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 anchors in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
anchors (0) - 1 freq
anchort (1) - 3 freq
anchor (1) - 28 freq
anyhoos (2) - 13 freq
banchory (2) - 6 freq
archers (2) - 1 freq
anchorin (2) - 1 freq
authors (2) - 16 freq
actors (2) - 31 freq
anchored (2) - 10 freq
schons (3) - 1 freq
sanchar (3) - 1 freq
authort (3) - 2 freq
incore (3) - 2 freq
actors' (3) - 1 freq
faictors (3) - 3 freq
chows (3) - 1 freq
acroas (3) - 4 freq
anthems (3) - 5 freq
faichers (3) - 1 freq
enchor't (3) - 1 freq
acos (3) - 2 freq
chork (3) - 1 freq
cors (3) - 1 freq
chocs (3) - 1 freq
anchors (0) - 1 freq
anchor (2) - 28 freq
anchort (2) - 3 freq
anchored (3) - 10 freq
anchorin (3) - 1 freq
archers (3) - 1 freq
anithers (4) - 5 freq
pinchers (4) - 2 freq
inchis (4) - 1 freq
machars (4) - 4 freq
anchorage (4) - 1 freq
aunchorit (4) - 1 freq
dunchers (4) - 1 freq
airchers (4) - 7 freq
nachos (4) - 1 freq
inchees (4) - 1 freq
chores (4) - 9 freq
anocher (4) - 1 freq
anchovies (4) - 3 freq
techers (4) - 1 freq
inches (4) - 98 freq
nichols (4) - 27 freq
chorus (4) - 69 freq
munchers (4) - 3 freq
taichers (4) - 2 freq
SoundEx code - A526
answer - 444 freq
answert - 158 freq
angry - 84 freq
angrily - 19 freq
answerin - 21 freq
ainswert - 1 freq
answers - 74 freq
answered - 116 freq
anchor - 28 freq
angert - 16 freq
angriest - 2 freq
anger - 73 freq
angert-like - 1 freq
aunswert - 1 freq
angrier - 6 freq
answerable - 2 freq
anchored - 10 freq
aunchorit - 1 freq
angered - 2 freq
awnswer - 2 freq
'answer - 2 freq
answer't - 18 freq
anachronistic - 2 freq
answeran - 1 freq
answer's - 3 freq
ang'r - 2 freq
ang'rie - 7 freq
ans'ers - 1 freq
anchort - 3 freq
anacreon - 1 freq
anggert - 1 freq
angirt-lik - 1 freq
awnser - 5 freq
annacker's - 2 freq
anocher - 1 freq
anchorin - 1 freq
angerow - 1 freq
ansuer - 1 freq
an-soor - 1 freq
anchors - 1 freq
ainger - 3 freq
angry' - 1 freq
aince-a-year - 1 freq
answer-na - 1 freq
angersome - 1 freq
answer''t - 1 freq
anchorage - 1 freq
aunser - 2 freq
answerit - 1 freq
answering - 4 freq
awnsert - 4 freq
awnsers - 1 freq
angirt - 3 freq
aunsert - 1 freq
anachronisms - 2 freq
anser - 5 freq
anchoring - 1 freq
aunswer - 2 freq
aunsir - 1 freq
ancrum - 1 freq
answer- - 1 freq
angeret - 1 freq
answeirt - 1 freq
angreen - 1 freq
answeir - 2 freq
ansir - 1 freq
anmgroup - 1 freq
angryscotland - 3 freq
answeryourphonr - 1 freq
anassarwar - 9 freq
angrya - 3 freq
amycharlton - 1 freq
anagram - 1 freq
amshru - 1 freq
angrysalmond - 3 freq
amygear - 4 freq
angrykid - 1 freq
ansar - 1 freq
amygarbett - 1 freq
MetaPhone code - ANXRS
anchors - 1 freq
ANCHORS
Time to execute Levenshtein function - 0.205843 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 - 0.441947 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 - 0.033717 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 - 0.041152 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 - 0.000944 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.