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Fred Blain

2 accepted papers

2024

What do Large Language Models Need for Machine Translation Evaluation?

EMNLP 2024main

Leveraging large language models (LLMs) for various natural language processing tasks has led to superlative claims about their performance. For the evaluation of machine translation (MT), existing research shows that LLMs are able to achieve results comparable to fine-tuned multilingual pre-trained…

2023

Quality Estimation-Assisted Automatic Post-Editing

EMNLP 2023long findings

Automatic Post-Editing (APE) systems are prone to over-correction of the Machine Translation (MT) outputs. While Word-level Quality Estimation (QE) system can provide a way to curtail the over-correction, a significant performance gain has not been observed thus far by utilizing existing APE and QE…

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