1. History

1.1. Original Goals

ASJP was originally developed as a means for objectively evaluating the similarity of words with the same meaning from different languages, with the ultimate goal of classifying languages computationally, based on the lexical similarities observed. In the first ASJP paper^[1] two semantically identical words from compared languages were judged similar if they showed at least two identical sound segments. Similarity between the two languages was calculated as a percentage of the total number of words compared that were judged as similar. This method was applied to 100-item word lists for 250 languages from language families including Austroasiatic, Indo-European, Mayan, and Muskogean.

1.2. ASJP Consortium

The ASJP Consortium, founded around 2008, came to involve around 25 professional linguists and other interested parties working as volunteer transcribers and/or extending aid to the project in other ways. The main driving force behind the founding of the consortium was Cecil H. Brown. Søren Wichmann is daily curator of the project. A third central member of the consortium is Eric W. Holman, who has created most of the software used in the project.

1.3. Shorter Word Lists

While word lists used were originally based on the 100-item Swadesh list, it was statistically determined that a subset of 40 of the 100 items produced just as good if not slightly better classificatory results than the whole list.^[2] So subsequently word lists gathered contain only 40 items (or less, when attestations for some are lacking).

1.4. Levenshtein Distance

In papers published since 2008, ASJP has employed a similarity judgment program based on Levenshtein distance (LD). This approach was found to produce better classificatory results measured against expert opinion than the method used initially. LD is defined as the minimum number of successive changes necessary to convert one word into another, where each change is the insertion, deletion, or substitution of a symbol. Within the Levenshtein approach, differences in word length can be corrected for by dividing LD by the number of symbols of the longer of the two compared words. This produces normalized LD (LDN). An LDN divided (LDND) between the two languages is calculated by dividing the average LDN for all the word pairs involving the same meaning by the average LDN for all the word pairs involving different meanings. This second normalization is intended to correct for chance similarity.^[3]

2. Word List

The ASJP uses the following 40-word list.^[4] It is similar to the Swadesh–Yakhontov list, but has some differences.

Body parts

• eye

• nose
• tongue
• tooth
• hand
• knee
• blood
• bone
• breast (woman’s)
• liver
• skin

Animals and plants

louse

• dog
• fish (noun)
• horn (animal part)
• tree
• leaf

People

person

• name (noun)

Nature

sun

• star
• water
• fire
• stone
• path
• mountain
• night (dark time)

Verbs and adjectives

drink (verb)

• die
• see
• hear
• come
• new
• full
• one
• two
• I
• you
• we

3. ASJPcode

ASJP version from 2016 uses the following symbols to encode phonemes: p b f v m w 8 t d s z c n r l S Z C j T 5 y k g x N q X h 7 L 4 G ! i e E 3 a u o

They represent 7 vowels and 34 consonants, all found on the standard QWERTY keyboard.

The content is sourced from: https://handwiki.org/wiki/Social:Automated_Similarity_Judgment_Program