WMT 2024: all accepted papers
- Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved YetTom Kocmi, Eleftherios Avramidis, Rachel Bawden et al.24 citations · our summary
- Findings of the WMT 2024 Shared Task on Chat Translation ↗Wafaa Mohammed, Sweta Agrawal, Amin Farajian et al.21 citations
- Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared TaskMarkus Freitag, Nitika Mathur, Daniel Deutsch et al.13 citations · our summary
- Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form TextsEleftheria Briakou, Jiaming Luo, Colin Cherry et al.12 citations · our summary
- Analysing Translation Artifacts: A Comparative Study of LLMs, NMTs, and Human Translations ↗Fedor Sizov, Cristina España-Bonet, Josef van Genabith et al.10 citations
- From General LLM to Translation: How We Dramatically Improve Translation Quality Using Human Evaluation Data for LLM Finetuning ↗Denis Elshin, Nikolay Karpachev, Boris Gruzdev et al.10 citations
- Error Span Annotation: A Balanced Approach for Human Evaluation of Machine TranslationTom Kocmi, Vilém Zouhar, Eleftherios Avramidis et al.8 citations · our summary
- Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning ↗Bin Wei, Zheng Jiawei, Zongyao Li et al.8 citations
- Efficient Terminology Integration for LLM-based Translation in Specialized Domains ↗Sejoon Kim, Mingi Sung, Jeonghwan Lee et al.7 citations
- Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data ↗Zhongtao Liu, Parker Riley, Daniel Deutsch et al.6 citations
- Findings of the Quality Estimation Shared Task at WMT 2024: Are LLMs Closing the Gap in QE? ↗Chrysoula Zerva, Frederic Blain, José G. C. De Souza et al.6 citations
- MetricX-24: The Google Submission to the WMT 2024 Metrics Shared TaskJuraj Juraska, Daniel Deutsch, Mara Finkelstein et al.6 citations · our summary
- Domain Dynamics: Evaluating Large Language Models in English-Hindi Translation ↗Soham Bhattacharjee, Baban Gain, Asif Ekbal5 citations
- Findings of WMT 2024 Shared Task on Low-Resource Indic Languages TranslationPartha Pakray, Santanu Pal, Advaitha Vetagiri et al.5 citations · our summary
- Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation ↗Longyue Wang, Siyou Liu, Chenyang Lyu et al.4 citations
- MTNLP-IIITH: Machine Translation for Low-Resource Indic Languages ↗Abhinav P M, Ketaki Shetye, Parameswari Krishnamurthy4 citations
- Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak ↗Mukhammadsaid Mamasaidov, Abror Shopulatov4 citations
- Pitfalls and Outlooks in Using COMET ↗Vilém Zouhar, Pinzhen Chen, Tsz Kin Lam et al.4 citations
- Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation ↗Vivek Iyer, Bhavitvya Malik, Pavel Stepachev et al.4 citations
- A Test Suite of Prompt Injection Attacks for LLM-based Machine Translation ↗Antonio Valerio Miceli Barone, Zhifan Sun3 citations
- Chitranuvad: Adapting Multi-lingual LLMs for Multimodal Translation ↗Shaharukh Khan, Ayush Tarun, Ali Faraz et al.3 citations
- Document-level Translation with LLM Reranking: Team-J at WMT 2024 General Translation Task ↗Keito Kudo, Hiroyuki Deguchi, Makoto Morishita et al.3 citations
- English-to-Low-Resource Translation: A Multimodal Approach for Hindi, Malayalam, Bengali, and Hausa ↗Ali Hatami, Shubhanker Banerjee, Mihael Arcan et al.3 citations
- Multimodal Machine Translation for Low-Resource Indic Languages: A Chain-of-Thought Approach Using Large Language Models ↗Pawan Rajpoot, Nagaraj Bhat, Ashish Shrivastava3 citations
