activity
20182024
most citedUniMorph 2.0: Universal Morphology

98 citations · 347 across the 22 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CL2022★ 2 cited

Improved Long-Form Spoken Language Translation with Large Language Models

Arya D. McCarthy, Hao Zhang, Shankar Kumar +2

A challenge in spoken language translation is that plenty of spoken content is long-form, but short units are necessary for obtaining high-quality translations. To address this mis…

cs.CL2022★ 1 cited

A Major Obstacle for NLP Research: Let's Talk about Time Allocation!

Katharina Kann, Shiran Dudy, Arya D. McCarthy

The field of natural language processing (NLP) has grown over the last few years: conferences have become larger, we have published an incredible amount of papers, and state-of-the…

cs.CL2022★ 37 cited

UniMorph 4.0: Universal Morphology

Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa +93

The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables for hundreds of diverse world…

cs.CL2022

Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation?

En-Shiun Annie Lee, Sarubi Thillainathan, Shravan Nayak +4

What can pre-trained multilingual sequence-to-sequence models like mBART contribute to translating low-resource languages? We conduct a thorough empirical experiment in 10 language…

cs.CL2022★ 1 cited

Morphological Processing of Low-Resource Languages: Where We Are and What's Next

Adam Wiemerslage, Miikka Silfverberg, Changbing Yang +4

Automatic morphological processing can aid downstream natural language processing applications, especially for low-resource languages, and assist language documentation efforts for…