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cs.CL2026
Retrieval-Augmented Long-Context Translation for Cultural Image Captioning: Gators submission for AmericasNLP 2026 shared task
Aashish Dhawan, Christopher Driggers-Ellis, Dzmitry Kasinets +2
We present the University of Florida Gators submission to the AmericasNLP 2026 shared task on cultural image captioning for Indigenous languages. Our two-stage pipeline generates a…
cs.CL2026
Improving Indigenous Language Machine Translation with Synthetic Data and Language-Specific Preprocessing
Aashish Dhawan, Christopher Driggers-Ellis, Christan Grant +1
Low-resource indigenous languages often lack the parallel corpora required for effective neural machine translation (NMT). Synthetic data generation offers a practical strategy for…
cs.CL2025
MultiScript30k: Leveraging Multilingual Embeddings to Extend Cross Script Parallel Data
Christopher Driggers-Ellis, Detravious Brinkley, Ray Chen +3
Multi30k is frequently cited in the multimodal machine translation (MMT) literature, offering parallel text data for training and fine-tuning deep learning models. However, it is l…