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 ahint

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

Similar words to sassenachexile in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
sassenachexile (0) - 1 freq
sassenach (5) - 9 freq
sassenachs (5) - 3 freq
shenachie (6) - 3 freq
sassanach (6) - 1 freq
washinmachine (7) - 1 freq
camschachelt (7) - 1 freq
benachie (7) - 2 freq
passendale (7) - 2 freq
'treacherie (7) - 1 freq
kanachrine (7) - 1 freq
asteraceae (7) - 1 freq
camshachelt (7) - 1 freq
tasminasheikh (7) - 1 freq
smacherie (7) - 1 freq
ireacherie (7) - 1 freq
sassenger (7) - 1 freq
shenachies (7) - 1 freq
treacherie (7) - 4 freq
sasannach (7) - 1 freq
angelachick (8) - 2 freq
barramacneil (8) - 1 freq
steenhive (8) - 4 freq
steenhenge (8) - 1 freq
speachify (8) - 1 freq
sassenachexile (0) - 1 freq
sassenachs (7) - 3 freq
sassenach (7) - 9 freq
sassanach (8) - 1 freq
sasannach (10) - 1 freq
shenachie (10) - 3 freq
passendale (11) - 2 freq
shenachies (11) - 1 freq
sassenger (11) - 1 freq
snauchle (11) - 1 freq
shachle (12) - 1 freq
snochrie (12) - 12 freq
essence (12) - 12 freq
passchendaele (12) - 2 freq
snocherin (12) - 7 freq
sprachle (12) - 5 freq
seanachaidh (12) - 2 freq
schedule (12) - 17 freq
stainchels (12) - 1 freq
passionately (12) - 2 freq
snicherin (12) - 1 freq
essentiallie (12) - 1 freq
'sennachie' (12) - 2 freq
assonance (12) - 1 freq
stenschol (12) - 1 freq
SoundEx code - S252
seekness - 11 freq
saisons - 19 freq
seikness - 7 freq
saesons - 2 freq
signs - 151 freq
sick-making - 1 freq
'sessions' - 1 freq
soughing - 1 freq
sooking - 3 freq
signage - 28 freq
souchins - 1 freq
sequence - 7 freq
succinct - 1 freq
seasons - 39 freq
seasons-daily - 1 freq
sic-an-sic - 2 freq
saxons - 8 freq
shaking - 8 freq
sessions - 24 freq
season's - 1 freq
seeking - 6 freq
sousnside - 1 freq
sickens - 2 freq
sic-an-sae - 2 freq
schisms - 1 freq
succinctly - 2 freq
sickness - 8 freq
secong - 1 freq
sassenachs - 3 freq
saxones - 1 freq
siesang - 1 freq
sie-sangs - 1 freq
sassenger - 1 freq
'sickness - 1 freq
swishing - 1 freq
souchong - 1 freq
sassenach - 9 freq
sauch-wanns - 1 freq
sea-sang - 1 freq
squaiking - 1 freq
seggans - 3 freq
swackness - 1 freq
saison's - 1 freq
six-guns - 1 freq
sessiouns - 3 freq
sizins-up - 1 freq
shocking - 13 freq
sizzens - 8 freq
sookins - 1 freq
sassanach - 1 freq
squeezing - 4 freq
seeknesses - 2 freq
shockingly - 1 freq
such-an-such - 1 freq
sicknesses - 1 freq
signages - 2 freq
sucking - 5 freq
sequins - 2 freq
sasannach - 1 freq
squawking - 2 freq
sacking - 2 freq
suzjamieson - 4 freq
susanshox - 1 freq
shugmcmillan - 18 freq
seiknesses - 1 freq
susancalman - 3 freq
shawshank - 1 freq
sazmqn - 1 freq
susannecc - 1 freq
sxeznmocby - 1 freq
siskins - 2 freq
skewsmug - 3 freq
sassenachexile - 1 freq
MetaPhone code - SSNXKSL
sassenachexile - 1 freq
SASSENACHEXILE
Time to execute Levenshtein function - 0.345625 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 - 0.640227 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 - 0.027941 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 - 0.038068 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 - 0.000892 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.