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Computational Linguistics Journal
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Even state-of-the-art MT systems struggle with ambiguous words — especially rare senses.
DiBiMT is a new fully human-curated benchmark across 8 language pairs to study disambiguation bias in MT.
📄 Read the paper in Computational Linguistics: https://direct.mit.edu/coli/article/51/2/343/124626/DiBiMT-A-Gold-Evaluation-Benchmark-for-Studying
2025-08-03T11:57:35.908Z