[Corpora-List] Second CFP: Workshop on Using Linguistic Information for Hybrid Machine Translation

[Gorka Labaka]

==============================================================

SECOND CALL FOR PAPERS

Workshop on Using Linguistic Information for Hybrid Machine Translation

Friday, November 18, 2011. Barcelona, Spain.
http://ixa2.si.ehu.es/lihmt2011
==============================================================

Background
=========
Following on the OpenMT Workshop on Mixing Approaches to Machine 
Translation in 2008 (http://ixa2.si.ehu.es/matmt-2008), the aim of this 
OpenMT-2 Workshop on Using Linguistic Information for Hybrid Machine 
Translation (HMT) is to promote corpus-based methods and technologies 
that combine resources and algorithms from the three general approaches 
to MT: rule-based (RBMT), example-based (EBMT) and statistical (SMT).

The boundaries between these three approaches have narrowed:
(i) string based SMT models are being augmented with morphological, 
syntactic or semantic information,
(ii) RBMT systems are using parallel corpora to improve results by 
enriching their lexicons and grammars and applying new methods for 
disambiguation,
(iii) research has shown that benefits can be accrued by combining of MT 
systems based on different MT approaches.

At the same time, data-driven Machine Translation (EBMT and SMT) is 
nowadays prevalent within the MT research community and translation 
results obtained using these approaches have now reached a reasonably 
useful level of quality, especially when the target language is English. 
But such data-driven MT systems base their knowledge on bilingual 
aligned corpora, and the accuracy of their output depends heavily on the 
quality and the size of that corpora. Large and reliable bilingual 
corpora are unavailable for many language pairs. In addition, 
translating into morphologically rich target languages makes the 
training of data-driven systems rather more difficult.

Workshop Programme
================
The one-day workshop is being organised as part of the dissemination 
effort of the OpenMT-2 project, a Spanish government funded, three-year, 
multisite research effort addressing, on the one hand, approaches to 
integrating structural information (morphological, syntactic and 
semantic) into open-source SMT and, on the other, to developing novel 
automatic MT evaluation using linguistically motivated metrics. Thus, 
the central issues to be addressed during the workshop include:
methods and techniques for integrating structural information (syntactic 
and semantic) into HMT,
methods and techniques for handling morphologically rich languages (e.g. 
Basque) within HMT,
alternative approaches to automatic MT evaluation which rely on 
linguistic criteria.

The programme will include three invited plenary talks, each addressing 
one of the central issues above, and the presentation of a number of 
refereed contributions on related topics. The invited speakers include:
Ondřej Bojar (Charles University, Czech Republic)
Topic: Treatment of morphologically rich languages for HMT,
Alon Lavie (Carnegie Mellon University, USA)
Topic: Integrating structural information into HMT,
Lucia Specia (University of Wolverhampton, UK)
Linguistic Indicators for Quality Estimation of Machine Translation.

The workshop will conclude with a brief panel discussion summarising the 
results of the presentations as they impact the central issues.

Topics of Interest
=============
We are particularly interested in papers describing research and 
development in the following areas:
methods to compare and combine translation-outputs obtained from 
different MT systems,
methods for dealing with languages with rich morphology within 
data-driven approaches,
approaches to developing morphologically, syntactically or semantically 
augmented SMT models,
new automatic (or manual) MT evaluation methods based on linguistically 
motivated metrics,
descriptions of open-source or free language resources that are 
available for developing hybrid MT systems.

All contributions will be published in the workshop proceedings.

Important Dates
============
Paper submission deadline: Sept. 9, 2011,
Notification of acceptance: Oct. 7, 2011,
Final version of paper: Oct 21, 2011,
Workshop: Nov 18, 2011.

Submissions
=========
Papers should be in English and up to a maximum of 8 pages long. Please 
follow the ACL HLT 2011 formatting requirements for long papers found at:
http://www.acl2011.org/call.shtml#submission

To submit contributions, please follow the instructions at the EasyChair 
conference management system submission website at:
http://www.easychair.org/conferences/?conf=lihmt2011.

The deadline for submission is September 9, 2011.
The contributions will undergo a double-blind review by three members of 
the programme committee.

Please address queries to lihmt at easychair.org


Programme committee
================

Co-Chair: David Farwell (Technical University of Catalonia, TALP, Barcelona)
Co-Chair: Gorka Labaka (University of the Basque Country, Donostia)

Iñaki Alegria (University of the Basque Country, Donostia)
Ondřej Bojar (Charles University, Czech Republic)
Arantza Díaz de Ilarraza (University of the Basque Country, Donostia)
Chris Dyer (Carnegie Mellon University, US)
Cristina España (Technical University of Catalonia, TALP, Barcelona)
Marcello Federico (Fondazione Bruno Kessler, Italy)
Mikel Forcada (University of Alacant, Alicante)
Adrià de Gispert (University of Cambridge, UK)
Kevin Knight (Information Sciences Institute, US)
Phillip Koehn (University of Edinburgh, UK)
José Mariño (Technical University of Catalonia, TALP, Barcelona)
Lluís Màrquez (Technical University of Catalonia, TALP, Barcelona)
Hermann Ney (RWTH-Aachen, Germany)
Daniele Pighin (Technical University of Catalonia, TALP, Barcelona)
Aarne Ranta (Chalmers University of Technology, Gothenburg, Sweden)
Marta R. Costa-jussà (Barcelona Media, Spain)
Felipe Sánchez-Martínez (University of Alacant, Alicante)
Kepa Sarasola (University of the Basque Country, Donostia)
Lucia Specia (University of Wolverhampton, UK)
Dekai Wu (Hong Kong University of Science and Technology, China)

Local organization
==============
Centre for Speech and Language Applications and Technologies (TALP), 
Technical University of Catalonia (UPC).
Committee members: David Farwell (Chair), Amarin Deemagarn, Cristina 
España, Meritxell González, Lluís Màrquez, Daniele Pighin.


About the OpenMT-2 Project
=====================
The main goal of the OpenMT-2 project is the development of Open Source 
Machine Translation Architectures based on hybrid models and advanced 
semantic processors. These architectures will be open-source systems 
combining the three main Machine Translation frameworks – Rule-Based MT 
(RBMT), Statistical MT (SMT) and Example-Based MT (EBMT) – into hybrid 
systems. Implemented architectures and systems will be Open Source, so 
it will allow rapid system adaptation or development of new advanced 
Machine Translations systems for other languages. We will test system 
functionality for different languages: English, Spanish, Catalan and 
Basque; thus evaluating such architectures in different contexts. While 
there are many corpus resources for English and Spanish, there are not 
so many for Catalan and Basque. While the structure of some of those 
languages is very similar (Catalan and Spanish), others are very 
different (English and Basque). Basque is an agglutinative and highly 
inflecting language, unlike English, Catalan and Spanish.

In parallel there has been extensive work on developing an automatic 
Evaluation platform that supports the introduction of linguistically 
motivated morphological, syntactic and semantic metrics into the design 
of MT Evaluation methodologies. It also supports the development and 
testing of concrete, linguistically-based evaluation techniques.

The main innovative points of the OpenMT-2 project are:
The design of hybrid systems combining traditional linguistic rules, 
example-based methods and statistical methods.
The development of MT evaluation methods based on linguistically 
motivated metrics.
The implementation of Open Source Systems.
The use of advanced syntactic and semantic processing in MT.

For further details, see the OpenMT-2 website: http://ixa.si.ehu.es/openmt2


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