The
Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)

https://www.loresmt.org/

@
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.