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Today's Topics:
1. Call for Papers for the 3rd Workshop on Automatic
Simultaneous Translation co-located with NAACL-HLT 2022 (Qun Liu)
2. Final CFP: 6th Workshop on Indian Language Data: Resources
and Evaluation (WILDRE-6) @ LREC 2022 (Atul Kr. Ojha)
----------------------------------------------------------------------
Message: 1
Date: Fri, 8 Apr 2022 18:12:25 +0800
From: Qun Liu <liuquncn@gmail.com>
To: moses-support@mit.edu
Subject: [Moses-support] Call for Papers for the 3rd Workshop on
Automatic Simultaneous Translation co-located with NAACL-HLT 2022
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<CAM4-C-TRCw3J=C8Om40_-DNJZ54g=VQWsVS3OWpsJqbtV+Nimw@mail.gmail.com>
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*Call for Papers for the 3rd Workshop on Automatic Simultaneous Translation*
We are pleased to announce the call for papers for the 3rd workshop on
Automatic Simultaneous Translation co-located with NAACL 2022,
https://autosimtrans.github.io [1] [1].
More details on the workshop, including topics of interest, important
deadlines, instructions for authors and shared tasks are below:
Simultaneous translation, which performs translation concurrently with the
source speech, is widely useful in many scenarios such as international
conferences, negotiations, press releases, legal proceedings, and medicine.
It combines the AI technologies of machine translation (MT), automatic
speech
recognition (ASR), and text-to-speech synthesis (TTS) and is rapidly
becoming
a cutting-edge research field. As an emerging and interdisciplinary field,
simultaneous translation faces many great challenges.
To promote the development in this field, we held the first and the second
workshop on simultaneous translation at ACL 2020 and NAACL 2021
respectively.
We attracted 94 registered participants in 2020 and 96 registered
participants in 2021. The 3rd workshop will bring together researchers and
practitioners in machine translation, speech processing, and human
interpretation, to discuss recent advances and open challenges of
simultaneous translation.
Possible topics include but are not limited to:
* Simultaneous translation paradigms: traditional pipeline (ASR-MT-TTS) or
end-to-end (speech-speech);
* Translation models: robust, high quality, and low latency;
* Data resources: large and high-quality corpora for training simultaneous
translation systems.
* Evaluation methods: metrics to evaluate the translation quality and time
latency;
* Computer Aided Interpretation (CAI): improve the efficiency and quality
of
human interpreters.
The workshop will also explore challenges for developing practical
simultaneous translation systems and will provide opportunities for
participants to show their products.
We introduce three submission tracks in this workshop:
* *Research track* for research papers;
* *Highlights track* for research papers accepted elsewhere (non-archival
submission);
* *Shared task track* for systems description papers in the shared task.
*Important Dates*
/Shared Task/
Registration and Release of data: March 7th, 2022
End of registration: April 30th, 2022
System Submission: May 1st, 2022
System Description Due: May 14th, 2022
Notification of Acceptance: June 1st, 2022
Camera-ready Papers Due: June 16th, 2022
/Papers/
Submission Deadline: May 1st, 2022 (all the three tracks: research,
non-archival highlights and shared task)
Notification of Acceptance: June 1st, 2022
Camera-ready Papers Due: June 16th, 2022
Workshop: TBD 2022
*Instruction for authors*
Our AutoSimTrans Workshop follows the submission policy and format policy of
NAACL 2022 Submission Guidelines that are posted under PAPER SUBMISSION
INFORMATION on ACL Rolling Review https://aclrollingreview.org/cfp [2] [2]
page with respect to author guidelines, templates, double blind review,
ethics and referencing prior work.
There are two formats: long papers (8 pages content plus unlimited
references) and short papers (4 pages contect plus unlimited references).
Authors can also upload a separate appendix of unlimited length, which is
optional for the reviewers. The final versions of both long and short papers
will be given one extra page of content to address reviewers comments.
/Non-Archival Submission/
We allow dual submission of work to be presented in the Highlights track.
Please submit to the relevant track. These papers will not be included in
the
official proceedings.