- NLIP-Lab-IITH Multilingual MT System for WAT24 MT Shared Task ↗Maharaj Brahma, Pramit Sahoo, Maunendra Sankar Desarkar3 citations
- Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding Are Both the Problem ↗Sara Court, Micha Elsner3 citations
- Context-aware and Style-related Incremental Decoding Framework for Discourse-Level Literary Translation ↗Yuanchang Luo, Jiaxin Guo, Daimeng Wei et al.2 citations
- Findings of WMT 2024's MultiIndic22MT Shared Task for Machine Translation of 22 Indian Languages ↗Raj Dabre, Anoop Kunchukuttan2 citations
- Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy ↗Brian Thompson, Nitika Mathur, Daniel Deutsch et al.2 citations
- Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis ↗Hippolyte Gisserot-Boukhlef, Ricardo Rei, Emmanuel Malherbe et al.2 citations
- MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration ↗David Anugraha, Garry Kuwanto, Lucky Susanto et al.2 citations
- Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task ↗Ricardo Rei, Jose Pombal, Nuno M. Guerreiro et al.2 citations
- chrF-S: Semantics Is All You Need ↗Ananya Mukherjee, Manish Shrivastava2 citations
- A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content ↗Shenbin Qian, Constantin Orasan, Diptesh Kanojia et al.1 citation
- Assessing the Role of Imagery in Multimodal Machine Translation ↗Nicholas Kashani Motlagh, Jim Davis, Jeremy Gwinnup et al.1 citation
- Choose the Final Translation from NMT and LLM Hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task ↗Zhanglin Wu, Daimeng Wei, Zongyao Li et al.1 citation
- Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History ↗Mingi Sung, Seungmin Lee, Jiwon Kim et al.1 citation
- Correcting FLORES Evaluation Dataset for Four African Languages ↗Idris Abdulmumin, Sthembiso Mkhwanazi, Mahlatse Mbooi et al.1 citation
- Cultural Adaptation of Menus: A Fine-Grained Approach ↗Zhonghe Zhang, Xiaoyu He, Vivek Iyer et al.1 citation
- DCU ADAPT at WMT24: English to Low-resource Multi-Modal Translation Task ↗Sami Haq, Rudali Huidrom, Sheila Castilho1 citation
- Efficient Technical Term Translation: A Knowledge Distillation Approach for Parenthetical Terminology Translation ↗Jiyoon Myung, Jihyeon Park, Jungki Son et al.1 citation
- Enhancing Translation Quality: A Comparative Study of Fine-Tuning and Prompt Engineering in Dialog-Oriented Machine Translation Systems. Insights from the MULTITAN-GML Team ↗Lichao Zhu, Maria Zimina, Behnoosh Namdarzadeh et al.1 citation
- Enhancing Tuvan Language Resources through the FLORES Dataset ↗Ali Kuzhuget, Airana Mongush, Nachyn-Enkhedorzhu Oorzhak1 citation
- Evaluation and Large-scale Training for Contextual Machine Translation ↗Matt Post, Marcin Junczys-Dowmunt1 citation
- Exploring the Traditional NMT Model and Large Language Model for Chat Translation ↗Jinlong Yang, Hengchao Shang, Daimeng Wei et al.1 citation
- FLORES+ Translation and Machine Translation Evaluation for the Erzya Language ↗Isai Gordeev, Sergey Kuldin, David Dale1 citation
- Findings of the WMT 2024 Shared Task Translation into Low-Resource Languages of Spain: Blending Rule-Based and Neural Systems ↗Felipe Sánchez-Martínez, Juan Antonio Perez-Ortiz, Aaron Galiano Jimenez et al.1 citation
- Findings of the WMT 2024 Shared Task of the Open Language Data Initiative ↗Laurie Burchell, Jean Maillard, Antonios Anastasopoulos et al.1 citation
