Apologies for cross-posting
--------------------------------------------------------------------------- *The Ninth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2026)*
*https://www.loresmt.org/ https://www.loresmt.org/*
*@ EACL 2026 (March 24-29, 2026)*
*Rabat, Morocco*
*SUBMISSION*
ARR submission link:
https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/LoResMT
*TIMELINE*
- Submission deadline: December 19, 2025 (Anywhere on Earth)
- Pre-reviewed (ARR) submission deadline: January 2, 2026
- Notification of acceptance: January 23, 2026
- Camera-ready paper due: February 3, 2026 (Anywhere on Earth)
- Pre-recorded video due (hard deadline): February 24, 2026
- Workshop dates at EACL 2026: TBD
- EACL 202 Main Conference: March 24-29, 2026
*SCOPE*
Based on the success of past low-resource machine translation (MT) workshops at AMTA 2018, MT Summit 2019, AACL-IJCNLP 2020, AMTA 2021, COLING 2022, EACL 2023, ACL 2024, NAACL 2025, we introduce LoResMT 2026 workshop at EACL 2025. The workshop provides a discussion panel for researchers working on MT systems/methods for low-resource and under-represented languages in general. We would like to help review/overview the state of MT for low-resource languages and define the most important directions. Fundamental work on low-resource languages in MT and NLP is still crucial and unavoidable. We also solicit papers dedicated to supplementary natural language processing (NLP) tools that are used in any language and especially in low-resource languages. Overview papers of these NLP tools are very welcome. It will be beneficial if the evaluations of these tools in research papers include their impact on the quality of MT output.
*TOPICS*
We are highly interested in (1) original research papers, (2) review/opinion papers, and (3) online systems on the topics below; however, we welcome all novel ideas that cover research on low-resource languages.
- Neural machine translation for low-resource languages
- Work that presents online systems for practical use by native speakers
- Word tokenizers/de-tokenizers for specific languages
- Word/morpheme segmenters for specific languages
- Alignment/Re-ordering tools for specific language pairs
- Use of morphology analyzers and/or morpheme segmenters in MT
- Multilingual/cross-lingual NLP tools for MT
- Corpora creation and curation technologies for low-resource languages
- COVID-related corpora, their translations and corresponding NLP/MT systems
- Review of available parallel corpora for low-resource languages
- Research and review papers of MT methods for low-resource languages
- MT systems/methods (e.g. rule-based, SMT, NMT) for low-resource languages
- Pivot MT for low-resource languages
- Zero-shot MT for low-resource languages
- Fast building of MT systems for low-resource languages
- Re-usability of existing MT systems for low-resource languages
- Machine translation for language preservation
*SUBMISSION INFORMATION*
We are soliciting two types of submissions: (1) research, review, and position papers and (2) system demonstration papers. For research, review and position papers, the length of each paper should be at least four (4) and not exceed eight (8) pages, plus unlimited pages for references. For system demonstration papers, the limit is four (4) pages. Submissions should be formatted according to the official ACL style templates (Overleaf). Please refer to the EACL submission guidelines for further information https://2026.eacl.org/calls/papers/. Accepted papers will be published online in the EACL 2026 proceedings and will be presented at the conference.
Submissions must be anonymized and should be done using the provided submission system. Scientific papers that have been or will be submitted to other venues must be declared as such and must be withdrawn from the other venues if accepted and published at LoResMT. The review will be double-blind. Authors of an accepted paper should present their paper in person at EACL 2026. Papers should be submitted in PDF to the LoResMT Open Review.
We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided.
Registration is handled by the main conference ( https://2026.eacl.org/registration).
*ORGANIZING COMMITTEE (LISTED ALPHABETICALLY)*
Atul Kr. Ojha
Chao-Hong Liu
Ekaterina Vylomova
Flammie Pirinen
Jonathan Washington
Nathaniel Oco
Xiaobing Zhao
*PROGRAM COMMITTEE (To be confirmed)*
Abigail Walsh, ADAPT Centre, Dublin City University, Ireland
Alberto Poncelas, Rakuten, Singapore
Ali Hatami, University of Galway
Alina Karakanta, Leiden University
Amirhossein Tebbifakhr, Fondazione Bruno Kessler
Anna Currey, Amazon Web Services
Aswarth Abhilash Dara, Walmart Global Technology
Arturo Oncevay, University of Edinburgh
Atul Kr. Ojha, DSI, University of Galway
Barry Haddow, University of Edinburgh
Bogdan Babych, Heidelberg University
Chao-Hong Liu, Potamu Research Ltd
Constantine Lignos, Brandeis University, USA
Daan van Esch, Google
Diptesh Kanojia, University of Surrey, UK
Duygu Ataman, University of Zurich
Ekaterina Vylomova, University of Melbourne, Australia
Eleni Metheniti, CLLE-CNRS and IRIT-CNRS
Flammie Pirinen, UiT The Arctic University of Norway, Tromsø
Koel Dutta Chowdhury, Saarland University (Germany)
Jade Abbott, Retro Rabbit
Jasper Kyle Catapang, University of the Philippines
Jinliang Lu, Institute of Automation, Chinese Academy of Sciences
John P. McCrae, DSI, University of Galway
Liangyou Li, Noah’s Ark Lab, Huawei Technologies
Majid Latifi, University of York, York, UK
Maria Art Antonette Clariño, University of the Philippines Los Baños
Mathias Müller, University of Zurich
Milind Agarwal, George Mason University
Nathaniel Oco, De La Salle University (Philippines)
Pavel Rychlý, Masaryk University
Pengwei Li, Meta
Rico Sennrich, University of Zurich
Saliha Muradoglu, The Australian National University
Sangjee Dondrub, Qinghai Normal University
Santanu Pal, WIPRO AI
Sardana Ivanova, University of Helsinki
Sourabrata Mukherjee, Charles University
Surafel Melaku Lakew, Amazon AI
Thepchai Supnithi, National Electronics and Computer Technology Centre
Timothee Mickus, University of Helsinki
Wen Lai, Center for Information and Language Processing, LMU Munich
Xuebo Liu, Harbin Institute of Technolgy, Shenzhen
Yalemisew Abgaz, Dublin City University
Yasmin Moslem, ADAPT Centre, Dublin City University, Ireland
Zhanibek Kozhirbayev, National Laboratory Astana, Nazarbayev University
*CONTACT*
Please email loresmt@googlegroups.com if you have any questions/comments/suggestions.