/System Description Paper Submission/
For those who participate in the shared task, you are encouraged (though not
required) to submit a system description paper of 4 to 8 pages of content
plus unlimited references to AutoSimTrans to describe your system.
Please submit via OpenReview:
https://openreview.net/group?id=aclweb.org/NAACL/2022/Workshop/AutoSimTrans
[3] [3]
*Shared Task Submission*
We are organizing a simultaneous translation shared task in two directions
with different input modes: (a) Chinese-to-English with streaming
transcription as input, (b) Chinese-to-English with speech audio as input,
and (c) English-to-Spanish with streaming transcription as input.
There are three competitions in total. We will provide open datasets and an
evaluation environment. Participants are encouraged (though not required) to
submit their system description papers and present them at the Workshop.
For more details, please refer to the Shared Task information at
https://autosimtrans.github.io/shared [4] [4].
[1] https://autosimtrans.github.io [5]
[2] https://aclrollingreview.org/cfp [6]
[3]
https://openreview.net/group?id=aclweb.org/NAACL/2022/Workshop/AutoSimTrans
[7]
[4] https://autosimtrans.github.io/shared [8]
Read more:
https://www.aclweb.org/portal/content/call-papers-3rd-workshop-automatic-simultaneous-translation-co-located-naacl-hlt-2022
[1] https://autosimtrans.github.io
[2] https://aclrollingreview.org/cfp
[3]
https://openreview.net/group?id=aclweb.org/NAACL/2022/Workshop/AutoSimTrans
[4] https://autosimtrans.github.io/shared
[5] https://autosimtrans.github.io
[6] https://aclrollingreview.org/cfp
[7]
https://openreview.net/group?id=aclweb.org/NAACL/2022/Workshop/AutoSimTrans
[8] https://autosimtrans.github.io/shared
--
?????/???/??
???????????
???liuquncn@gmail.com
???http://liuquncn.github.io
?????https://weibo.com/liuqunmttodeath
?????https://scholar.google.com/citations?user=2HhiGzcAAAAJ
---
LIU Qun, Dr. / Researcher / Professor
Natural Language Processing, Machine Translation
Email: liuquncn@gmail.com
Website: http://liuquncn.github.io
Twitter: https://twitter.com/LiuQunMTtoDeath
Publications: https://scholar.google.com/citations?user=2HhiGzcAAAAJ
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Message: 2
Date: Fri, 8 Apr 2022 12:54:17 +0100
From: "Atul Kr. Ojha" <shashwatup9k@gmail.com>
To: mt-list@eamt.org, moses-support <moses-support@mit.edu>,
open-linguistics@googlegroups.com
Subject: [Moses-support] Final CFP: 6th Workshop on Indian Language
Data: Resources and Evaluation (WILDRE-6) @ LREC 2022
Message-ID:
<CACvVY2hH_8e2EYMSPqB906ST_oVzu28i79w5r80fr21J6mLUZw@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
Dear all,
Apologies for cross-posting. you are requested to please circulate it for
wider publicity...
....................................................................................................................................
6th Workshop on Indian Language Data: Resources and Evaluation (WILDRE)
<http://sanskrit.jnu.ac.in/conf/wildre6>
Date: Monday, 20th June 2022 (afternoon session)
Venue: Palais du Pharo, Marseille, France (Organized under LREC 2022 (20-25
June 2022) <https://lrec2022.lrec-conf.org/en/>)
*Deadline extension: 18 April 2022*
Website: http://sanskrit.jnu.ac.in/conf/wildre
<http://sanskrit.jnu.ac.in/conf/wildre6>6
WILDRE-6, the 6th Workshop on Indian Language Data: Resources and
Evaluation is proposed to be organized in Marseille (France) on 20th June
2022 under the LREC platform. India has a huge linguistic diversity and has
seen concerted efforts from the Indian government and industry for
developing language resources. European Language Resource Association
(ELRA) and its associate organizations have been very active and successful
in addressing the challenges and opportunities related to language resource
creation and evaluation. It is therefore a big opportunity for resource
creators of Indian languages to showcase their work on this platform and
also to interact and learn from those involved in similar initiatives all
over the world. The broader objectives of the WILDRE will be
-
To map the status of Indian Language Resources
-
To investigate challenges related to creating and sharing various levels
of language resources
-
To promote a dialogue between language resource developers and users
-
To provide an opportunity for researchers from India to collaborate with
researchers from other parts of the world
Dates for Short/Long papers and Posters and Demos
*April 18, 2022*: Paper submissions due
May 03, 2022: Paper notification acceptance
May 23, 2022: Camera-ready papers due
June 20, 2022: Workshop
SUBMISSIONS
Papers must describe original, completed/ in progress and unpublished work.