- Hybrid Distillation from RBMT and NMT: Helsinki-NLP's Submission to the Shared Task on Translation into Low-Resource Languages of Spain ↗Ona De Gibert, Mikko Aulamo, Yves Scherrer et al.1 citation
- Improving Context Usage for Translating Bilingual Customer Support Chat with Large Language Models ↗Jose Pombal, Sweta Agrawal, André Martins1 citation
- Machine Translation Evaluation Benchmark for Wu Chinese: Workflow and Analysis ↗Hongjian Yu, Yiming Shi, Zherui Zhou et al.1 citation
- Machine Translation Metrics Are Better in Evaluating Linguistic Errors on LLMs than on Encoder-Decoder Systems ↗Eleftherios Avramidis, Shushen Manakhimova, Vivien Macketanz et al.1 citation
- Mitigating Metric Bias in Minimum Bayes Risk Decoding ↗Geza Kovacs, Daniel Deutsch, Markus Freitag1 citation
- Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain ↗Yuanchang Luo, Zhanglin Wu, Daimeng Wei et al.1 citation
- On Instruction-Finetuning Neural Machine Translation Models ↗Vikas Raunak, Roman Grundkiewicz, Marcin Junczys-Dowmunt1 citation
- Reducing Redundancy in Japanese-to-English Translation: A Multi-Pipeline Approach for Translating Repeated Elements in Japanese ↗Qiao Wang, Yixuan Huang, Zheng Yuan1 citation
- SPRING Lab IITM's Submission to Low Resource Indic Language Translation Shared Task ↗Hamees Sayed, Advait Joglekar, Srinivasan Umesh1 citation
- Speech Is More than Words: Do Speech-to-Text Translation Systems Leverage Prosody? ↗Ioannis Tsiamas, Matthias Sperber, Andrew Finch et al.1 citation
- System Description of BV-SLP for Sindhi-English Machine Translation in MultiIndic22MT 2024 Shared Task ↗Nisheeth Joshi, Pragya Katyayan, Palak Arora et al.1 citation
- The SETU-ADAPT Submissions to WMT 2024 Chat Translation Tasks ↗Maria Zafar, Antonio Castaldo, Prashanth Nayak et al.1 citation
- Training and Fine-Tuning NMT Models for Low-Resource Languages Using Apertium-Based Synthetic Corpora ↗Aleix Sant, Daniel Bardanca, José Ramom Pichel Campos et al.1 citation
- WMT24 System Description for the MultiIndic22MT Shared Task on Manipuri Language ↗Ningthoujam Justwant Singh, Kshetrimayum Boynao Singh, Ningthoujam Avichandra Singh et al.1 citation
- Yes-MT's Submission to the Low-Resource Indic Language Translation Shared Task in WMT 2024 ↗Yash Bhaskar, Parameswari Krishnamurthy1 citation
- A High-quality Seed Dataset for Italian Machine Translation ↗Edoardo Ferrante
- A3-108 Controlling Token Generation in Low Resource Machine Translation Systems ↗Saumitra Yadav, Ananya Mukherjee, Manish Shrivastava
- AIST AIRC Systems for the WMT 2024 Shared Tasks ↗Matiss Rikters, Makoto Miwa
- Arewa NLP's Participation at WMT24 ↗Mahmoud Ahmad, Auwal Khalid, Lukman Aliyu et al.
- Back to the Stats: Rescuing Low Resource Neural Machine Translation with Statistical Methods ↗Menan Velayuthan, Dilith Jayakody, Nisansa De Silva et al.
- Benchmarking Visually-Situated Translation of Text in Natural Images ↗Elizabeth Salesky, Philipp Koehn, Matt Post
- Brotherhood at WMT 2024: Leveraging LLM-Generated Contextual Conversations for Cross-Lingual Image Captioning ↗Siddharth Betala, Ishan Chokshi
- CUNI at WMT24 General Translation Task: LLMs, (Q)LoRA, CPO and Model Merging ↗Miroslav Hrabal, Josef Jon, Martin Popel et al.
- CloudSheep System for WMT24 Discourse-Level Literary Translation ↗Lisa Liu, Ryan Liu, Angela Tsai et al.
