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 sonsie

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

Similar words to charlie in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
charlie (0) - 88 freq
harlie (1) - 6 freq
'charlie (1) - 2 freq
carlie (1) - 2 freq
chailie (1) - 1 freq
sharlie (1) - 1 freq
charle (1) - 1 freq
chairlie (1) - 273 freq
chaurlie (1) - 1 freq
cherlie (1) - 133 freq
charlie's (2) - 9 freq
chairlies (2) - 1 freq
coalie (2) - 1 freq
charley (2) - 1 freq
charitie (2) - 2 freq
carline (2) - 33 freq
carle (2) - 8 freq
haulie (2) - 1 freq
clairlie (2) - 4 freq
chargin (2) - 9 freq
parlie (2) - 7 freq
charlen (2) - 1 freq
whirlie (2) - 2 freq
chackie (2) - 2 freq
chablis (2) - 1 freq
charlie (0) - 88 freq
chairlie (1) - 273 freq
chaurlie (1) - 1 freq
cherlie (1) - 133 freq
charle (1) - 1 freq
charley (2) - 1 freq
sharlie (2) - 1 freq
harlie (2) - 6 freq
'charlie (2) - 2 freq
chailie (2) - 1 freq
carlie (2) - 2 freq
hurlie (3) - 1 freq
cherrie (3) - 3 freq
cherie (3) - 2 freq
charade (3) - 2 freq
chaiplie (3) - 1 freq
churl (3) - 1 freq
cherlie' (3) - 1 freq
shairlie (3) - 7 freq
haurlie (3) - 4 freq
claerlie (3) - 3 freq
chimlie (3) - 1 freq
chirlin (3) - 1 freq
chairiie (3) - 1 freq
charlene (3) - 519 freq
SoundEx code - C640
carroll - 6 freq
cruel - 87 freq
curly - 51 freq
croul - 1 freq
carle - 8 freq
crail - 6 freq
creel - 37 freq
crawl - 27 freq
carole - 3 freq
carlie - 2 freq
carol - 62 freq
cherlie - 133 freq
chairlie - 273 freq
cirele - 2 freq
'cruel - 1 freq
carl - 13 freq
cheerily - 5 freq
cruelly - 7 freq
carlo - 16 freq
curl - 11 freq
coral - 5 freq
corral - 2 freq
charlie - 88 freq
cyril - 11 freq
choral - 2 freq
cry'll - 1 freq
churl - 1 freq
craal - 5 freq
charley - 1 freq
'chairlie - 5 freq
'charlie - 2 freq
cereal - 15 freq
carál - 1 freq
chairlie' - 1 freq
creill - 1 freq
crew'll - 1 freq
cheerly - 1 freq
charle - 1 freq
charhle - 1 freq
creole - 1 freq
chaurlie - 1 freq
'cherlie' - 1 freq
crowle - 2 freq
cherlie' - 1 freq
€œcoral - 1 freq
curlew - 3 freq
carlaw - 12 freq
crawlie - 2 freq
chorale - 1 freq
corelli - 2 freq
crowl - 1 freq
€œcharlie - 1 freq
cral - 1 freq
carolle - 2 freq
crolla - 1 freq
carla - 5 freq
cheryl - 1 freq
caroll - 2 freq
MetaPhone code - XRL
shairly - 107 freq
shrill - 20 freq
'shairly - 1 freq
cherlie - 133 freq
shuirly - 33 freq
chairlie - 273 freq
shuirlie - 38 freq
cheerily - 5 freq
shirley - 9 freq
charlie - 88 freq
choral - 2 freq
shurely - 3 freq
churl - 1 freq
'sharley' - 1 freq
charley - 1 freq
shairlie - 7 freq
'chairlie - 5 freq
'charlie - 2 freq
shurley - 6 freq
shurly - 16 freq
chairlie' - 1 freq
shürly - 1 freq
cheerly - 1 freq
charle - 1 freq
charhle - 1 freq
chaurlie - 1 freq
'cherlie' - 1 freq
cherlie' - 1 freq
shrilly - 1 freq
sharlie - 1 freq
chorale - 1 freq
€˜shuirly - 1 freq
€œcharlie - 1 freq
sheurlee - 1 freq
cheryl - 1 freq
CHARLIE
Time to execute Levenshtein function - 0.213713 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 - 0.353055 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 - 0.027113 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 - 0.037363 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 - 0.000847 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.