 freq
fictional (6) - 3 freq
affectit (6) - 11 freq
affrontery (6) - 2 freq
'definately (6) - 1 freq
fortunately (6) - 10 freq
functional (6) - 11 freq
feictional (6) - 1 freq
addeetional (6) - 3 freq
affectation (6) - 4 freq
exceptionally (6) - 1 freq
intentionally (6) - 1 freq
affectin (6) - 2 freq
efficiently (6) - 3 freq
affecting (6) - 8 freq
affectionately (0) - 5 freq
affectionate (3) - 4 freq
affections (7) - 2 freq
efficiently (7) - 3 freq
effectively (7) - 14 freq
affection (7) - 24 freq
functional (8) - 11 freq
fortunately (8) - 10 freq
feictional (8) - 1 freq
affecting (8) - 8 freq
affectin (8) - 2 freq
affectation (8) - 4 freq
onaffectiounat (8) - 1 freq
fictional (8) - 3 freq
affectioun (8) - 1 freq
unfortunately (8) - 28 freq
affectit (8) - 11 freq
functiont (9) - 1 freq
effeminate (9) - 1 freq
expectantly (9) - 6 freq
effectit (9) - 1 freq
inflectional (9) - 6 freq
sufficiently (9) - 1 freq
directional (9) - 1 freq
functionary (9) - 1 freq
SoundEx code - A123
apostrophes - 17 freq
apostrophe - 13 freq
affectionately - 5 freq
affection - 24 freq
affecting - 8 freq
awbesit - 2 freq
affectin - 2 freq
affected - 12 freq
affixed - 1 freq
aff-cut - 1 freq
affecteed - 1 freq
affects - 10 freq
abstract - 16 freq
affectionate - 4 freq
abstraction - 3 freq
afaistane - 5 freq
affset - 2 freq
abstainit - 3 freq
affect - 10 freq
abstrack - 4 freq
abjoot - 1 freq
abstain - 6 freq
affest - 1 freq
affections - 2 freq
apostles - 6 freq
apostrophe' - 2 freq
abasht - 1 freq
affstage - 1 freq
abused - 6 freq
affside - 4 freq
affectation - 4 freq
aff-stage - 3 freq
aff-step - 1 freq
apostophe - 1 freq
abstractions - 1 freq
abstains - 2 freq
aufsteigt - 1 freq
apostolic - 1 freq
affectioun - 1 freq
affectit - 11 freq
avysit - 1 freq
avocado - 2 freq
apostolis - 1 freq
abuised - 1 freq
avast - 3 freq
apposeet - 1 freq
affshoots - 1 freq
aff-piste - 1 freq
affshuit - 1 freq
appeased - 1 freq
afektan - 1 freq
awfastraight - 1 freq
avacado - 1 freq
abcedminded - 1 freq
afcct - 3 freq
afecwuat - 1 freq
avochat - 1 freq
awbesits - 1 freq
afoust - 1 freq
avocados - 1 freq
aavzidhr - 1 freq
abstained - 1 freq
afctranent - 6 freq
abstainin - 1 freq
afcdunbar - 1 freq
abstaining - 1 freq
appggtr - 1 freq
abbeycottage - 1 freq
MetaPhone code - AFKXNTL
affectionately - 5 freq
AFFECTIONATELY
Time to execute Levenshtein function - 0.303549 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 - 0.700081 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 - 0.051540 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 - 0.040520 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 - 0.001024 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.