| 2024 | Evaluation Briefs: Drawing on Translation Studies for Human Evaluation of MT. | Ting Liu, Chi-kiu Lo, Elizabeth Marshman, Rebecca Knowles |
| 2024 | Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages. | Samus Lankford, Andy Way |
| 2024 | Word-level Translation Quality Estimation Based on Optimal Transport. | Yuto Kuroda, Atsushi Fujita, Tomoyuki Kajiwara |
| 2024 | Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems. | Rebecca Knowles, Samuel Larkin, Michel Simard, Marc Tessier, Gabriel Bernier-Colborne, Cyril Goutte, Chi-kiu Lo |
| 2024 | Language Technology for All: Industry Initiatives to Serve Low Resource Languages. | Blaise Hylak |
| 2024 | CantonMT: Cantonese-English Neural Machine Translation Looking into Evaluations. | Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic |
| 2024 | Enhancing Translation Quality by Leveraging Semantic Diversity in Multimodal Machine Translation. | Ali Hatami, Mihael Arcan, Paul Buitelaar |
| 2024 | Open-source LLMs vs. NMT Systems: Translating Spatial Language in EN-PT-br Subtitles. | Rafael Fernandes, Marcos Lopes |
| 2024 | How Effective is Synthetic Data and Instruction Fine-tuning for Translation with Markup using LLMs? | Raj Dabre, Haiyue Song, Miriam Exel, Bianka Buschbeck, Johannes Eschbach-Dymanus, Hideki Tanaka |
| 2024 | Examining Cognitive Biases in ChatGPT 3.5 and ChatGPT 4 through Human Evaluation and Linguistic Comparison. | Marta Castello, Giada Pantana, Ilaria Torre |
| 2024 | AMTA Best Thesis Award Abstract: Detecting Fine-Grained Semantic Divergences to Improve Translation Understanding Across Languages. | Eleftheria Briakou |
| 2024 | Detecting concrete visual tokens for Multimodal Machine Translation. | Braeden Bowen, Vipin Vijayan, Scott Grigsby, Timothy Anderson, Jeremy Gwinnup |
| 2024 | Staying in the Loop with Gen AI: AI/Gen AI-Powered HLT for Public Sector. | Konstantine Boukhvalov |
| 2024 | Evaluating End-to-End Speech-to-Speech Translation for Dubbing: Challenges and New Metrics. | Fred Bane |
| 2024 | Entropy- and Distance-Regularized Attention Improves Low-Resource Neural Machine Translation. | Ali Araabi, Vlad Niculae, Christof Monz |
| 2024 | Academia & Business: How Quality Assurance can Merge Two Rivals. | Patry Muoz Andrs |
| 2022 | Evaluating Machine Translation in Cross-lingual E-Commerce Search. | Hang Zhang, Liling Tan, Amita Misra |
| 2022 | How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? | Shiyue Zhang, Vishrav Chaudhary, Naman Goyal, James Cross, Guillaume Wenzek, Mohit Bansal, Francisco Guzmn |
| 2022 | Limitations and Challenges of Unsupervised Cross-lingual Pre-training. | Martn Quesada Zaragoza, Francisco Casacuberta |
| 2022 | Improving Translation of Out Of Vocabulary Words using Bilingual Lexicon Induction in Low-Resource Machine Translation. | Jonas Waldendorf, Alexandra Birch, Barry Haddow, Antonio Valerio Micele Barone |
| 2022 | Gender bias Evaluation in Luganda-English Machine Translation. | Eric Peter Wairagala |
| 2022 | Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation. | Neha Verma, Kenton Murray, Kevin Duh |
| 2022 | Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation. | Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn |
| 2022 | Prefix Embeddings for In-context Machine Translation. | Suzanna Sia, Kevin Duh |
| 2022 | A Neural Machine Translation Approach to Translate Text to Pictographs in a Medical Speech Translation System - The BabelDr Use Case. | Jonathan Mutal, Pierrette Bouillon, Magali Norr, Johanna Gerlach, Lucia Ormaechea Grijalba |