Lorna Quandt — accepted AI-conference papers

2024

Generating Signed Language Instructions in Large-Scale Dialogue Systems

Mert Inan, Katherine Atwell, Anthony Sicilia, Lorna Quandt, Malihe Alikhani

NAACL 2024industry

We introduce a goal-oriented conversational AI system enhanced with American Sign Language (ASL) instructions, presenting the first implementation of such a system on a worldwide multimodal conversational AI platform. Accessible through a touch-based interface, our system receives input from users a…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2022

Modeling Intensification for Sign Language Generation: A Computational Approach

Mert Inan, Yang Zhong, Sabit Hassan, Lorna Quandt, Malihe Alikhani

ACL 2022findings

End-to-end sign language generation models do not accurately represent the prosody in sign language. A lack of temporal and spatial variations leads to poor-quality generated presentations that confuse human interpreters. In this paper, we aim to improve the prosody in generated sign languages by mo…

Cited by 16 Source ↗PDF ↗code ↗Scholar ↗