-- Apologies for cross posting --
The First Workshop on Corpus Generation and Corpus Augmentation for
Machine Translation (CoCo4MT)
https://sites.google.com/view/coco4mt
@ AMTA – 2022
This 15th biennial conference of the Association for Machine Translation
in the Americas
12-16 September 2022, Orlando, Florida, USA
INVITED TALKS
Julia Kreutzer Google Research
More TBA...
SCOPE
It is a well-known fact that machine translation systems, especially
those that use deep learning, require massive amounts of data. Several
resources for languages are not available in their human-created format.
Some of the types of resources available are monolingual, multilingual,
translation memories, and lexicons. Those types of resources are
generally created for formal purposes such as parliamentary collections
when parallel and more informal situations when monolingual. The quality
and abundance of resources including corpora used for formal reasons is
generally higher than those used for informal purposes. Additionally,
corpora for low-resource languages, languages with less digital
resources available, tends to be less abundant and of lower quality.
CoCo4MT sets out to be the first workshop centered around research that
focuses on corpora creation, cleansing, and augmentation techniques
specifically for machine translation. We accept work that covers any
spoken language (including high-resource languages) but we are
specifically interested in those submissions that are on languages with
limited existing resources (low-resource languages) where resources are
not highly available.
The goal of this workshop is to begin to close the gap between corpora
available for low-resource translation systems and promote high-quality
data for online systems that can be used by native speakers of
low-resource languages is of particular interest. Therefore, It will be
beneficial if the techniques presented in research papers include their
impact on the quality of MT output and how they can be used in the real
world.
CoCo4MT aims to encourage research on new and undiscovered techniques.
We hope that submissions will provide high-quality corpora that is
available publicly for download and can be used to increase machine
translation performance thus encouraging new dataset creation for
multiple languages that will, in turn, provide a general workshop to
consult for corpora needs in the future. The workshop’s success will be
measured by the following key performance indicators:
- Promotes the ongoing increase in quality of machine translation
systems when measured by standard measurements,
- Provides a meeting place for collaboration from several research areas
to increase the availability of commonly used corpora and new corpora,
- Drives innovation to address the need for higher quality and abundance
of low-resource language data.
TOPICS
We are highly interested in original research papers on the topics
below; however, we welcome all novel ideas that cover research on
corpora techniques.
- Difficulties with using existing corpora (e.g., political
considerations or domain limitations) and their effects on final MT
systems,
- Strategies for collecting new MT datasets (e.g., via crowdsourcing),
- Data augmentation techniques,
- Data cleansing and denoising techniques,
- Quality control strategies for MT data,
- Exploration of datasets for pretraining or auxiliary tasks for
training MT systems.
SUBMISSION INFORMATION
There is one type of submission in the workshop: Research, review and
position paper. The length of each paper should be at least four (4) and
not exceed ten (10) pages, plus unlimited pages for references.
Submissions should be formatted according to the official AMTA 2022
style templates (PDF, LaTeX, Word). Accepted papers will be published
on-line in the AMTA 2022 proceedings which includes the ACL Anthology
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/AMTA2022). 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
CoCo4MT. 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 will be handled by the main conference. (To be announced)
IMPORTANT DATES
June 1, 2022 – Call for papers released
June 15, 2022 – Second call for papers
July 29, 2022 – Third and final call for papers
July 13, 2022 – Paper submissions due
July 27, 2022 – Notification of acceptance
August 7, 2022 – Camera-ready due
August 31, 2022 – Video recordings due
September 16, 2022 - CoCo4MT workshop
CONTACT
CoCo4MT Workshop Organizers
[email protected]
ORGANIZING COMMITTEE (listed alphabetically)
Constantine Lignos Brandeis University
John E. Ortega New York University and University of Santiago de
Compostela (CITIUS)
Katharina Kann University of Colorado Boulder
Maja Popopvić ADAPT Centre at Dublin City University
Marine Carpuat University of Maryland
Shabnam Tafreshi University of Maryland
William Chen Carnegie Mellon University
PROGRAM COMMITTEE (listed alphabetically tentative)
Abteen Ebrahimi University of Colorado Boulder
Adelani David Saarland University
Ananya Ganesh University of Colorado Boulder
Alberto Poncelas ADAPT Centre at Dublin City University
Amirhossein Tebbifakhr University of Trento
Anna Currey Amazon
Arturo Oncevay University of Edinburgh
Atul Kr. Ojha National University of Ireland Galway
Bharathi Raja Chakravarthi National University of Ireland Galway
Beatrice Savoldi University of Trento
Bogdan Babych Heidelberg University
Briakou Eleftheria University of Maryland
Dossou Bonaventure Mila Quebec AI Institute
Duygu Ataman New York University
Eleni Metheniti Université Toulosse - Paul Sabatier
Francis Tyers Indiana University
Jasper Kyle Catapang University of Birmingham
John E. Ortega New York University and USC - CITIUS
Kalika Bali Microsoft
Koel Dutta Chowdhury Saarland University
Liangyou Li Huawei
Manuel Mager University of Stuttgart
Maria Art Antonette Clariño University of the Philippines Los Baños
Mathias Müller University of Zurich
Nathaniel Oco De La Salle University
Niu Xing Amazon
Rico Sennrich University of Zurich
Sangjee Dondrub Qinghai Normal University
Santanu Pal Saarland University
Sardana Ivanova University of Helsinki
Shantipriya Parida Silo AI
Surafel Melaku Lakew Amazon
Tommi A Pirinen University of Tromsø
Valentin Malykh Moscow Institute of Physics and Technology
Xu Weijia University of Maryland
