Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks

LIACC/Emakhuwa-News-Topic-Classification

BibTeX: The dataset paper was published in EMNLP 2024. Please cite as: @inproceedings{ali-etal-2024-

Amharic News Topic Classification: Dataset and Transformer-Based Model Benchmarks

Multimodal Multisource Neural Machine Translation: Building Resources for Image Caption Translation from European Languages into Arabic

Neural machine translation (NMT) models combining textual and visual inputs generate more accurate t

Expanding FLORES+ Benchmark for more Low-Resource Settings: Portuguese-Emakhuwa Machine Translation Evaluation

As part of the Open Language Data Initiative shared tasks, we have expanded the FLORES+ evaluation s

Explainable Machine Learning Models for Swahili News Classification

Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Failures, and Metric Reliability

We investigate the translation quality of current large language models (LLMs) for English-to-Hausa