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 hmdt in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hmdt (0) - 1 freq
hmt (1) - 1 freq
hant (2) - 6 freq
hmph (2) - 1 freq
pdt (2) - 1 freq
smdit (2) - 1 freq
emit (2) - 4 freq
hett (2) - 35 freq
hdq (2) - 1 freq
mit (2) - 3 freq
hit (2) - 1222 freq
hmi (2) - 2 freq
fmd (2) - 1 freq
hid' (2) - 1 freq
himst (2) - 3 freq
hilt (2) - 2 freq
hud (2) - 1280 freq
hd (2) - 4 freq
md (2) - 10 freq
hidit (2) - 1 freq
hem't (2) - 1 freq
bmd (2) - 1 freq
hads (2) - 2 freq
hatt (2) - 1 freq
smit (2) - 16 freq
hmdt (0) - 1 freq
hmt (2) - 1 freq
hidit (3) - 1 freq
himst (3) - 3 freq
hempt (3) - 1 freq
mudt (3) - 1 freq
hem't (3) - 1 freq
hudty (3) - 1 freq
smdit (3) - 1 freq
hmv (4) - 2 freq
ht (4) - 8 freq
mdj (4) - 1 freq
hrt (4) - 1 freq
hadd (4) - 70 freq
hast (4) - 2 freq
hm (4) - 12 freq
hidn (4) - 1 freq
pmt (4) - 3 freq
het (4) - 260 freq
hot (4) - 203 freq
hat (4) - 176 freq
xmd (4) - 1 freq
hade (4) - 1 freq
pmd (4) - 1 freq
hyd (4) - 7 freq
SoundEx code - H530
haund - 384 freq
hummed - 10 freq
handy - 55 freq
haundie - 1 freq
haunt - 28 freq
hin't - 1 freq
haunit - 2 freq
hint - 77 freq
hoond - 2 freq
hand - 319 freq
hant - 6 freq
hunt - 62 freq
honed - 5 freq
him-it - 1 freq
hent - 6 freq
haundy - 18 freq
hannit - 20 freq
hantie - 4 freq
hamewith - 9 freq
hained - 27 freq
honey-dew - 1 freq
haunmaid - 1 freq
handee - 4 freq
handie - 3 freq
hind - 14 freq
haun't - 4 freq
hemmed - 3 freq
'haund - 3 freq
hem't - 1 freq
hannet - 2 freq
hummit - 1 freq
haand - 104 freq
hindu - 8 freq
him-hit - 1 freq
honeyed - 1 freq
hunda - 1 freq
haun-med - 1 freq
hainit - 6 freq
him-id - 1 freq
houmit - 1 freq
hunde - 1 freq
hinnied - 1 freq
hamada - 1 freq
haint - 3 freq
haunnit - 2 freq
hende - 1 freq
heymouthe - 1 freq
hynd - 1 freq
€œhunty - 1 freq
hound - 11 freq
€œhand - 1 freq
hnd - 3 freq
hindi - 2 freq
hond - 3 freq
henwudie - 1 freq
henwuddie - 3 freq
haun-made - 1 freq
hammett - 1 freq
heymooth - 1 freq
huntie - 1 freq
heynd - 1 freq
hmt - 1 freq
‘hand - 1 freq
hnuty - 1 freq
hmdt - 1 freq
honeat - 1 freq
hund - 1 freq
hnid - 1 freq
hunt' - 1 freq
handw - 1 freq
MetaPhone code - MTT
muted - 8 freq
mid-day - 3 freq
'moo'-did - 1 freq
maetit - 1 freq
maitit - 1 freq
maitied - 1 freq
meeded - 1 freq
mad-at - 3 freq
matthat - 4 freq
matatt - 2 freq
mattit - 3 freq
matted - 2 freq
meted - 2 freq
metad - 1 freq
moutit - 1 freq
moutae-tae- - 1 freq
mootit - 1 freq
matty'd - 1 freq
mediat - 1 freq
mited - 1 freq
motet - 3 freq
mutit - 1 freq
hmdt - 1 freq
mudt - 1 freq
motd - 1 freq
HMDT
Time to execute Levenshtein function - 0.458505 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 - 0.570669 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 - 0.037156 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 - 0.044994 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 - 0.001007 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.