- CoST of breaking the LLMs ↗Ananya Mukherjee, Saumitra Yadav, Manish Shrivastava
- Cogs in a Machine, Doing What They're Meant to Do – the AMI Submission to the WMT24 General Translation Task ↗Atli Jasonarson, Hinrik Hafsteinsson, Bjarki Ármannsson et al.
- CycleGN: A Cycle Consistent Approach for Neural Machine Translation ↗Sören Dreano, Derek Molloy, Noel Murphy
- DLUT and GTCOM's Neural Machine Translation Systems for WMT24 ↗Hao Zong, Chao Bei, Huan Liu et al.
- DLUT-NLP Machine Translation Systems for WMT24 Low-Resource Indic Language Translation ↗Chenfei Ju, Junpeng Liu, Kaiyu Huang et al.
- Evaluating WMT 2024 Metrics Shared Task Submissions on AfriMTE (the African Challenge Set) ↗Jiayi Wang, David Ifeoluwa Adelani, Pontus Stenetorp
- Expanding FLORES+ Benchmark for More Low-Resource Settings: Portuguese-Emakhuwa Machine Translation Evaluation ↗Felermino Dario Mario Ali, Henrique Lopes Cardoso, Rui Sousa-Silva
- Expanding the FLORES+ Multilingual Benchmark with Translations for Aragonese, Aranese, Asturian, and Valencian ↗Juan Antonio Perez-Ortiz, Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena et al.
- Exploration of the CycleGN Framework for Low-Resource Languages ↗Sören Dreano, Derek Molloy, Noel Murphy
- Final Submission of SJTULoveFiction to Literary Task ↗Haoxiang Sun, Tianxiang Hu, Ruize Gao et al.
- Findings of WMT2024 English-to-Low Resource Multimodal Translation Task ↗Shantipriya Parida, Ondřej Bojar, Idris Abdulmumin et al.
- Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level ↗Mariana Neves, Cristian Grozea, Philippe Thomas et al.
- Findings of the WMT 2024 Shared Task on Non-Repetitive Translation ↗Kazutaka Kinugawa, Hideya Mino, Isao Goto et al.
- Graph Representations for Machine Translation in Dialogue Settings ↗Lea Krause, Selene Baez Santamaria, Jan-Christoph Kalo
- HW-TSC 2024 Submission for the Quality Estimation Shared Task ↗Weiqiao Shan, Ming Zhu, Yuang Li et al.
- HW-TSC's Participation in the WMT 2024 QEAPE Task ↗Jiawei Yu, Xiaofeng Zhao, Min Zhang et al.
- How Effective Are State Space Models for Machine Translation? ↗Hugo Pitorro, Pavlo Vasylenko, Marcos Treviso et al.
- How Grammatical Features Impact Machine Translation: A New Test Suite for Chinese-English MT Evaluation ↗Huacheng Song, Yi Li, Yiwen Wu et al.
- IKUN for WMT24 General MT Task: LLMs Are Here for Multilingual Machine Translation ↗Baohao Liao, Christian Herold, Shahram Khadivi et al.
- Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data ↗Mara Finkelstein, David Vilar, Markus Freitag
- Investigating the Linguistic Performance of Large Language Models in Machine Translation ↗Shushen Manakhimova, Vivien Macketanz, Eleftherios Avramidis et al.
- IsoChronoMeter: A Simple and Effective Isochronic Translation Evaluation Metric ↗Nikolai Rozanov, Vikentiy Pankov, Dmitrii Mukhutdinov et al.
- Killing Two Flies with One Stone: An Attempt to Break LLMs Using English-Icelandic Idioms and Proper Names ↗Bjarki Ármannsson, Hinrik Hafsteinsson, Atli Jasonarson et al.
- LinChance-NTU for Unconstrained WMT2024 Literary Translation ↗Kechen Li, Yaotian Tao, Hongyi Huang et al.
- MSLC24 Submissions to the General Machine Translation Task ↗Samuel Larkin, Chi-Kiu Lo, Rebecca Knowles
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