Search Results for author:
Found 9 papers, 7 papers with code
Pose-Based Sign Language Appearance Transfer
We introduce a method for transferring the signer's appearance in sign language skeletal poses while preserving the sign content.
SignCLIP: Connecting Text and Sign Language by Contrastive Learning
We present SignCLIP, which re-purposes CLIP (Contrastive Language-Image Pretraining) to project spoken language text and sign language videos, two classes of natural languages of distinct modalities, into the same space.
Linguistically Motivated Sign Language Segmentation
We find that introducing BIO tagging is necessary to model sign boundaries.
SignBank+: Preparing a Multilingual Sign Language Dataset for Machine Translation Using Large Language Models
We introduce SignBank+, a clean version of the SignBank dataset, optimized for machine translation between spoken language text and SignWriting, a phonetic sign language writing system.
An Open-Source Gloss-Based Baseline for Spoken to Signed Language Translation
Sign language translation systems are complex and require many components.
Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural Networks
We present a novel approach to automatically detect and classify great ape calls from continuous raw audio recordings collected during field research.
Considerations for meaningful sign language machine translation based on glosses
Automatic sign language processing is gaining popularity in Natural Language Processing (NLP) research (Yin et al., 2021).
Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting
This paper presents work on novel machine translation (MT) systems between spoken and signed languages, where signed languages are represented in SignWriting, a sign language writing system.
Privacy-Preserving Eye-tracking Using Deep Learning
The expanding usage of complex machine learning methods like deep learning has led to an explosion in human activity recognition, particularly applied to health.
