Automated Similarity Judgment Program

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 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.

The ASJP Consortium, founded around 2008,{{when|date=June 2018}} 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.

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.{{Cite web |last1=Holman |first1=Eric W. |last2=Wichmann |first2=Søren |last3=Brown |first3=Cecil H. |last4=Velupillai |first4=Viveka |last5=Müller |first5=André |last6=Bakker |first6=Dik |date=2008 |title=Explorations in automated language classification |url=https://www.researchgate.net/publication/40853552 |website=Folia Linguistica}} So subsequently word lists gathered contain only 40 items (or less, when attestations for some are lacking).

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.Wichmann, Søren, Eric W. Holman, Dik Bakker, and Cecil H. Brown. 2010. Evaluating linguistic distance measures. Physica A 389: 3632-3639 ({{doi|10.1016/j.physa.2010.05.011}}).

The ASJP uses the following 40-word list.{{Cite web |title=Guidelines |url=http://asjp.clld.org/static/Guidelines.pdf |website=asjp.clld.org}} It is similar to the Swadesh–Yakhontov list, but has some differences.

{{div col|colwidth=22em}}

;Body parts

• eye
• ear
• 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

;Numerals and pronouns

• one
• two
• I
• you
• we

{{div col end}}

ASJP version from 2016{{Citation needed|date=November 2022|reason=The list cites a 2008 reference}} 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.

A {{code|~}} mark follows two consonants so that they are considered to be in the same position.

Thus, {{IPA|kʷat}} becomes {{code|kw~at}}.

Syllables like {{code|kat}}, {{code|wat}}, {{code|kaw}} and {{code|kwi}} are considered lexically similar to {{code|kw~at}}.

Similarly, a {{code|$}} mark follows three consonants so that they are considered to be in the same position.

{{code|ndy$im}} is considered similar to {{code|nim}}, {{code|dam}} and {{code|yim}}.

{{code|"}} marks the preceding consonant as glottalized.

• Historical linguistics
• Lexicostatistics
• Lexibank

{{Reflist}}

• Søren Wichmann, Jeff Good (eds). 2014. [https://books.google.com/books?id=NJ6XCgAAQBAJ&dq=ASJP+code&pg=PA203 Quantifying Language Dynamics: On the Cutting edge of Areal and Phylogenetic Linguistics], p. 203. Leiden: Brill.
• Brown, Cecil H., et al. 2008. [https://www.researchgate.net/profile/Soren_Wichmann/publication/40853551_Automated_Classification_of_the_World%27s_Languages_A_Description_of_the_Method_and_Preliminary_Results/links/546373360cf2837efdb30a6e/Automated-Classification-of-the-Worlds-Languages-A-Description-of-the-Method-and-Preliminary-Results.pdf Automated Classification of the World's Languages: A Description of the Method and Preliminary Results]. Language Typology and Universals 61(4). November 2008. {{doi|10.1524/stuf.2008.0026}}
• Wichmann, Søren, Eric W. Holman, and Cecil H. Brown (eds.). 2018. [http://asjp.clld.org/ The ASJP Database] (version 18).

• [http://asjp.clld.org/ ASJP Database] official home page

{{Cross-Linguistic Linked Data}}

{{Long-range comparative linguistics}}

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