Each submission will be reviewed by three program committee members.
Accepted papers will be given up to 10 pages (for full papers) 5 pages (for
short papers and posters) in the workshop proceedings, and will be
presented as oral papers or posters.
Papers should be formatted according to the LREC style-sheet, which is
provided on the LREC 2022 website (
http://lrec2022.lrec-conf.org/en/submission/authors-kit/). Please submit
papers in PDF format to the LREC website
<https://www.softconf.com/lrec2022/WILDRE-6/>.
We are seeking submissions under the following category
-
Full papers (10 pages)
-
Short papers (work in progress: 5 pages)
-
Posters (innovative ideas/proposals, research proposals of students)
-
Demo (of working online/standalone systems)
WILDRE-6 will have a special focus on Demos of Indian Language Technology.
In the past few years, as more resources have been developed and made
available, there has been increased activity in developing usable
technology using these. WILDRE-6 would like to encourage and widen the Demo
track to allow the community to showcase their demos and have mutually
beneficial interactions with each other as well as resource developers.
WILDRE-6 is seeking full, short papers, posters and demos on the following
topics related to Indian Language Resources:
-
Digital Humanities, heritage computing
-
Corpora - text, speech, multimodal, methodologies, annotation and tools
-
Lexicons and Machine-readable dictionaries
-
Ontologies, Grammars
-
Language resources for NLP/ IR/Speech tasks, tools and Infrastructure
for language resources
-
Standards or specifications for language resources application
-
Licensing and copyright issues
-
Data mining
-
Text summarization
Both submission and review processes will be handled electronically. The
review process will be double-blind. The workshop website will provide the
submission guidelines and the link for the electronic submission.
When submitting a paper from the START page, authors will be asked to
provide essential information about resources (in a broad sense, i.e. also
technologies, standards, evaluation kits, etc.) that have been used for the
work described in the paper or are a new result of your research. Moreover,
ELRA encourages all LREC authors to share the described LRs (data, tools,
services, etc.), to enable their reuse, replicability of experiments,
including evaluation ones, etc.
For further information on this initiative, please refer to
http://lrec2022.lrec-conf.org/en
*Shared Tasks:*
The Sixth Workshop on Indian Language Data: Resources and Evaluation (WILDRE
-6) <http://sanskrit.jnu.ac.in/conf/wildre6/index.jsp> at LREC-2022 will
include two shared tasks on (a) Speech Technologies for Under-resourced
Indian Languages (SpeechTech-IL) and (b) Universal Dependency based
Morpho-Syntactic Parsing in Indian Languages (UDParse-IL).
(a) Speech Technologies for Under-resourced Indian Languages (SpeechTech-IL)
Neural or deep learning techniques are currently being applied in
state-of-the-art automated systems that report significant performance
improvements, but typically require a large amount of high-quality data.
However, in order to advance Automatic Speech Recognition (ASR) and
Text-to-Speech (TTS) systems for low resource languages, the
zero-shot/unsupervised approach is one notable development in Neural
learning that builds ASR/TTS systems for languages where the size of audio
and/or transcribed speech data may be small or even non-existent. In this
shared task, we will solicit participants to submit novel zero-shot (or
similar methods) and/or linguistically-encoded features systems for
under-resourced Indian languages. The goal will be to ascertain the
effectiveness of the method implemented for language pairs as well as for
unseen similar languages. The languages are Hindi, Odia, Marathi and
Bhojpuri. In evaluation, participants will also get 2/3 surprise tests for
closely-related languages. The system(s) will be evaluated using WER,
precision, recall and F-score.
