NEWS

INVITED SPEAKERS

  • Barry Haddow, Aveni and University of Edinburgh, “MT for low-resource languages: progress and open problems”

  • Catherine Muthoni Gitau, African Institute for Mathematical Sciences, "Challenges and Advances in MT Systems for African Languages"

  • Mathias Müller, Institut für Computerlinguistik, Universität Zürich, “On Meaningful Evaluation of Machine Translation Systems”

  • Mona Diab, Facebook, George Washington University, "Trustworthy human evaluation frameworks for MT "

TIMELINE


March 25, 2021 – Call for papers released

May 04, 2021 – Second call for papers

May 20, 2021 – Third call for papers

June 17, 2021 July 01, 2021 – Paper submissions due

July 15, 2021 – Notification of acceptance

July 22, 2021 – Camera-ready due

August 5, 2021 – Video recordings due

August 16, 2021 - LoResMT workshop

SCOPE


Based on the success of past low-resource machine translation (MT) workshops at AACL-IJCNLP 2020 (http://aacl2020.org/), MT Summit 2019 (https://www.mtsummit2019.com) and AMTA 2018 (https://amtaweb.org/), we introduce the fourth LoResMT workshop at MT Summit 2021. Like its predecessors, this workshop will bring together researchers and translators of low-resource languages to compare and contrast how each use digital technology for translation. Specifically, the workshop focuses on novel advances on the coverage of even more languages than past workshops with different geographical presence, degree of diffusion and digitalization.


We solicit original work on low-resource translation which includes, but is not limited to, MT systems that include word tokenizers/de-tokenizers, word segmenters, morphological analyzers, and more. We furthermore invite work that includes MT systems based on neural networks along with their methods, natural language processing approaches, and overall coverage of low-resource languages. Additionally, novel work covering translations of COVID-related text and their practical use for low-resource communities are of high interest.


The goal of this workshop is to begin to close the gap between low-resource translation systems and their practical use in the real world. Online systems and original research that can be used by native speakers of low-resource languages is of particular interest. Therefore, It will be beneficial if the evaluations of these tools in research papers include their impact on the quality of MT output and how they can be used in the real world.

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 MT Summit 2021 style templates (PDF, LaTeX, Word). Accepted papers will be published on-line in the MT Summit 2021 proceedings and will be presented at the conference either orally or as a poster.


Submissions must be anonymized and should be done using the official conference management system (https://cmt3.research.microsoft.com/MTSUMMIT2021). 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 (http://mtsummit2021.amtaweb.org/).

SHARED TASKS

We are happy to announce the introduction of new shared tasks focused on the building of MT systems for COVID-related texts. The task aims to encourage research on MT systems involving three low-resource language pairs:

(1) Taiwanese Sign Language <> Traditional Chinese
(2) English <> Irish
(3) English <> Marathi

The training, development, and test sets for the three groups will be released shortly (please see the important dates). Updated information will be available on the LoResMT website (https://sites.google.com/view/loresmt/) and in the Google Group (https://groups.google.com/g/loresmt2021/).

Important Dates for the Shared Tasks

May 10, 2021: Release of training data
July 01, 2021: Release of test data
July 13, 2021: Submission of the systems
July 20, 2021: Notification of results
July 27, 2021: Submission of shared task papers
August 01, 2021: Camera-ready

August 5, 2021 – Video recordings due

August 16, 2021 - LoResMT workshop

Contact

Atul Kr. Ojha (atulkumar.ojha@insight-centre.org), for inquiries on Marathi and Irish MT tasks
Chao-Hong Liu (ch.liu@acm.org), for inquiries on Sign Language MT task
Katharina Kann (katharina.kann@colorado.edu), for general inquiries

ORGANIZING COMMITTEE (LISTED ALPHABETICALLY)


Atul Kr. Ojha, DSI, National University of Ireland Galway & Panlingua Language Processing LLP

Chao-Hong Liu, Potamu Research Ltd

Jade Abbott, Retro Rabbit

John Ortega, New York University

Jonathan Washington, Swarthmore College

Katharina Kann, University of Colorado at Boulder

Nathaniel Oco, National University (Philippines)

Surafel Melaku Lakew, Amazon AI

Tommi A Pirinen, University of Hamburg

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, ADAPT, Dublin City University

Alina Karakanta, Fondazione Bruno Kessler

Amirhossein Tebbifakhr, Fondazione Bruno Kessler

Anna Currey, Amazon Web Services

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

Eleni Metheniti, CLLE-CNRS and IRIT-CNRS

Francis Tyers, Indiana University

Kalika Bali, MSRI Bangalore, India

Katharina Kann, University of Colorado at Boulder

Koel Dutta Chowdhury, Saarland University (Germany)

Jasper Kyle Catapang, University of the Philippines

John P. McCrae, DSI, National University of Ireland Galway

John Ortega, New York University

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)

Priya Rani, DSI, National University of Ireland Galway

Rico Sennrich, University of Zurich

Sangjee Dondrub, Qinghai Normal University

Santanu Pal, WIPRO AI

Sardana Ivanova, University of Helsinki

Shabnam Tafreshi, University of Maryland

Shantipriya Parida, Idiap Research Institute

Sina Ahmadi, DSI, National University of Ireland Galway

Sunit Bhattacharya, Charles University

Surafel Melaku Lakew, Amazon AI

Tommi A Pirinen, University of Hamburg

Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University

Vlad Tyshkevich, Brooklyn College, City University of New York

CONTACT


LoResMT 2021 Workshop Chair:


John Ortega (jortega@cs.nyu.edu)


Shared Task Chairs:


Atul Kr. Ojha (atulkumar.ojha@insight-centre.org), for inquiries on Marathi and Irish MT tasks

Chao-Hong Liu (ch.liu@acm.org), for inquiries on Sign Language MT task

Katharina Kann (katharina.kann@colorado.edu), for general inquiries


REGISTRATION

http://mtsummit2021.amtaweb.org/