Papers by Janice Lam

1 papers
HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation (2023.emnlp-main)

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Challenge: Previously available quality assessments do not distinguish between hallucinations and omissions.
Approach: They propose to annotate hallucinations and omissions in machine translation using a single language pair.
Outcome: The proposed dataset covers 18 translation directions with varying resource levels and scripts.

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