first Call for Participation of DL4MT Winter School

First Call For Participation:

DL4MT Winter School

Deep Learning for Machine Translation


18-24 October 2015, Dublin City University, Dublin, Ireland

We would like to announce the Deep Learning For Machine Translation
(DL4MT) Winter School at Dublin City University, Dublin, Ireland.

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.

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.

We will announce the application and registration process in the coming

Hope to see you in Dublin!

Organization Committee:

Qun Liu

Tsuyoshi Okita

Chris Hokamp

John Judge

Joachim Wagner






Source: Corpora List

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