Apologies for cross-posting ---------------------------------
The Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023) https://www.loresmt.org/ @ EACL 2023 (May 2–6, 2023) Valamar Lacroma Dubrovnik Hotel, Iva Dulčića 34, 20000, Dubrovnik, Croatia
SUBMISSION
https://softconf.com/eacl2023/LoResMT2023
TIMELINE
Paper due: February 22, 2023, at 23:59 (Anywhere on Earth) Notification of acceptance: March 20, 2023 Camera-ready papers due: March 27, 2023 Conference dates: May 2-6, 2023
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, 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.
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 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.
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)
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 Rajdeep Sarkar, Univerity of Galway 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 Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø 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.