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NLP
COMPUTATIONAL LINGUISTICS
ARTIFICIAL INTELLIGENE
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Call for Papers |
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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 [email protected] if you have any questions/comments/suggestions. |
Summary |
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LoResMT 2024 : The Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages will take place in Bangkok, Thailand. It’s a 1 day event starting on Aug 15, 2024 (Thursday) and will be winded up on Aug 15, 2024 (Thursday). LoResMT 2024 falls under the following areas: NLP, COMPUTATIONAL LINGUISTICS, ARTIFICIAL INTELLIGENE, etc. Submissions for this Workshop can be made by May 17, 2024. Authors can expect the result of submission by Jun 17, 2024. Upon acceptance, authors should submit the final version of the manuscript on or before Jul 1, 2024 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the LoResMT 2024
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Credits and Sources |
| [1] LoResMT 2024 : The Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages |
