# Detecting Unseen Multiword Expressions in American Sign Language

arXiv: https://arxiv.org/abs/2310.00207 · HTML: https://mlsanity.com/paper/2310.00207/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 10 references that are in the map.
- First posted on arXiv 30 Sep 2023.

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

- [Unsupervised Cross-lingual Transfer of Word Embedding Spaces](https://mlsanity.com/paper/1809.03633/) (2018)

## Abstract (arXiv)

Multiword expressions present unique challenges in many translation tasks. In an attempt to ultimately apply a multiword expression detection system to the translation of American Sign Language, we built and tested two systems that apply word embeddings from GloVe to determine whether or not the word embeddings of lexemes can be used to predict whether or not those lexemes compose a multiword expression. It became apparent that word embeddings carry data that can detect non-compositionality with decent accuracy.