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 hyvast in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hyvast (0) - 6 freq
hast (2) - 2 freq
avast (2) - 3 freq
yeast (2) - 11 freq
hyst (2) - 5 freq
vast (2) - 36 freq
hoast (2) - 42 freq
tyrant (3) - 7 freq
hatt (3) - 1 freq
hiv't (3) - 1 freq
biwast (3) - 1 freq
'yas (3) - 1 freq
havent (3) - 3 freq
yest (3) - 2 freq
loast (3) - 142 freq
herbst (3) - 2 freq
howest (3) - 1 freq
yas (3) - 28 freq
myst (3) - 1 freq
hervist (3) - 1 freq
hysk (3) - 1 freq
hysts (3) - 1 freq
hovesj (3) - 1 freq
yasp (3) - 1 freq
høst (3) - 3 freq
hyvast (0) - 6 freq
hoast (3) - 42 freq
hyst (3) - 5 freq
vast (3) - 36 freq
avast (3) - 3 freq
hast (3) - 2 freq
hyste (4) - 9 freq
haist (4) - 5 freq
havert (4) - 1 freq
haarst (4) - 1 freq
hervest (4) - 10 freq
hoist (4) - 5 freq
hasty (4) - 6 freq
honist (4) - 1 freq
himst (4) - 3 freq
hugest (4) - 1 freq
hives (4) - 2 freq
huirst (4) - 1 freq
hosst (4) - 1 freq
herst (4) - 6 freq
hst (4) - 1 freq
vst (4) - 1 freq
vest (4) - 14 freq
heest (4) - 1 freq
harvest (4) - 16 freq
SoundEx code - H123
hauf-biggit - 2 freq
hauf-shut - 2 freq
hauf-past - 7 freq
heavy-set - 1 freq
hauf-steikit - 2 freq
happiest - 10 freq
haufbiggit - 1 freq
hipster - 3 freq
hauf-chaaed - 1 freq
heavy-weight - 1 freq
heavy-shoodered - 1 freq
hivviest - 1 freq
hobbyists - 1 freq
haafgaits - 1 freq
hauf-stirred - 1 freq
heaviest - 2 freq
hopscotch - 3 freq
hauf-gates - 1 freq
hephaestus - 2 freq
hauf-baked - 1 freq
heavyweicht - 1 freq
hyvast - 6 freq
hevagidday - 1 freq
heeposhit - 1 freq
havester - 1 freq
hbctyy - 1 freq
hbkxcdgvss - 1 freq
hubster - 1 freq
hfqwd - 1 freq
heavyweight - 1 freq
hipsters - 1 freq
hbjgtize - 1 freq
MetaPhone code - FST
ghaist - 60 freq
fast - 314 freq
veisit - 25 freq
fussed - 13 freq
foostie - 15 freq
foost - 5 freq
fest - 54 freq
vizzied - 26 freq
fist - 56 freq
feast - 54 freq
veesit - 93 freq
ghost - 73 freq
visit - 147 freq
faced - 69 freq
ghostey - 1 freq
foozat - 1 freq
facet - 1 freq
faist - 29 freq
vast - 36 freq
'visit - 1 freq
feastie - 1 freq
fiesta - 3 freq
vest - 14 freq
fesst - 1 freq
ficet - 2 freq
fcit - 1 freq
foosty - 16 freq
ghostie - 1 freq
fazed - 2 freq
festie - 11 freq
fused - 6 freq
ghousty - 1 freq
voiced - 16 freq
feezed - 1 freq
ghost' - 1 freq
vïsit - 4 freq
fooste - 1 freq
fousty - 3 freq
fusst - 1 freq
fast' - 1 freq
foust - 1 freq
fessit - 2 freq
faast - 4 freq
ghawst - 2 freq
vista - 3 freq
vyced - 3 freq
fosti - 1 freq
voustie - 1 freq
fausette - 1 freq
vesta - 2 freq
faized - 1 freq
vissied - 2 freq
fessed - 5 freq
fizzed - 1 freq
faste - 1 freq
ghaistie - 1 freq
€˜ghost - 1 freq
€”faced - 1 freq
facedd - 1 freq
feisty - 1 freq
phased - 1 freq
hyvast - 6 freq
vsd - 1 freq
ghosty - 1 freq
vst - 1 freq
faside - 1 freq
HYVAST
Time to execute Levenshtein function - 0.278030 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 - 0.391848 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 - 0.040234 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 - 0.043484 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 - 0.000915 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.