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Second Workshop on Hybrid Approaches to Translation (HyTra)

Co-located with ACL 2013

Sofia, Bulgaria

August 8, 2013

Deadline for paper submissions: April 30, 2013

http://hytra.barcelonamedia.org/hytra2013

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The Second Workshop on Hybrid Approaches to Translation (HyTra)
intends to further progress on the findings from the first
edition which was held (together with the ESIRMT workshop) as a
joint 2-day EACL 2012 workshop.

The aim of the HyTra workshop is to bring together and share
ideas among researchers developing statistical, example-based, or
rule-based translation systems and who enhance MT systems with
elements from the other approaches. Hereby one relevant focus
will be on effectively combining linguistic and data driven
approaches (rule-based and statistical MT). Another focus will be
on hybridization in the context of human translation.

We solicit contributions including but not limited to the
following topics:

    ways and techniques of hybridization

    architectures for the rapid development of hybrid MT systems

    applications of hybrid systems

    hybrid systems dealing with under-resourced languages

    hybrid systems dealing with morphologically rich languages

    using linguistic information (morphology, syntax, semantics)
    to enhance statistical MT (e.g. with hierarchical or factored
    models)

    using contextual information to enhance statistical MT

    bootstrapping rule-based systems from corpora

    hybrid methods in spoken language translation

    extraction of dictionaries from parallel and comparable
    corpora

    induction of morphological, grammatical, and translation
    rules from corpora

    machine learning techniques for hybrid MT

    describing structural mappings between languages (e.g.
    tree-structures using synchronous/transduction grammars)

    heuristics for limiting the search space in hybrid MT

    alternative methods for the fair evaluation of the output of
    different types of MT systems (e.g. relying on linguistic
    criteria)

    system combination approaches such as multi-engine MT
    (parallel) or automatic post-editing (sequential)

    open source tools and free language resources for hybrid MT

Contributions are to be organized into two tracks, corresponding
to short or long papers. Short paper submission must describe
original and unpublished work without exceeding five pages of
content plus one extra page for references. Characteristics of
short papers include: a small, focused contribution; work in
progress; a negative result; an opinion piece; an interesting
application nugget. Long paper submissions must describe
substantial, original, completed and unpublished work without
exceeding eight pages of content plus two extra pages for
references.

Submission Instructions

Authors are invited to submit papers on original and previously
unpublished work. Formatting should be according to ACL 2013
specifications using LaTeX or MS-Word style files, see
http://acl2013.org/site/call.html. Reviewing of papers will be
double-blind, so the submissions should not reveal the authors'
identity.

Submission is electronic in PDF format using the START submission
system at (URL to be announced in subsequent versions of this
call)

Double submission policy: Parallel submission to other meetings
or publications are possible but must be immediately notified to
the workshop contact person (see below).

Authors of accepted papers will be invited to present their
research at the workshop. The papers will be published in the
electronic workshop proceedings. These will be part of the ACL
proceedings, published by ACL. They will also be made available
online via the ACL Anthology.

Important Dates

April 30, 2013: Paper submissions due

May 24, 2013: Notification of acceptance

Jun 7, 2013: Camera ready papers due

August 8 or 9, 2013: Workshop in Sofia

Organizers

Marta R. Costa-jussà (Institute for Infocomm Research).

Reinhard Rapp (Universities of Aix-Marseille and Mainz),

Patrik Lambert (Barcelona Media Innovation Center),

Rafael E. Banchs (Institute for Infocomm Research),

Bogdan Babych (University of Leeds)

Contact person: Marta R. Costa-jussà
(martaruizcostajussa_(at)_gmail.com)

Confirmed Invited Speakers

Will Lewis and Chris Quirk (Microsoft Research)

Programme Committee

Alexey Baytin, Yandex, Moscow, Russia

Núria Bel, Universitat Pompeu Fabra, Barcelona, Spain

Pierrette Bouillon, ISSCO/TIM/ETI, University of Geneva,
Switzerland

Michael Carl, Copenhagen Business School, Denmark

Marine Carpuat, National Research Council, Canada

Josep Maria Crego, Systran, Paris, France

Oliver Culo, University of Mainz, Germany

Kurt Eberle, Lingenio GmbH, Heidelberg, Germany

Andreas Eisele, DGT (European Commission), Luxembourg

Marcello Federico, Fondazione Bruno Kessler, Trento, Italy

Christian Federmann, Language Technology Lab, DFKI, Saarbrücken,
Germany

Alexander Fraser, University of Stuttgart, Germany

José A. R. Fonollosa, Universitat Politècnica de Catalunya,
Barcelona, Spain

Tony Hartley, Toyohashi University of Technology, Japan, and
University of Leeds, UK

Maxim Khalilov, TAUS, Amsterdam, The Netherlands

Philipp Koehn, University of Edimburgh, UK

Kevin Knight, University of Southern Carlifornia, US

Udo Kruschwitz, University of Essex, UK

Yanjun Ma, Baidu Inc., Beijing, China

José B. Mariño, Universitat Politècnica de Catalunya, Barcelona,
Spain

Maite Melero, Barcelona Media Innovation Center, Barcelona, Spain

Bart Mellebeek, University of Amsterdam, The Netherlands

Haizhou Li, Institute for Infocomm Research, Singapore

Chris Quirk, Microsoft, USA

Paul Schmidt, Institute for Applied Information Science,
Saarbrücken, Germany

Anders Sogaard, University of Copenhagen, Denmark

Uta Seewald-Heeg, Anhalt University of Applied Sciences, Köthen,
Germany

Nasredine Semmar, CEA LIST, Fontenay-aux-Roses, France

Wade Shen, Massachusetts Institute of Technology, Cambridge, USA

Serge Sharoff, University of Leeds, UK

George Tambouratzis, Institute for Language and Speech
Processing, Athens, Greece.

Jörg Tiedemann, University of Uppsala, Sweden

Dekai Wu, The Hong Kong University of Science and Technology,
Hong Kong, China

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