A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to arrow in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
arrow (0) - 9 freq
farrow (1) - 2 freq
mrrow (1) - 1 freq
arrows (1) - 4 freq
marrow (1) - 32 freq
narrow (1) - 15 freq
arraw (1) - 1 freq
harrow (1) - 2 freq
yarrow (1) - 6 freq
arrr (2) - 2 freq
androw (2) - 1 freq
acroo (2) - 1 freq
furrow (2) - 12 freq
brow (2) - 10 freq
grow (2) - 151 freq
carrot (2) - 19 freq
sorrow (2) - 29 freq
marros (2) - 1 freq
narrows (2) - 3 freq
strow (2) - 1 freq
borrow (2) - 16 freq
armoy (2) - 1 freq
arry (2) - 1 freq
aknow (2) - 1 freq
sparrow (2) - 5 freq
arrow (0) - 9 freq
yarrow (1) - 6 freq
arraw (1) - 1 freq
arrows (2) - 4 freq
farrow (2) - 2 freq
harrow (2) - 2 freq
mrrow (2) - 1 freq
marrow (2) - 32 freq
narrow (2) - 15 freq
morrow (3) - 11 freq
arra (3) - 32 freq
arras (3) - 24 freq
burrow (3) - 7 freq
error (3) - 16 freq
arraws (3) - 1 freq
norrow (3) - 1 freq
drow (3) - 4 freq
array (3) - 16 freq
graow (3) - 2 freq
crow (3) - 10 freq
nerrow (3) - 1 freq
arrum (3) - 7 freq
row (3) - 104 freq
errol (3) - 2 freq
trow (3) - 132 freq
SoundEx code - A600
are - 5138 freq
air - 1001 freq
'are - 64 freq
ayr - 71 freq
aer - 67 freq
ar - 208 freq
arrae - 1 freq
area - 166 freq
'ar - 1 freq
arra - 32 freq
ari - 3 freq
aware - 61 freq
'aaaaaarrrraww - 1 freq
are' - 1 freq
awaar - 20 freq
awaur - 43 freq
aire - 61 freq
ar' - 1 freq
aura - 11 freq
array - 16 freq
awar - 4 freq
airy - 4 freq
ayar - 1 freq
arraw - 1 freq
a'where - 1 freq
a'whaur - 1 freq
awayr - 1 freq
aawhaur - 5 freq
arrow - 9 freq
arrr - 2 freq
aweir - 1 freq
area' - 1 freq
a'r - 2 freq
aur - 1 freq
ayre - 8 freq
'are' - 2 freq
auer - 1 freq
aurrie - 1 freq
aere - 1 freq
a'waar - 1 freq
airy' - 1 freq
'airy - 1 freq
aar - 5 freq
ayur - 1 freq
awery - 1 freq
'air - 1 freq
awhaur - 2 freq
air' - 1 freq
€œare - 22 freq
€œar - 5 freq
airie - 1 freq
awry - 1 freq
€˜air - 1 freq
awhare - 2 freq
are- - 1 freq
€˜are - 3 freq
€˜aire - 1 freq
€”are - 1 freq
aower - 1 freq
€™are - 1 freq
ahr - 1 freq
“are - 1 freq
ara - 1 freq
aero - 1 freq
aro - 1 freq
arry - 1 freq
MetaPhone code - AR
are - 5138 freq
air - 1001 freq
'are - 64 freq
ayr - 71 freq
ar - 208 freq
arrae - 1 freq
area - 166 freq
'ar - 1 freq
arra - 32 freq
ari - 3 freq
'aaaaaarrrraww - 1 freq
are' - 1 freq
aire - 61 freq
ar' - 1 freq
aura - 11 freq
array - 16 freq
airy - 4 freq
arraw - 1 freq
arrow - 9 freq
arrr - 2 freq
area' - 1 freq
a'r - 2 freq
aur - 1 freq
ayre - 8 freq
'are' - 2 freq
auer - 1 freq
aurrie - 1 freq
airy' - 1 freq
'airy - 1 freq
aar - 5 freq
'air - 1 freq
air' - 1 freq
€œare - 22 freq
€œar - 5 freq
airie - 1 freq
awry - 1 freq
€˜air - 1 freq
are- - 1 freq
€˜are - 3 freq
€˜aire - 1 freq
€”are - 1 freq
€™are - 1 freq
ahr - 1 freq
“are - 1 freq
ara - 1 freq
aro - 1 freq
arry - 1 freq
ARROW
Time to execute Levenshtein function - 0.275850 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 - 0.337908 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 - 0.027702 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 - 0.036949 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 - 0.000911 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.