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Today's Topics:
1. Reminder: Call for Participation: Supporting the MT
engine-building factory in CEF (Antonio Toral)
2. DL4MT: Second Call for Participation - Deep Learning for
Machine Translation Winter School (Qun Liu)
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Message: 1
Date: Tue, 18 Aug 2015 18:37:16 +0100
From: Antonio Toral <atoral@computing.dcu.ie>
Subject: [Moses-support] Reminder: Call for Participation: Supporting
the MT engine-building factory in CEF
To: moses-support@mit.edu
Message-ID: <55D36D4C.8010709@computing.dcu.ie>
Content-Type: text/plain; charset="utf-8"
***Reminder, the deadline to submit a expression of interest is this
Friday, August 21st***
If you have submitted an expression of interest already and not received
an acknowledgement, please resubmit to workshop at mli-project.eu
<http://mailman.uib.no/listinfo/corpora> <mailto:workshop at
mli-project.eu <http://mailman.uib.no/listinfo/corpora>>.
/*** Apologies for Cross Posting ***
/Supporting the MT engine-building factory in CEF
The CEF (Connecting Europe Facility) programme for building and
deploying infrastructures has the broad goal of facilitating
pan-European public online services (e.g. health, justice,
procurement). A specific Automated Translation platform (aka CEF.AT)
will also be setup as one of the core building blocks to support these
pan-European services. As mentioned in the CEF guidelines the CEF.AT
platform will comprise ?machine translation engines and specialised
language resources including the necessary tools and programming
interfaces needed to operate the pan-European digital services in a
multilingual environment.? The CEF.AT will build on the Moses-based
MT@EC service developed and operated by the Directorate-General for
Translation (DGT) of the European Commission, aiming at a more
scalable, customised and secure service. More information on CEF.AT is
available on Joinup.
DGT is working together with the Directorate General for
Communication Networks, Content and Technology (CNECT) for the
deployment of the CEF.AT platform, focusing essentially on the MT
service part and on implementing an ?engines factory? focusing on
domain adaptation and on the automation of engines creation. In this
context DGT is keen to investigate cloud-based solutions, as well as
domain adaptation and customisation techniques and technologies that
have been developed as intermediate or end results of EU funded
projects and/or solutions that are available on the market.
Accordingly, we invite expressions of interest to attend a closed
session in Luxembourg in order to present mature solutions to these
problems. While the Call is open to all, a fixed number of submissions
will be selected for presentation at a closed event to take place in
Luxembourg in late September, most probably on Tuesday September 22,
2015.
Short introductions will be given on the day on the DGT Moses-based MT
solution and its future requirements, and on CEF and beyond.
Examples of topics that might be suitable for presentation include
(but are not limited to):
-- Deployed solutions to domain adaptation
-- Discovering domain-specific terminology/conventions in parallel,
comparable, and monolingual corpora
-- Hybrid combinations of statistical models with linguistic and
domain-specific knowledge
-- Distributed SW Architectures for scalable MT solutions
-- Cloud-Based MT solutions (not necessarily statistical)
-- Shrinkwrapped installable MT solutions
-- Setting up/accessing cloud-based engines in industry
It will be a technical results-oriented workshop: the solutions
presented should be concrete and practical and not limited to
proof-of-concepts, as the output should be directly usable for the
CEF.AT platform engines factory. No approach or solution is a priori
excluded, so we are keen to see commercial solutions as well as
public, open-source implementations.
Expressions of interest (max 2 pages) demonstrating clearly how your
solution adheres to these requirements should be sent to
workshop@mli-project.eu by 6pm CET on Friday 21st August.
Programme Committee
-- Andreas Eisele, Chief scientific officer for MT@EC, Informatics
Unit, DGT, European Commission, Luxembourg
-- Spyridon Pilos, Head of language applications sector, Informatics
Unit, DG Translation, European Commission, Luxembourg
-- Kimmo Rossi, Head of the Research and Innovation Execution sector,
Data Value Chain unit, DG CONNECT, European Commission, Luxembourg
-- Andrejs Vasiljevs, CEO Tilde, Riga, Latvia
-- Andy Way, Deputy Director ADAPT Centre, Dublin, Ireland
This workshop is being organised as part of the MLi project funded by
the European Commission.
