# Language classification from bilingual word embedding graphs

arXiv: https://arxiv.org/abs/1607.05014 · HTML: https://mlsanity.com/paper/1607.05014/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Jul 2016.

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

- [Can the Language of the Collation be Translated into the Language of the Stemma? Using Machine Translation for Witness Localization](https://mlsanity.com/paper/2206.05603/) (2022)

## Abstract (arXiv)

We study the role of the second language in bilingual word embeddings in monolingual semantic evaluation tasks. We find strongly and weakly positive correlations between down-stream task performance and second language similarity to the target language. Additionally, we show how bilingual word embeddings can be employed for the task of semantic language classification and that joint semantic spaces vary in meaningful ways across second languages. Our results support the hypothesis that semantic language similarity is influenced by both structural similarity as well as geography/contact.