arXiv Open Access 2023

Detecting Unseen Multiword Expressions in American Sign Language

Lee Kezar Aryan Shukla
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Abstrak

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.

Topik & Kata Kunci

Penulis (2)

L

Lee Kezar

A

Aryan Shukla

Format Sitasi

Kezar, L., Shukla, A. (2023). Detecting Unseen Multiword Expressions in American Sign Language. https://arxiv.org/abs/2310.00207

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