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LoResMT 2023 : The Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages


When May 2, 2023 - May 6, 2023
Where Dubrovnik, Croatia
Submission Deadline Feb 13, 2023
Notification Due Mar 13, 2023
Final Version Due Mar 27, 2023
Categories    NLP   computational linguistics   artificial intelligene

Call For Papers


The Sixth Workshop on Technologies for Machine Translation of
Low-Resource Languages (LoResMT 2023)
@ EACL 2023 (May 2–6, 2023)
Valamar Lacroma Dubrovnik Hotel, Iva Dulčića 34, 20000, Dubrovnik, Croatia


Paper due: February 13, 2023 (Monday) at 23:59 (Anywhere on Earth)
Notification of acceptance: March 13, 2023 (Monday)
Camera-ready papers due: March 27, 2023 (Monday)
Conference dates: May 2-6, 2023


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, we introduce the Sixth Workshop. 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. We also solicit papers dedicated to supplementary 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.


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.

- COVID-related corpora, their translations and corresponding NLP/MT systems
- 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
- 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


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 EACL 2023 style templates (LaTeX, Word, Overleaf). Accepted papers will be published online in the EACL 2023 proceedings and will be presented at the conference.

Submissions must be anonymized and should be done using the official conference management system (which will be available in the following weeks). 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.

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.


Atul Kr. Ojha, University of Galway & Panlingua Language Processing LLP
Chao-Hong Liu, Potamu Research Ltd
Ekaterina Vylomova, University of Melbourne, Australia
Jade Abbott, Retro Rabbit
Jonathan Washington, Swarthmore College
Nathaniel Oco, National University (Philippines)
Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø
Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University
Varvara Logacheva, Skolkovo Institute of Science and Technology
Xiaobing Zhao, Minzu University of China


Alberto Poncelas, Rakuten, Singapore
Alina Karakanta, Fondazione Bruno Kessler
Amirhossein Tebbifakhr, Fondazione Bruno Kessler
Anna Currey, Amazon Web Services
Aswarth Abhilash Dara, Amazon
Arturo Oncevay, University of Edinburgh
Bharathi Raja Chakravarthi, University of Galway
Beatrice Savold, University of Trento
Bogdan Babych, Heidelberg University
Constantine Lignos, Brandeis University, USA
Daan van Esch, Google
Diptesh Kanojia, University of Surrey, UK
Duygu Ataman, University of Zurich
Eleni Metheniti, CLLE-CNRS and IRIT-CNRS
Francis Tyers, Indiana University
Kalika Bali, MSRI Bangalore, India
Koel Dutta Chowdhury, Saarland University (Germany)
Jade Abbott, Retro Rabbit
Jasper Kyle Catapang, University of the Philippines
John P. McCrae, DSI, Univerity of Galway
Kevin Patrick Scannell, Saint Louis University
Liangyou Li, Noah’s Ark Lab, Huawei Technologies
Maria Art Antonette Clariño, University of the Philippines Los Baños
Majid Latifi, University of York, York, UK
Mathias Müller, University of Zurich
Monojit Choudhury, Microsoft Turing
Rico Sennrich, University of Zurich
Sangjee Dondrub, Qinghai Normal University
Santanu Pal, WIPRO AI
Sardana Ivanova, University of Helsinki
Shantipriya Parida, Silo AI
Sunit Bhattacharya, Charles University
Surafel Melaku Lakew, Amazon AI


Please email if you have any questions/comments/suggestions.

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