(b) Universal Dependency based Morpho-Syntactic Parsing in Indian Languages
(UDParse-IL)
The primary objective of the UDParse-IL task is to find notable techniques
for developing universal dependency parsers, especially when a language is
low-resourced. In this task, the participants will be provided with
training, development and testing datasets annotated with dependency
relations in 10 Indian Languages - Bhojpuri, Hindi (including Hindi-English
code switched), Marathi, Sanskrit, Tamil, Telugu, Urdu, Punjabi, and Magahi
- and we will solicit participants to submit systems based on novel
zero/few-shot (or other cross-lingual and multilingual) similar methods for
these low-resource Indian languages. All the languages included in this task,
with the exception of Hindi and Urdu, don?t have more than 1,350 annotated
sentences. The data of the first nine languages mentioned above will be
shared by UFAL, Charles University from the Universal Dependencies (UD)
repositories. We will provide test data and an evaluation platform to
evaluate the participant's developed parsers. The parsers will be evaluated
using LAS, UAS, precision, recall and F-score. One of the primary goals of
the task is to ascertain the effectiveness of the implemented methods for
unseen but closely-related languages, in addition to the languages for
which the training dataset is being provided. In order to do this, the test
data will include some surprise languages - the names of these
surprise/unseen test languages will be revealed at the test time itself and
a test set for these languages will be provided.
Shard Task Dates
Jan 31, 2022: Registration <https://forms.gle/B4ha4z4FtReuHrCS8>
Feb 09, 2022: Train and Validation Data set Release
April 15, 2022: Test Set Release
March 24, 2022: System Submission Due
April 08, 2022: System Results
April 18, 2022: System Description Paper Due
May 03, 2022: Paper notification of acceptance
May 23, 2022: Camera-ready papers due
Workshop Chairs
-
Girish Nath Jha, Jawaharlal Nehru University, India
-
Kalika Bali, Microsoft Research India Lab, Bangalore, India
-
Sobha L, AU-KBC, Anna University, Chennai, India
Workshop Organizing Committee
-
Girish Nath Jha, Jawaharlal Nehru University, India
-
Kalika Bali, Microsoft Research India Lab, Bangalore, India
-
Sobha L, AU-KBC, Anna University, Chennai, India
-
Atul Kr. Ojha, National University of Ireland, Galway, Ireland &
Panlingua Language Processing LLP, India
Shared Task Organizers
Atul Kr. Ojha, NUI Galway, Ireland and Panlingua Language Processing LLP
Aryaman Arora, Georgetown University
Akanksha Bansal, Panlingua Language Processing LLP
Esha Banerjee, Google USA
Ritesh Kumar, Agra University
Girish Nath Jha, JNU, New Delhi, India
Kalika Bali, Microsoft Research India
Manu Chopra, Karya Inc.
