Apologies for cross-posting.
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The Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)
@ ACL 2024 (August 11–16, 2024)
Bangkok, Thailand
SUBMISSION
https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/LoResMT
TIMELINE
Paper submission due: May 17 (Friday), 2024, at 23:59 (Anywhere on Earth)
Notification of acceptance: June 17 (Monday), 2024
Camera-ready papers due: July 1 (Monday), 2024, at 23:59 (Anywhere on Earth)
Workshop dates at ACL: August 15, 2024
SCOPE
Based on the success of past low-resource machine translation (MT) workshops at AMTA 2018 (https://amtaweb.org/), MT Summit 2019 ( https://www.mtsummit2019.com), AACL-IJCNLP 2020 (http://aacl2020.org/), AMTA 2021, COLING 2022 and EACL 2023, we introduce the Seventh LoResMT Workshop at ACL 2024. 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 on 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 (NMT) for low-resource languages
- Use of LLMs (large language models) for low-resource MT systems
- COVID-related corpora, their translations and corresponding NLP/MT systems
- 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 on 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 2024 style templates. Accepted papers will be published online in the ACL 2024 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 ACL 2024. 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://2024.aclweb.org/).
ORGANIZING COMMITTEE (LISTED ALPHABETICALLY)
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
PROGRAM COMMITTEE (LISTED ALPHABETICALLY)
Abigail Walsh, ADAPT Centre, Dublin City University, Ireland
Alberto Poncelas, Rakuten, Singapore
Alina Karakanta, Leiden University
Amirhossein Tebbifakhr, Fondazione Bruno Kessler
Anna Currey, Amazon Web Services
Aswarth Abhilash Dara, Amazon
Arturo Oncevay, University of Edinburgh
Atul Kr. Ojha, DSI, University of Galway & Panlingua Language Processing LLP
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
Jindřich Libovicky, Charles University
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
Nathaniel Oco, De La Salle University (Philippines)
Rajdeep Sarkar, Yahoo
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
Shantipriya Parida, Silo AI
Sunit Bhattacharya, Charles University
Surafel Melaku Lakew, Amazon AI
Wen Lai, Center for Information and Language Processing, LMU Munich
Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University
CONTACT
Please email loresmt@googlegroups.com if you have any questions/comments/suggestions.