[Apologies for multiple posting]

The deadline for MMTLRL has been extended until 15th July.


Call For Papers:: MMTLRL-2021@RANLP-2021

*First Workshop on Multimodal Machine Translation for Low Resource
Languages (MMTLRL-2021)*

Language does not exist in a vacuum. Yet, for a long time, large parts of
NLP have focused on text- (or speech-) only scenarios: most work on machine
translation (MT) e.g. is on text-to-text MT. In principle, the inclusion of
additional context in the form of other modalities offers the promise of
improving a translation. In practice, this is often hard (Lala et al. 2017,
Elliott 2018). In this workshop, we would like to combine two strands of
research that are hitherto not well connected: research on low-resource MT
and research on multi-modal MT (MMMT). While there has been important
progress on both sides, including unsupervised (Artetxe et al. 2018, Lample
et al. 2018) and self-supervised MT (Ruiter et al. 2019); and
neural-network-based modality combinations in MMMT (Çağlayan et al. 2019),
the potential of mustering information in other modalities (such as images,
videos and spoken language) to complement the text signal in low-resource
MT has not yet been explored extensively. However, a combination may hold
promise: a richer multimodal signal may help address some of the challenges
that come with low-resource scenarios. Of course, there are no guarantees:
a richer multimodal signal and with it an increase in the dimensionality of
the data may make the problem worse.


*CALL FOR PAPERS*

We invite original contributions describing the latest trends, developments
and solutions. Topics of interest include, but are not limited to:

   -

   Data harvesting and preparation for low resource MMMT
   -

   Multimodality and its impact on machine translation
   -

   MMMT for low resource scenarios
   -

   Neural approaches towards multimodal machine translations
   -

   Speech and Visual modalities for MMMT
   -

   Multimodal quality estimation
   -

   Multilingual MMMT
   -

   Multimodal attention
   -

   Evaluation of MMMT


*SUBMISSION GUIDELINES*

All papers must be submitted in PDF format through the conference
management system at *https://www.softconf.com/ranlp2021/MMTLRL2021/*
<https://www.google.com/url?q=https%3A%2F%2Fwww.softconf.com%2Franlp2021%2FMMTLRL2021%2F&sa=D&sntz=1&usg=AFQjCNFtl7So4Ij_por-Za4irE9wX-AwMw>
. The papers should follow the format of the main conference, described at
the main RANLP website, Submission Guidelines Section.

*Full Papers* must describe original unpublished work in any topic area of
the workshop. Full papers are limited to 8 pages for content, with 2
additional pages for references.

*Short Papers* may describe either work in progress or a research proposal.
They may also be in the style of a position paper that surveys and
criticizes existing literature. Short papers must include clear directions
for future research. Submissions of this type are limited to 6 pages for
content, with 2 additional pages for references.


*DOUBLE SUBMISSION*

Authors may submit the same paper at several conferences. In this case,
they must notify the organizers by filling in the corresponding information
in the submission form, as well as notifying the contact organizer by
e-mail.


*IMPORTANT DATES*

   -
      -

      Workshop paper submission deadline: 15 July 2021
      -

      Workshop paper acceptance notification: 15 August 2021
      -

      Workshop paper camera-ready versions: 31 August 2021
      -

      Workshop video presentations due: 31 August 2021
      -

      Workshop camera-ready proceedings ready: 5 September 2021
      -

      Workshops: 7 September 2021
      -

KEYNOTE SPEAKERS

   - Lucia Specia, Imperial College London, England
   - Marine Carpuat, University of Maryland, USA


ORGANIZERS

   - Thoudam Doren Singh, NIT Silchar, India
   - Cristina España-Bonet, DFKI, Germany
   - Sivaji Bandyopadhyay, NIT Silchar, India
   - Josef Van Genabith, DFKI and Universität des Saarlandes, Germany


TECHNICAL PROGRAMME COMMITTEE (Alphabetically ordered on last name)

   - David Ifeoluwa Adelani, Universität des Saarlandes, Germany
   - Loïc Barrault, University of Sheffield
   - Pushpak Bhattacharyya, IIT Bombay, India
   - Koel Dutta Chowdhury, Universität des Saarlandes, Germany
   - Marta R. Costa-jussà, Universitat Politècnica de Catalunya, Spain
   - Alexander Fraser, LMU Munich, Germany
   - Julia Kreutzer, Google
   - Gorka Labaka, University of the Basque Country (UPV/EHU), Spain
   - Pranava Madhyastha, Imperial College London, England
   - Vukosi Marivate, University of Pretoria, South Africa
   - Loitongbam Sanayai Meetei, National Institute of Technology Silchar,
   India
   - Preslav Nakov, Qatar Computing Research Institute, HBKU
   - Shantipriya Parida, Idiap Research Institute, Switzerland
   - Alok Singh, National Institute of Technology Silchar, India
   - Salam Michael Singh, National Institute of Technology Silchar, India
   - Xabier Soto, University of the Basque Country (UPV/EHU), Spain
   - Jörg Tiedeman, University of Helsinki, Finland
   - Deyi Xiong, Tianjin University, China
   - Jingyi Zhang, DFKI, Germany


To contact the organizers, you can email at: *mmtlrl2...@gmail.com
<mmtlrl2...@gmail.com>*

MMTLRL-2021 Website: https://sites.google.com/view/mmtlrl-2021/home

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