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 hunter in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hunter (0) - 48 freq
hunder (1) - 96 freq
hunted (1) - 11 freq
aunter (1) - 2 freq
wunter (1) - 28 freq
munter (1) - 1 freq
hunker (1) - 12 freq
mhunter (1) - 4 freq
hunger (1) - 50 freq
hunters (1) - 16 freq
hunner (1) - 442 freq
unter (1) - 1 freq
bunter (1) - 8 freq
chunter (1) - 1 freq
punter (1) - 15 freq
dunter (1) - 2 freq
punters (2) - 25 freq
butter (2) - 134 freq
hatter (2) - 279 freq
dunters (2) - 6 freq
haeter (2) - 2 freq
unther (2) - 9 freq
hubber (2) - 1 freq
bunder (2) - 1 freq
muster (2) - 7 freq
hunter (0) - 48 freq
hunner (2) - 442 freq
hunters (2) - 16 freq
unter (2) - 1 freq
punter (2) - 15 freq
dunter (2) - 2 freq
hunger (2) - 50 freq
chunter (2) - 1 freq
bunter (2) - 8 freq
hunted (2) - 11 freq
mhunter (2) - 4 freq
hunder (2) - 96 freq
wunter (2) - 28 freq
aunter (2) - 2 freq
munter (2) - 1 freq
hunker (2) - 12 freq
heeter (3) - 9 freq
hanted (3) - 2 freq
huntly (3) - 29 freq
hater (3) - 2 freq
menter (3) - 1 freq
enter (3) - 74 freq
hunt (3) - 62 freq
hundyr (3) - 1 freq
hender (3) - 1 freq
SoundEx code - H536
handrail - 1 freq
hunter's - 10 freq
hendry - 6 freq
henderson's - 8 freq
hundred - 30 freq
hunder - 96 freq
hunderd - 1 freq
handiwork - 4 freq
hunders - 25 freq
hum-drum-like - 1 freq
hunters - 16 freq
haundiwark - 1 freq
hinder - 20 freq
'hundred - 1 freq
hunter - 48 freq
humdrum - 3 freq
hindrance - 5 freq
hender - 1 freq
hendrix - 3 freq
handwriting - 2 freq
handwritin - 2 freq
henderson - 48 freq
hindwird - 1 freq
hinderenn - 1 freq
hinther - 1 freq
honther - 1 freq
hundreds - 10 freq
haundiwork - 1 freq
hand-rearit - 1 freq
hinterlands - 1 freq
hunterston - 2 freq
han-dred - 1 freq
hendry's - 2 freq
hundyr - 1 freq
haandwritin - 1 freq
hindered - 3 freq
hame-trowe - 1 freq
haundiwirk - 1 freq
haundwritin - 1 freq
haundrail - 1 freq
haundywurk - 1 freq
handwritan - 1 freq
hunter-gadderers - 2 freq
hundert - 7 freq
hame-drachtit - 1 freq
hendrie - 1 freq
hindersome - 1 freq
haund-wrutten - 1 freq
hundreth - 3 freq
hinderance - 1 freq
hundredth - 2 freq
henderson'll - 1 freq
haund-wrocht - 1 freq
haunders - 1 freq
hamtramck - 1 freq
hame-trow - 3 freq
hinderly - 1 freq
hunter-gaitherin - 1 freq
hindermaist - 2 freq
hinders - 2 freq
hunnder - 1 freq
hundret - 2 freq
haundower - 1 freq
hinderend - 1 freq
huntherwechts - 1 freq
handiwark - 2 freq
hender-them-na - 1 freq
handrails - 1 freq
haund-drawn - 1 freq
handwritings - 1 freq
handier - 1 freq
handers - 1 freq
‘hendersons’ - 1 freq
‘henderson’ - 1 freq
hame-drauchtit - 1 freq
hunderts - 1 freq
hendron - 2 freq
hunterfieldv - 5 freq
MetaPhone code - HNTR
hendry - 6 freq
hunder - 96 freq
hinder - 20 freq
hunter - 48 freq
hender - 1 freq
hundyr - 1 freq
hendrie - 1 freq
hunnder - 1 freq
handier - 1 freq
HUNTER
Time to execute Levenshtein function - 0.373196 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 - 0.743421 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 - 0.081765 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 - 0.090774 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 - 0.000943 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.