A computational analysis of lexical elaboration across languages

Area of Science:

• Computational linguistics
• Lexicology
• Cultural anthropology

Background:

• Claims regarding lexical elaboration, such as specialized vocabulary in certain languages (e.g., Mongolian horse terms), are common but often lack rigorous testing.
• Existing methods for verifying lexical elaboration are typically anecdotal or limited in scope, hindering large-scale analysis.

Purpose of the Study:

• To develop and validate a computational methodology for assessing lexical elaboration claims at scale.
• To systematically test a large corpus of existing claims about lexical elaboration using bilingual dictionaries.
• To identify novel instances of lexical elaboration and explore their correlation with ecological and cultural factors.

Main Methods:

• Creation of BILA, a dataset comprising 1,574 bilingual dictionaries.
• Application of computational analysis to BILA to quantify lexical elaboration.
• Statistical analysis to correlate lexical elaboration with ecological and cultural variables.

Main Results:

• The computational approach confirmed 147 out of 163 previously reported claims of lexical elaboration.
• The study identified previously undocumented examples of lexical elaboration across various languages.
• Significant correlations were found between lexical elaboration and specific ecological and cultural variables.

Conclusions:

• Computational analysis of bilingual dictionaries provides a scalable and effective method for validating claims about lexical elaboration.
• The findings support the notion that lexical elaboration is influenced by environmental and societal factors.
• This research demonstrates the potential for computational linguistics to yield non-obvious insights into the relationship between language, culture, and environment.