# Hierarchical Character-Word Models for Language Identification

arXiv: https://arxiv.org/abs/1608.03030 · HTML: https://mlsanity.com/paper/1608.03030/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Aug 2016.

## Built on by (most cited first, 2 of 2)

- [Language Identification for Austronesian Languages](https://mlsanity.com/paper/2206.04327/) (2022)
- [A Simple and Efficient Probabilistic Language model for Code-Mixed Text](https://mlsanity.com/paper/2106.15102/) (2021)

## Abstract (arXiv)

Social media messages' brevity and unconventional spelling pose a challenge to language identification. We introduce a hierarchical model that learns character and contextualized word-level representations for language identification. Our method performs well against strong base- lines, and can also reveal code-switching.