A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to hrvmam in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hrvmam (0) - 1 freq
prima (3) - 7 freq
fram (3) - 1 freq
ream (3) - 4 freq
gram (3) - 10 freq
kucmam (3) - 1 freq
hodman (3) - 1 freq
fremm (3) - 5 freq
rva (3) - 1 freq
hevna (3) - 8 freq
graham (3) - 38 freq
tram (3) - 23 freq
huvna (3) - 1 freq
truman (3) - 2 freq
ormal (3) - 1 freq
hoam (3) - 4 freq
cream (3) - 139 freq
haslam (3) - 1 freq
prma (3) - 1 freq
hivvan (3) - 10 freq
cram (3) - 2 freq
huvnae (3) - 61 freq
hivna (3) - 48 freq
hima (3) - 4 freq
rzmpm (3) - 1 freq
hrvmam (0) - 1 freq
hvamm (4) - 1 freq
harman (5) - 1 freq
haimm (5) - 1 freq
hrv (5) - 1 freq
hamm (5) - 1 freq
grimm (5) - 4 freq
rimm (5) - 2 freq
trvm (5) - 1 freq
hmmm (5) - 7 freq
hemm (5) - 12 freq
rummm (5) - 1 freq
hlmm (5) - 1 freq
hmmmm (5) - 4 freq
fremm (5) - 5 freq
herman (5) - 1 freq
hmm (5) - 22 freq
nvmm (5) - 1 freq
himm (5) - 1 freq
premium (6) - 2 freq
bream (6) - 2 freq
hardmen (6) - 2 freq
cromar (6) - 1 freq
harvey (6) - 5 freq
aromas (6) - 1 freq
SoundEx code - H615
horfinn - 1 freq
hairpins - 1 freq
harbinger - 2 freq
harpoon - 8 freq
harpooner - 5 freq
harpoons - 3 freq
harbingers - 2 freq
hairpin - 3 freq
harpooned - 1 freq
hairband - 1 freq
hrvmam - 1 freq
MetaPhone code - RFMM
hrvmam - 1 freq
HRVMAM
Time to execute Levenshtein function - 0.231430 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 - 0.368089 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 - 0.030550 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 - 0.039519 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 - 0.000850 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.