Fwd: Call for Papers - 16th International Conference on Human System Interaction HSI 2024 – Special Session on Machine Translation for Low-Resource Languages and Domains - July 8 -11, 2024

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Salima Harrat

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Apr 22, 2024, 8:34:51 AM4/22/24

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De : SEMMAR Nasredine
Envoyé : samedi 20 avril 2024 19:03
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Objet : Call for Papers - 16th International Conference on Human System Interaction HSI 2024 – Special Session on Machine Translation for Low-Resource Languages and Domains - July 8 -11, 2024
Importance : Haute
Critère de diffusion : Confidentiel

16th International Conference on Human System Interaction HSI 2024 – July 8-11, 2024

Special Session on Machine Translation for Low-Resource Languages and Domains

CALL FOR PAPERS

In the context of a globalizing world, accurate Machine Translation (MT) systems are becoming indispensable engines for breaking the language barriers between countries. MT systems alongside the Internet are becoming major solutions that companies will rely on for promoting their products across borders, enabling them to get in touch with customers and understand their feedback (sentiment, opinion, etc.) regardless of their native language. However, building an accurate MT system for any pair of languages requires substantial resources and knowledge for modelling both languages. For instance, many years of expert work are required to add a new language pair to a rule-based MT system, which is, despite the long history of this approach, one reason why at present only a very limited number of language pairs are covered, and these tend to comprise only the most common languages. On the other hand, there are Statistical MT (SMT) systems (of which the example-based systems are a variant) and Neural MT (NMT) systems, which try to learn how to translate by analyzing the translation patterns found in large collections of human translations. As the statistical and neural algorithms used in these systems are largely language-independent, they can be quickly adapted to new language pairs. The amount of research that has been devoted to Statistical MT and Neural MT has led to some important achievements and improvements for certain pairs of languages. However, the current state of MT systems for low-resource languages and domains has not reached the required quality in order to be used at a large scale. Indeed, the creation of MT systems is more complex as (1) the usage and meanings of words are adapted and modified in the language of specialized domains and genres, and (2) languages evolve over time—new topics and disciplines require the creation or borrowing (e.g., from English) of new terms, with other terms becoming obsolete. In addition, statistical MT and neural MT do not work well for morphologically rich languages, unless the amount of training data is very large.

The objective of this Special session is to promote research and discussion, as well as reflect on, the latest advances and findings especially related to the use of advanced deep neural models to address neural machine translation issues. This Special session welcomes researchers and practitioners from industry and academia to contribute original research work developed using recent technologies such as Deep Learning and Artificial Intelligence to handle machine translation for low-resource languages and domains.

Topics include but are not limited to:

- General research on Machine Translation (MT)

- Transfer-learning techniques for low-resource languages MT (use of multilingual, pre-trained models, unsupervised, semi-supervised, zero-shot, few-shot training, etc.)

- MT for low-resource languages and domains with Large Language Models

- MT for morphologically rich languages

- MT for low resource languages

- MT for specialized domains

- Measuring MT quality

- Taking multiword expressions into account in MT

- Semantics-based MT

- Real time MT

- Hybrid approaches for MT

- MT for endangered low-resource languages

- Multimodal MT

- MT for code-switching input

- Self-supervised MT

Organizers:

Nasredine Semmar, CEA (France) <nasredin...@cea.fr>

Fatiha Sadat, UQAM (Canada) <sadat....@uqam.ca>

Hassane Essafi, CEA (France) <hassane...@cea.fr>

DEADLINES

Paper submission: April 30, 2024

Notification of acceptance: May 15, 2024

Camera ready paper: June 1, 2024

Conference dates: July 08-11, 2024

PAPER SUBMISSION GUIDELINES

Please submit a full paper up to 6 pages (IEEE Computer Society Proceedings Manuscripts style: two columns, single-spaced), including figures and references. At most, 2 extra pages are allowed with an additional fee. You can check the IEEE Proceedings Author Guidelines at

https://www.ieee.org/conferences/publishing/templates.html

To submit, please click on: https://confcomm.ieee-ies.org/app/general/conferences/HSI24/initial-submission

CONFERENCE & POST CONFERENCE PUBLICATIONS

All papers presented during the conference will be submitted to IEEE Xplore. The papers of conference series will be also submitted for indexing by Web of Science and Scopus. See: http://ieeexplore.ieee.org/servlet/opac?punumber=1002118

CONTACT INFORMATION

Institut Polytechnique de Paris / Telecom SudParis

Department of Electronics and Physics

19 Place Marguerite Perey, 91120 Palaiseau, France

Phone: +33 1 75 31 44 53 / +33 6 83 70 12 89, e-mail: hsi...@telecom-sudparis.eu

See you in Paris two weeks before the Olympics!

More information: http://hsi2024.welcometohsi.org

Nasredine SEMMAR

CEA Saclay Nano-INNOV

Laboratoire Analyse Sémantique Texte et Image (LASTI)

Bât. 861 - PC 173

F-91191 Gif-sur-Yvette Cedex