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 special in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
special (0) - 226 freq
speicial (1) - 1 freq
'special (1) - 4 freq
especial (1) - 6 freq
specials (1) - 4 freq
speecial (1) - 26 freq
speckan (2) - 2 freq
speil (2) - 17 freq
speal (2) - 1 freq
species (2) - 47 freq
spaicial (2) - 9 freq
especialy (2) - 1 freq
especia (2) - 1 freq
raecial (2) - 1 freq
spécial (2) - 2 freq
peecial (2) - 1 freq
€˜special (2) - 2 freq
speshial (2) - 1 freq
spectral (2) - 3 freq
social (2) - 320 freq
specially (2) - 29 freq
serial (2) - 3 freq
penal (3) - 5 freq
imperial (3) - 21 freq
suicidal (3) - 3 freq
special (0) - 226 freq
especial (1) - 6 freq
speecial (1) - 26 freq
speicial (1) - 1 freq
spaicial (2) - 9 freq
'special (2) - 4 freq
especialy (2) - 1 freq
specials (2) - 4 freq
peecial (3) - 1 freq
specially (3) - 29 freq
espaicial (3) - 2 freq
social (3) - 320 freq
especia (3) - 1 freq
speil (3) - 17 freq
species (3) - 47 freq
speal (3) - 1 freq
stecl (4) - 1 freq
spail (4) - 2 freq
especially (4) - 215 freq
spaicialie (4) - 1 freq
spacin (4) - 1 freq
specs (4) - 28 freq
spell (4) - 158 freq
speck (4) - 12 freq
spiral (4) - 10 freq
SoundEx code - S124
sheepishly - 4 freq
special - 226 freq
speecial - 26 freq
specially - 29 freq
specklet - 1 freq
spaekalation - 1 freq
spy-club - 1 freq
specialist - 11 freq
speikless - 1 freq
speckelt - 1 freq
speckled - 3 freq
specklit - 1 freq
speeshul - 1 freq
speeshalise - 1 freq
speshial - 1 freq
speechless - 5 freq
speculators - 3 freq
speculator - 1 freq
specialities - 2 freq
specials - 4 freq
spaicial - 9 freq
'special - 4 freq
sepia-coloured - 1 freq
special-forces - 1 freq
spookily - 1 freq
speculate - 6 freq
speecially - 5 freq
speciality - 1 freq
speckles - 1 freq
speculative - 3 freq
speshil - 1 freq
specialisation - 1 freq
speculated - 1 freq
speculations - 1 freq
schiffslaterne - 1 freq
spaicialisms - 1 freq
speshul - 1 freq
'spaicial-matthaen' - 1 freq
speecialise - 1 freq
speshully - 1 freq
speeshal - 1 freq
specialising - 1 freq
specialised - 2 freq
spyglass - 1 freq
speicial - 1 freq
speculation - 5 freq
spaicialist - 1 freq
speculatit - 1 freq
specialists - 1 freq
spécial - 2 freq
specialises - 1 freq
€˜special - 2 freq
spaicialie - 1 freq
speculating - 1 freq
€˜speshly - 1 freq
spyglesses - 2 freq
speckult - 1 freq
“specials” - 2 freq
specialteam - 1 freq
speshally - 1 freq
spzl - 1 freq
MetaPhone code - SPXL
special - 226 freq
speecial - 26 freq
specially - 29 freq
speeshul - 1 freq
speshial - 1 freq
spaicial - 9 freq
'special - 4 freq
speecially - 5 freq
speshil - 1 freq
speshul - 1 freq
speshully - 1 freq
speeshal - 1 freq
speicial - 1 freq
spécial - 2 freq
€˜special - 2 freq
spaicialie - 1 freq
€˜speshly - 1 freq
speshally - 1 freq
SPECIAL
Time to execute Levenshtein function - 0.303116 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 - 0.370055 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 - 0.027208 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 - 0.037262 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 - 0.000828 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.