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 tramps in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tramps (0) - 7 freq
cramps (1) - 3 freq
ramps (1) - 2 freq
tramp (1) - 27 freq
traeps (1) - 1 freq
trams (1) - 6 freq
tramp' (1) - 1 freq
traps (1) - 12 freq
tramp's (1) - 1 freq
stramps (1) - 1 freq
trampt (1) - 2 freq
trumps (1) - 8 freq
traumas (2) - 2 freq
tram (2) - 23 freq
temps (2) - 1 freq
ramp (2) - 13 freq
trays (2) - 12 freq
stramp (2) - 11 freq
grampus (2) - 1 freq
thrampt (2) - 2 freq
trump's (2) - 5 freq
graips (2) - 3 freq
grampa (2) - 8 freq
ramos (2) - 2 freq
stamps (2) - 14 freq
tramps (0) - 7 freq
trumps (1) - 8 freq
traps (2) - 12 freq
tramp's (2) - 1 freq
stramps (2) - 1 freq
tramp' (2) - 1 freq
trampt (2) - 2 freq
cramps (2) - 3 freq
trams (2) - 6 freq
ramps (2) - 2 freq
tramp (2) - 27 freq
traeps (2) - 1 freq
trampit (3) - 6 freq
trums (3) - 1 freq
trampan (3) - 1 freq
traipse (3) - 7 freq
truips (3) - 5 freq
trampin (3) - 15 freq
tramped (3) - 11 freq
troops (3) - 67 freq
strumps (3) - 1 freq
trims (3) - 6 freq
trampid (3) - 1 freq
temps (3) - 1 freq
thumps (3) - 5 freq
SoundEx code - T651
triumph - 17 freq
trump - 74 freq
trumped - 2 freq
trumpin - 5 freq
tremblin - 15 freq
tremblt - 1 freq
trampl't - 1 freq
triumphantly - 10 freq
tremble - 6 freq
trumpet - 25 freq
trembled - 9 freq
torn-faced - 4 freq
tramp' - 1 freq
tramps - 7 freq
tramplt - 1 freq
trampin - 15 freq
'trump - 1 freq
turnbull - 9 freq
triumphant - 10 freq
tremblay - 2 freq
trembles - 2 freq
tramp's - 1 freq
tramp - 27 freq
trampt - 2 freq
trampled - 10 freq
trampit - 6 freq
trample - 3 freq
triumphant-lik - 1 freq
trumpets - 4 freq
turnaboot - 1 freq
trembling - 4 freq
trramp-like - 1 freq
triumphs - 2 freq
trampoline - 3 freq
trumpat - 1 freq
turnips' - 1 freq
'trumped' - 1 freq
triumphalism - 1 freq
torn-puss - 1 freq
trumps - 8 freq
trumpties - 1 freq
turn-up - 1 freq
trampid - 1 freq
trampelt - 2 freq
turn-ups - 1 freq
thrampt - 2 freq
thramp - 2 freq
thrampin - 1 freq
turnips - 4 freq
trumpit - 5 freq
thairineftir - 1 freq
tramp-like - 1 freq
tramped - 11 freq
trumphand-lik - 1 freq
trampan - 1 freq
trumpeting - 1 freq
thrombotic - 1 freq
thrumfu - 1 freq
triumphed - 2 freq
turnpikes - 1 freq
toarn-faced - 1 freq
traimple - 1 freq
traimpled - 1 freq
trumpled - 1 freq
tramplin - 3 freq
tremblan - 6 freq
triumphant-like - 1 freq
turnip - 4 freq
trumple - 1 freq
turnabout - 1 freq
tirnpek - 1 freq
turnipheid - 1 freq
trump's - 5 freq
tremblingly - 1 freq
trampolinin - 1 freq
terramper - 1 freq
'turnip' - 1 freq
trump’s - 1 freq
trumpoline - 2 freq
torinofc - 2 freq
trampolines - 1 freq
tryinbtae - 1 freq
trumprally - 1 freq
thornybank - 1 freq
trumpet's - 1 freq
MetaPhone code - TRMPS
tramps - 7 freq
tramp's - 1 freq
trumps - 8 freq
trump's - 5 freq
trump’s - 1 freq
TRAMPS
Time to execute Levenshtein function - 0.184477 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 - 0.403915 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 - 0.029074 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 - 0.038772 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 - 0.000981 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.