Sobha L., AU-KBC, India
Sourabrta Mukherjee, Panlingua Language Processing LLP & Charles
University, Prague
Swapnil, Goa University, Goa
Vivek Sheshadri, MSR, India
Program Committee (to be updated)
-
Adil Amin Kak, Kashmir University
-
Anil Kumar Singh, IIT BHU, Benaras
-
Anupam Basu, Director, NIIT, Durgapur
-
Anoop Kunchukuttan, Microsoft AI and Research, India
-
Arul Mozhi, University of Hyderabad
-
Asif Iqbal, IIT Patna, Patna
-
Atul Kr. Ojha, National University of Ireland Galway, Ireland &
Panlingua Language Processing LLP, India
-
Bharathi Raja Asoka Chakravarthi, National University of Ireland Galway,
Ireland
-
Bogdan Babych, Heidelberg University, Germany
-
Chao-Hong Liu, Potamu Research Ltd., Ireland
-
Claudia Soria, CNR-ILC, Italy
-
Dafydd Gibbon, Universit?t Bielefeld, Germany
-
Daan van Esch, Google, USA
-
Dan Zeman, Charles University, Prague, Czech Republic
-
Delyth Prys, Bangor University, UK
-
Dipti Mishra Sharma, IIIT, Hyderabad
-
Diwakr Mishra, Amazon-Bangalore, India
-
Dorothee Beermann, Norwegian University of Science and Technology (NTNU)
-
Elizabeth Sherley, IIITM-Kerala, Trivandrum
-
Esha Banerjee, Google, USA
-
Eveline Wandl-Vogt, Austrian Academy of Sciences, Austria
-
Georg Rehm, DFKI, Germany
-
Girish Nath Jha, Jawaharlal Nehru University, New Delhi
-
Jan Odijk, Utrecht University, The Netherlands
-
John P. McCrae, National University of Ireland Galway, Ireland
-
Jolanta Bachan, Adam Mickiewicz University, Poland
-
Joseph Mariani, LIMSI-CNRS, France
-
Jyoti D. Pawar, Goa University
-
Kalika Bali, MSRI, Bangalore
-
Khalid Choukri, ELRA, France
-
Lars Hellan, NTNU, Norway
-
M J Warsi, Aligarh Muslim University, India
-
Malhar Kulkarni, IIT Mumbai
-
Manji Bhadra, Bankura University, West Bengal
-
Marko Tadic, Croatian Academy of Sciences and Arts, Croatia
-
Massimo Monaglia, University of Florence, Italy
-
Monojit Choudhary, MSRI Bangalore
-
Narayan Choudhary, CIIL, Mysore
-
Nicoletta Calzolari, ILC-CNR, Pisa, Italy
-
Niladri Shekhar Dash, ISI Kolkata
-
Panchanan Mohanty, GLA, Mathura
-
Pinky Nainwani, Cognizant Technology Solutions, Bangalore
-
Pushpak Bhattacharya, IIT Mumbai
-
Rajeev R R, ICFOSS, Trivandrumv
-
Ritesh Kumar, Agra University
-
Shantipriya Parida, Silo AI
-
Vijay Kumar, TDIL, MEITY, Govt of India
-
S.S. Agrawal, KIIT, Gurgaon, India
-
Sachin Kumar, EZDI, Ahmedabad
-
Santanu Chaudhury, Director, IIT Jodhpur
-
Shivaji Bandhopadhyay, Director, NIT, Silchar
-
Sobha L, AU-KBC Research Centre, Anna University
-
Stelios Piperidis, ILSP, Greece
-
Subhash Chandra, Delhi University
-
Swaran Lata, TDIL, MCIT, Govt of India
-
Virach Sornlertlamvanich, Thammasat University, Bangkok, Thailand
-
Vishal Goyal, Punjabi University, Patiala
-
Zygmunt Vetulani, Adam Mickiewicz University, Poland
Workshop contact:
- For questions related to shared tasks (a) and (b), please send an
email to wildre-speechtechil@googlegroups.com and wildre
-udparseil@googlegroups.com respectively.
For urgent/specific queries on the workshop or shared tasks please
contact Atul Kr. Ojha at atulkumar.ojha@insight-centre.org
Identify, Describe and Share your LRs
Describing your LRs in the LRE Map is now a normal practice in the
submission procedure of LREC (introduced in 2010 and adopted by other
conferences). To continue the efforts initiated at LREC 2014 about ?Sharing
LRs? (data, tools, web services, etc.), authors will have the possibility,
when submitting a paper, to upload LRs in a special LREC repository. This
effort of sharing LRs, linked to the LRE Map for their description, may
become a new ?regular? feature for conferences in our field, thus
contributing to creating a common repository where everyone can deposit and
share data.
As scientific work requires accurate citations of referenced work so as to
allow the community to understand the whole context and also replicate the
experiments conducted by other researchers, LREC 2022 endorses the need to
uniquely Identify LRs through the use of the International Standard
Language Resource Number (ISLRN, www.islrn.org), a Persistent Unique
Identifier to be assigned to each Language Resource. The assignment of
ISLRNs to LRs cited in LREC papers will be offered at submission time.
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