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 huls in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
huls (0) - 6 freq
hls (1) - 1 freq
hulu (1) - 1 freq
hulls (1) - 9 freq
puls (1) - 4 freq
hums (1) - 3 freq
hull (1) - 30 freq
hues (1) - 1 freq
buls (1) - 1 freq
huts (1) - 6 freq
hulks (1) - 4 freq
hugs (1) - 25 freq
hurls (1) - 4 freq
hus (1) - 456 freq
huils (1) - 5 freq
huds (1) - 6 freq
hult (1) - 1 freq
hulk (1) - 4 freq
hulm (1) - 2 freq
hols (1) - 6 freq
huns (1) - 10 freq
houls (1) - 10 freq
hurs (1) - 4 freq
hubs (1) - 3 freq
hauls (1) - 1 freq
huls (0) - 6 freq
huils (1) - 5 freq
hols (1) - 6 freq
houls (1) - 10 freq
hauls (1) - 1 freq
hls (1) - 1 freq
hul (2) - 6 freq
hubs (2) - 3 freq
huns (2) - 10 freq
hurs (2) - 4 freq
heels (2) - 75 freq
haels (2) - 1 freq
halse (2) - 1 freq
haals (2) - 9 freq
holes (2) - 71 freq
heles (2) - 1 freq
hools (2) - 2 freq
hails (2) - 6 freq
hales (2) - 1 freq
heals (2) - 5 freq
hues (2) - 1 freq
buls (2) - 1 freq
huts (2) - 6 freq
hulks (2) - 4 freq
hull (2) - 30 freq
SoundEx code - H420
hills - 242 freq
huils - 5 freq
heels - 75 freq
hulls - 9 freq
holes - 71 freq
hill's - 3 freq
hellish - 19 freq
hails - 6 freq
'hellish - 1 freq
hillock - 8 freq
hulks - 4 freq
hillocks - 3 freq
hallies - 1 freq
halls - 12 freq
hole's - 2 freq
howls - 15 freq
hallows - 2 freq
halse - 1 freq
hulk - 4 freq
heel's - 1 freq
hauls - 1 freq
heals - 5 freq
hollows - 5 freq
houls - 10 freq
hell's - 16 freq
hïlls - 4 freq
halies - 2 freq
hillies - 11 freq
hillies' - 5 freq
haals - 9 freq
helix - 7 freq
huls - 6 freq
haalage - 1 freq
hilligo - 1 freq
haelga - 2 freq
haalls - 1 freq
hols - 6 freq
haels - 1 freq
hallow's - 1 freq
huills - 1 freq
hools - 2 freq
'hallaig' - 1 freq
halo's - 1 freq
helios - 5 freq
helga - 1 freq
hailes - 3 freq
howells - 1 freq
heles - 1 freq
hail-hek - 1 freq
hallis - 1 freq
€˜hallos - 1 freq
helja - 1 freq
hells - 1 freq
hales - 1 freq
hollyoaks - 1 freq
hollies - 2 freq
hulgzhh - 1 freq
hailÂ’s - 1 freq
hls - 1 freq
hollyjo - 1 freq
MetaPhone code - HLS
hills - 242 freq
huils - 5 freq
heels - 75 freq
hulls - 9 freq
holes - 71 freq
hill's - 3 freq
hails - 6 freq
hallies - 1 freq
halls - 12 freq
hole's - 2 freq
howls - 15 freq
hallows - 2 freq
halse - 1 freq
heel's - 1 freq
hauls - 1 freq
heals - 5 freq
hollows - 5 freq
houls - 10 freq
hell's - 16 freq
halies - 2 freq
hillies - 11 freq
hillies' - 5 freq
haals - 9 freq
huls - 6 freq
haalls - 1 freq
hols - 6 freq
haels - 1 freq
hallow's - 1 freq
huills - 1 freq
hools - 2 freq
halo's - 1 freq
helios - 5 freq
hailes - 3 freq
heles - 1 freq
hallis - 1 freq
€˜hallos - 1 freq
hells - 1 freq
hales - 1 freq
hollies - 2 freq
hailÂ’s - 1 freq
HULS
Time to execute Levenshtein function - 0.172131 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 - 0.339818 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 - 0.028483 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 - 0.036460 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 - 0.000792 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.