5 citations · 22 across the 25 of their papers we have counts for
6 papers · 2 filters
Segment, Embed, and Align: A Universal Recipe for Aligning Subtitles to Signing
Zifan Jiang, Youngjoon Jang, Liliane Momeni +3
The goal of this work is to develop a universal approach for aligning subtitles (i.e., spoken language text with corresponding timestamps) to continuous sign language videos. Prior…
Template-Based Text-to-Image Alignment for Language Accessibility: A Study on Visualizing Text Simplifications
Belkiss Souayed, Sarah Ebling, Yingqiang Gao
Individuals with intellectual disabilities often have difficulties in comprehending complex texts. While many text-to-image models prioritize aesthetics over accessibility, it is n…
Meaningful Pose-Based Sign Language Evaluation
Zifan Jiang, Colin Leong, Amit Moryossef +8
We present a comprehensive study on meaningfully evaluating sign language utterances in the form of human skeletal poses. The study covers keypoint distance-based, embedding-based,…
MultimodalHugs: Enabling Sign Language Processing in Hugging Face
Gerard Sant, Zifan Jiang, Carlos Escolano +4
In recent years, sign language processing (SLP) has gained importance in the general field of Natural Language Processing. However, compared to research on spoken languages, SLP re…
Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual Disabilities
Yingqiang Gao, Kaede Johnson, David Froehlich +2
Automatic text simplification (ATS) aims to enhance language accessibility for various target groups, particularly persons with intellectual disabilities. Recent advancements in ge…
Benchmarking NLP-supported Language Sample Analysis for Swiss Children's Speech
Anja Ryser, Yingqiang Gao, Sarah Ebling
Language sample analysis (LSA) is a process that complements standardized psychometric tests for diagnosing, for example, developmental language disorder (DLD) in children. However…