Dear all,

Apologies for cross-posting. You are requested to please circulate it for wider publicity. .................................................................................................................................

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The 5th Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2022) https://sites.google.com/view/loresmt @ COLING 2022 Gyeongju, Republic of Korea, October 12-17, 2022

SUBMISSION https://www.softconf.com/coling2022/LoResMT_2022/

TIMELINE Papers Due: July 18, 2022 (Monday) Notification of Acceptance: August 22, 2022 (Monday) Camera-ready papers due: September 5, 2022 (Monday) Conference date: October 12-17, 2022

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/), and AMTA 2021, we introduce the Fifth LoResMT workshop at COLING 2022. 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.

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.

- 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

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 COLING 2022 style templates (LaTeX, Word, Overleaf). Accepted papers will be published online in the COLING 2022 proceedings and will be presented at the conference.

Submissions must be anonymized and should be done using the official conference management system ( https://www.softconf.com/coling2022/LoResMT_2022/). 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.

Registration is handled by the main conference ( https://coling2022.org/coling).

ORGANIZING COMMITTEE (LISTED ALPHABETICALLY)

Atul Kr. Ojha, DSI, National University of Ireland 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)

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 Atul Kr. Ojha, DSI, National University of Ireland Galway & Panlingua Language Processing LLP Bharathi Raja Chakravarthi, DSI, National University of Ireland Galway Beatrice Savold, University of Trento Bogdan Babych, Heidelberg University Chao-Hong Liu, Potamu Research Ltd Duygu Ataman, University of Zurich Ekaterina Vylomova, University of Melbourne, Australia 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, National University of Ireland Galway Liangyou Li, Noah’s Ark Lab, Huawei Technologies Maria Art Antonette Clariño, University of the Philippines Los Baños Mathias Müller, University of Zurich Nathaniel Oco, National University (Philippines) Rico Sennrich, University of Zurich Sangjee Dondrub, Qinghai Normal University Santanu Pal, WIPRO AI Sardana Ivanova, University of Helsinki Shantipriya Parida, Silo AI Sina Ahmadi, DSI, National University of Ireland Galway Sunit Bhattacharya, Charles University Surafel Melaku Lakew, Amazon AI Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University

CONTACT

Please email loresmt@googlegroups.com if you have any questions/comments/suggestions.

Thanks, Atul