//
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Message: 2
Date: Tue, 18 Aug 2015 21:43:00 +0100
From: Qun Liu <liuquncn@gmail.com>
Subject: [Moses-support] DL4MT: Second Call for Participation - Deep
Learning for Machine Translation Winter School
To: corpora@uib.no, IRList@lists.shef.ac.uk, moses-support@mit.edu,
mt-list@eamt.org, cwmt@googlegroups.com, allmembers@cngl.ie,
researchers-list@expert-itn.eu, qt21-all@dfki.de,
nlp4dh@lists.deri.org
Message-ID: <55D398D4.1040204@gmail.com>
Content-Type: text/plain; charset="utf-8"
We apologize for cross-posting.
Please distribute.
--------------------------------------------------
Second Call For Participation - DL4MT
Second Call For Participation
DL4MT: Deep Learning for Machine Translation Winter School
18-24 October 2015, Dublin City University, Dublin, Ireland
http://dl4mt.computing.dcu.ie/
Apply Now! <https://docs.google.com/forms/d/145t_tc3V2VCrYXofgOBfRlEplbjRWfHUN0IIGCvafn0/viewform?c=0&w=1>
Deadline: Monday 31st August 2015
Notification: Monday 7th September 2015
Over the last several years, Deep learning (DL) has been the driving force behind huge improvements in speech and image processing. This has led to high expectations for DL in NLP and MT. In recent top conferences, a significant portion of papers in the MT domain are related to DL. Some recent publications have shown the effectiveness of DL in various aspects of statistical MT. However, because of the complexity of the implementations and lack of enough details in some of these publications, it is difficult to repeat the work reported in these papers. Furthermore, we believe that many MT researchers currently lack the necessary expertise to incorporate DL into their research, despite having a high-level understanding of the uses of DL in the MT domain. Most major NLP conferences have included a deep-learning tutorial for the last 2-3 years. However, existing tutorials typically do not go into sufficient depth for participants to actually apply DL algorithms in their MT
research. Because this field is evolving very quickly, we believe that a multi-day training event will help to prepare MT researchers to delve into DL, and give them the expertise to apply DL to their own work.
This one-week programme is sponsored by the European Association for Machine Translation (EAMT), and organised by The ADAPT Centre for Digital Content Technology..
We are pleased to announce three excellent mentors:
* Prof. Kevin Duh, NAIST, Japan (will be affiliated with JHU, US during the winter school)
* Prof. Hermann Ney, RWTH, Germany
* Prof. Kyunghyun Cho, New York University, US
who will present talks on various aspects of DL, with a focus on applications to MT.
The core themes of the DL4MT workshop will cover:
* The Fundamentals of DL4MT
* Neural Language Models and Translation Models for SMT
* Neural MT (Sequence to Sequence MT/Encoding-Decoding Models)
The structure of the DL4MT Winter School will be as follows: morning lectures will present in-depth interactive tutorials on topics in DL4MT, while afternoon sessions will be focused on implementation, and will take place in a collaborative environment, with support from expert mentors. Additional evening lectures will arranged on related topics.
We will solicit applications from MT researchers who have already used DL techniques in their work, and also from researchers who are interested in using DL, but would like to enhance their understanding of DL. This summer workshop focuses on applications of DL to MT, and attendees should leave with a deep understanding of the state-of-the-art in DL4MT, and the practical knowledge to implement the core algorithms in this area.
The application <https://docs.google.com/forms/d/145t_tc3V2VCrYXofgOBfRlEplbjRWfHUN0IIGCvafn0/viewform?c=0&w=1> is open now. The application deadline is Monday 31st August.
We will have a selection procedure in case the number of applications is beyond our capacity of reception.
The notice of acceptance will be sent by Monday 7th September.
The registration fee of DL4MT Winter School is 500 euro.
A small amount of grants will be given to outstanding applicants.
Hope to see you in Dublin!
Organization Committee:
Qun Liu
Tsuyoshi Okita
Chris Hokamp
John Judge
Joachim Wagner
Sponsors:
EAMT <http://www.eamt.org/>
ADAPT <http://www.adaptcentre.ie/>
EXPERT <http://expert-itn.eu/>
ICHEC <https://www.ichec.ie/>
Second Call For Participation - DL4MT
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