Papers by Danielle Bragg

3 papers
Investigating Dictionary Expansion for Video-based Sign Language Dictionaries (2025.findings-emnlp)

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Challenge: Currently, most dictionary retrieval methods only work with fixed vocabularies, and it is unclear how they might support dictionary expansion without retraining.
Approach: They propose to use a representation-based method to explore the feasibility of dictionary expansion for sign language dictionaries.
Outcome: The proposed method improves sign language dictionaries by varying number of signs added and amount of data for newly added signs.
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles (2024.emnlp-main)

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Challenge: Deaf and hard-of-hearing students face significant barriers in accessing STEM education due to the scarcity of STEM resources in signed languages.
Approach: They develop models to identify fingerspelled words in American Sign Language (ASL) given an English sentence and a video, the model detects which English phrase is fingerspelled in the clip.
Outcome: ASL STEM Wiki is the first continuous signing dataset focused on STEM . it detects fingerspelled words and queries them for appropriate signs to suggest to interpreters.
Studying and Mitigating Biases in Sign Language Understanding Models (2024.emnlp-main)

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Challenge: Using crowd-sourced sign language datasets to reduce performance disparities is critical to addressing potential biases and inequities.
Approach: They use demographic information to study biases that may result from models trained on crowd-sourced sign datasets.
Outcome: The proposed approach reduces performance disparities without decreasing accuracy.

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