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 steenhaven in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
steenhaven (0) - 1 freq
steenhive (2) - 4 freq
steenmason (3) - 1 freq
stonehaven (3) - 11 freq
strathaven (3) - 10 freq
strenthen (4) - 9 freq
sheenan (4) - 1 freq
stephen (4) - 37 freq
steemen (4) - 4 freq
steenhenge (4) - 1 freq
steven (4) - 41 freq
stanhive (4) - 1 freq
strechten (4) - 1 freq
burnhaven (4) - 1 freq
streechen (4) - 1 freq
shaven (4) - 2 freq
tax-haven (4) - 1 freq
sweengan (4) - 2 freq
seethan (4) - 1 freq
steereen (4) - 2 freq
teename (4) - 1 freq
screensaver (4) - 3 freq
teenager (4) - 20 freq
sweechan (4) - 3 freq
stevven (4) - 2 freq
steenhaven (0) - 1 freq
stonehaven (3) - 11 freq
steenhive (3) - 4 freq
stanhive (5) - 1 freq
strathaven (5) - 10 freq
steenmason (5) - 1 freq
shaven (6) - 2 freq
seethan (6) - 1 freq
stanehive (6) - 4 freq
burnhaven (6) - 1 freq
stephane (6) - 1 freq
beethoven (6) - 1 freq
stevven (6) - 2 freq
steenhenge (6) - 1 freq
steven (6) - 41 freq
stephen (6) - 37 freq
sthaain (7) - 1 freq
stievin (7) - 1 freq
stunden (7) - 1 freq
stervan (7) - 1 freq
stra'ven (7) - 1 freq
stephanie (7) - 7 freq
stehin (7) - 1 freq
stinnen (7) - 1 freq
stevin (7) - 2 freq
SoundEx code - S351
stump - 19 freq
stumpin - 4 freq
stampin - 17 freq
stampit - 12 freq
stampt - 4 freq
stumps - 9 freq
stumble - 8 freq
stumblin - 9 freq
stumbles - 3 freq
stampede - 2 freq
staunpint - 1 freq
stampedin - 1 freq
stanefauld - 2 freq
stamp - 17 freq
stumpy - 4 freq
stumblit - 1 freq
stumpit - 2 freq
stomped - 2 freq
steamboat - 1 freq
stumbled - 10 freq
schottenburg - 3 freq
stamps - 14 freq
steinbeck - 3 freq
schadenfreude - 3 freq
stompin - 4 freq
sweet-tempert - 1 freq
stamped - 11 freq
steen-faced - 1 freq
stumbling - 1 freq
stumped - 3 freq
steenhaven - 1 freq
stomps - 1 freq
stomp - 5 freq
stimp - 1 freq
stumpie - 1 freq
'stonie-picko' - 1 freq
stumbas - 2 freq
stampan - 2 freq
sweettempered - 1 freq
stymphalian - 4 freq
stymphalus - 2 freq
sittinback - 1 freq
stanpipe - 2 freq
staun-aff - 2 freq
steenhive - 4 freq
stanby - 1 freq
stumpt - 1 freq
staump-airn - 1 freq
scot-noble - 1 freq
scott-noble - 1 freq
stumpies - 1 freq
stumblet - 1 freq
€˜schadenfreude - 1 freq
stonehaven - 11 freq
stumpet - 1 freq
scotambservice - 1 freq
stonehavengc - 1 freq
stonefish - 24 freq
shitmabreeks - 1 freq
sodinbf - 1 freq
swedenvsengland - 2 freq
stanhive - 1 freq
stanehive - 4 freq
sidnfnm - 1 freq
stmvru - 1 freq
‘stump’ - 1 freq
scotamfa - 19 freq
southampton - 1 freq
MetaPhone code - STNHFN
steenhaven - 1 freq
stonehaven - 11 freq
STEENHAVEN
Time to execute Levenshtein function - 0.210153 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 - 0.368446 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 - 0.027790 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 - 0.037123 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 - 0.000796 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.