# Computational Typology

arXiv: https://arxiv.org/abs/2504.15642 · HTML: https://mlsanity.com/paper/2504.15642/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 40 references that are in the map.
- First posted on arXiv 22 Apr 2025.

## Builds on (most cited first, 1 of 1)

- [Global-scale phylogenetic linguistic inference from lexical resources](https://mlsanity.com/paper/1802.06079/) (2018)

## Built on by (most cited first, 1 of 1)

- [The taggedPBC: Annotating a massive parallel corpus for crosslinguistic investigations](https://mlsanity.com/paper/2505.12560/) (2025)

## Abstract (arXiv)

Typology is a subfield of linguistics that focuses on the study and classification of languages based on their structural features. Unlike genealogical classification, which examines the historical relationships between languages, typology seeks to understand the diversity of human languages by identifying common properties and patterns, known as universals. In recent years, computational methods have played an increasingly important role in typological research, enabling the analysis of large-scale linguistic data and the testing of hypotheses about language structure and evolution. This article provides an illustration of the benefits of computational statistical modeling in typology.