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 hatet in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hatet (0) - 9 freq
haet (1) - 66 freq
hateit (1) - 1 freq
hates (1) - 35 freq
hate (1) - 188 freq
hated (1) - 48 freq
haytet (1) - 1 freq
hater (1) - 2 freq
haltet (1) - 1 freq
hatit (1) - 15 freq
hatt (1) - 1 freq
hateth (1) - 1 freq
wantet (2) - 82 freq
'hates (2) - 1 freq
fartet (2) - 2 freq
pattet (2) - 2 freq
janet (2) - 75 freq
hae' (2) - 4 freq
late (2) - 491 freq
hart (2) - 28 freq
heet (2) - 2 freq
rates (2) - 18 freq
itet (2) - 1 freq
hae't (2) - 8 freq
abet (2) - 1 freq
hatet (0) - 9 freq
haytet (1) - 1 freq
hatit (1) - 15 freq
hatt (1) - 1 freq
hateit (1) - 1 freq
hett (2) - 35 freq
haitit (2) - 1 freq
haetit (2) - 1 freq
heatit (2) - 2 freq
htt (2) - 1 freq
hautit (2) - 2 freq
heetet (2) - 1 freq
hateth (2) - 1 freq
hate (2) - 188 freq
hates (2) - 35 freq
haet (2) - 66 freq
hated (2) - 48 freq
hater (2) - 2 freq
haltet (2) - 1 freq
hatefu (3) - 5 freq
latt (3) - 3 freq
haute (3) - 1 freq
hotel (3) - 91 freq
harte (3) - 1 freq
hant (3) - 6 freq
SoundEx code - H330
heided - 35 freq
hated - 48 freq
heid-at - 1 freq
howdied - 2 freq
haudit - 42 freq
heidit - 60 freq
hautit - 2 freq
heedit - 6 freq
hideout - 1 freq
heated - 9 freq
heid-tae-heid - 1 freq
hauded - 2 freq
hootit - 2 freq
headed - 38 freq
heidded - 1 freq
heatit - 2 freq
heitath - 1 freq
hatit - 15 freq
haeted - 1 freq
haytet - 1 freq
heedid - 1 freq
heeded - 14 freq
heetet - 1 freq
hatet - 9 freq
hoodit - 1 freq
headit - 19 freq
heidet - 1 freq
haitit - 1 freq
hoidit - 3 freq
hauddit - 18 freq
hettit - 1 freq
hottit - 1 freq
heddit - 1 freq
hatted - 1 freq
hie-heidit - 1 freq
hidit - 1 freq
hudded - 1 freq
hiddit - 2 freq
haetit - 1 freq
hateth - 1 freq
hooded - 1 freq
hoddit - 1 freq
haddit - 1 freq
hutted - 1 freq
hateit - 1 freq
haddath - 25 freq
MetaPhone code - HTT
heided - 35 freq
heid'd - 2 freq
hated - 48 freq
heid-at - 1 freq
hidtae - 4 freq
howdied - 2 freq
haudit - 42 freq
heidit - 60 freq
hautit - 2 freq
heedit - 6 freq
hideout - 1 freq
heated - 9 freq
hauded - 2 freq
hootit - 2 freq
headed - 38 freq
heidded - 1 freq
heatit - 2 freq
hatit - 15 freq
haeted - 1 freq
haitd - 1 freq
haytet - 1 freq
heedid - 1 freq
heeded - 14 freq
heetet - 1 freq
hatet - 9 freq
hoodit - 1 freq
headit - 19 freq
heidet - 1 freq
haitit - 1 freq
hoidit - 3 freq
heedtae - 1 freq
hauddit - 18 freq
hettit - 1 freq
hottit - 1 freq
heddit - 1 freq
hatted - 1 freq
hidit - 1 freq
hudded - 1 freq
hiddit - 2 freq
haetit - 1 freq
hooded - 1 freq
hoddit - 1 freq
haddit - 1 freq
hutted - 1 freq
hateit - 1 freq
hudty - 1 freq
hudtae - 1 freq
HATET
Time to execute Levenshtein function - 0.236688 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 - 0.576242 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 - 0.027711 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 - 0.037270 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 - 0.000820 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.