@inproceedings{briakou-2024-amta,
title = "{AMTA} Best Thesis Award Abstract: Detecting Fine-Grained Semantic Divergences to Improve Translation Understanding Across Languages",
author = "Briakou, Eleftheria",
editor = "Knowles, Rebecca and
Eriguchi, Akiko and
Goel, Shivali",
booktitle = "Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)",
month = sep,
year = "2024",
address = "Chicago, USA",
publisher = "Association for Machine Translation in the Americas",
url = "https://aclanthology.org/2024.amta-research.1",
pages = "1--3",
abstract = "In this thesis, we focus on detecting fine-grained semantic divergences{---}subtle meaning differences in sentences that overlap in content{---}to improve machine and human translation understanding.",
}
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%0 Conference Proceedings
%T AMTA Best Thesis Award Abstract: Detecting Fine-Grained Semantic Divergences to Improve Translation Understanding Across Languages
%A Briakou, Eleftheria
%Y Knowles, Rebecca
%Y Eriguchi, Akiko
%Y Goel, Shivali
%S Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
%D 2024
%8 September
%I Association for Machine Translation in the Americas
%C Chicago, USA
%F briakou-2024-amta
%X In this thesis, we focus on detecting fine-grained semantic divergences—subtle meaning differences in sentences that overlap in content—to improve machine and human translation understanding.
%U https://aclanthology.org/2024.amta-research.1
%P 1-3
Markdown (Informal)
[AMTA Best Thesis Award Abstract: Detecting Fine-Grained Semantic Divergences to Improve Translation Understanding Across Languages](https://aclanthology.org/2024.amta-research.1) (Briakou, AMTA 2024)
ACL