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 ablow

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to mither-speik in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mither-speik (0) - 1 freq
mither-leid (3) - 1 freq
mither-side (4) - 1 freq
mither-son (4) - 1 freq
mitherheid (4) - 1 freq
mither-tung (5) - 1 freq
mitherie (5) - 1 freq
mither-inlaw (5) - 1 freq
mithers (5) - 80 freq
hert-seik (5) - 2 freq
mither-naked (5) - 1 freq
mitherless (5) - 7 freq
mither-goat (5) - 2 freq
ither-weys (5) - 1 freq
mither-gab (5) - 1 freq
itherweis (5) - 1 freq
mitherin (5) - 7 freq
mitherweel (5) - 1 freq
mither-inlaa (5) - 1 freq
mither-o-pearl (5) - 1 freq
mither's (5) - 138 freq
mithers' (5) - 1 freq
mother-rapin (5) - 1 freq
murder-speeds (6) - 1 freq
siller-reid (6) - 1 freq
mither-speik (0) - 1 freq
mither-son (6) - 1 freq
mither-leid (6) - 1 freq
mither-side (6) - 1 freq
mother-rapin (7) - 1 freq
mither-gab (8) - 1 freq
mither-goat (8) - 2 freq
mither-inlaa (8) - 1 freq
mither's (8) - 138 freq
mithers' (8) - 1 freq
mitherless (8) - 7 freq
mither-o-pearl (8) - 1 freq
mitherheid (8) - 1 freq
mither-inlaw (8) - 1 freq
mither-tung (8) - 1 freq
mither-naked (8) - 1 freq
mithers (8) - 80 freq
mither-inlaaw (9) - 1 freq
mothersday (9) - 3 freq
mother-fuckin (9) - 3 freq
mathers (9) - 2 freq
muthers (9) - 1 freq
mither-tongue (9) - 1 freq
mothers (9) - 9 freq
mithir's (9) - 6 freq
SoundEx code - M362
mattress - 18 freq
mither's - 138 freq
mothers - 9 freq
maitters - 115 freq
matters - 29 freq
mutters - 12 freq
mithers - 80 freq
mither-side - 1 freq
metres - 15 freq
mattresses - 6 freq
mithers-in-law - 1 freq
mothers-in-law - 1 freq
meteoric - 1 freq
mattrass - 5 freq
motor's - 3 freq
motors - 35 freq
maiters - 28 freq
maitter's - 3 freq
matures - 2 freq
motorists - 3 freq
'mithers - 1 freq
motthors - 2 freq
motthor-car - 2 freq
motirs - 2 freq
motrice - 1 freq
maitiers - 1 freq
metters - 8 freq
meters - 12 freq
mother's - 3 freq
mither-son - 1 freq
mettèrs - 1 freq
mither-goat - 2 freq
mither-gab - 1 freq
midders - 8 freq
motorised - 1 freq
maittèrs - 10 freq
matters' - 1 freq
maittèrs' - 1 freq
matrix - 1 freq
midder's - 1 freq
mottir-kaars - 1 freq
mithir's - 6 freq
mither-speik - 1 freq
mattirs - 1 freq
maitters-na - 1 freq
maetirs - 1 freq
metrical - 1 freq
motorist - 2 freq
mathrick - 1 freq
mithers' - 1 freq
mathers - 2 freq
metric - 3 freq
metrically - 1 freq
motor-coach - 1 freq
motòrs - 1 freq
moters - 1 freq
metrosplaining - 1 freq
mither’s - 5 freq
mdruc - 1 freq
mattrichardson - 50 freq
madtrust - 1 freq
mattreguson - 1 freq
madras - 1 freq
mothersday - 3 freq
motorcycle - 1 freq
'mothers - 1 freq
muthers - 1 freq
MetaPhone code - M0RSPK
mither-speik - 1 freq
MITHER-SPEIK
Time to execute Levenshtein function - 0.224591 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 - 0.388008 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 - 0.029548 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 - 0.037318 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 - 0.000947 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.