Human in the Loop: 1st Workshop on Humans and Computer-asisted Translation

Event Notification Type: 
Call for Papers
Abbreviated Title: 
HaCaT 2014
Co-located with EACL 2014
Saturday, 26 April 2014
Submission Deadline: 
Thursday, 23 January 2014

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Human in the Loop: 1st Workshop on Humans and Computer-asisted Translation
(HaCaT 2014)

Collocated with EACL 2014

Gothenburg, Sweden

April 26, 2014



The past decade has seen tremendous progress in the speed, quality and
availability of automatic translation of natural languages. While
automatic translation quality still regularly falls short of publication
or near-publication quality, contemporary machine translation can deliver
a level of quality that may boost the productivity of human translators by
providing them with raw translations to work from, ensuring consistency in
terminology, and fast access to terminological databases and databases of
previous translations in the form of translation memories and bilingual

Much research in the CL community in recent years has focused on improving
fully automatic MT, but we still know comparatively little about how
humans translate, and how to optimally organize human-machine interaction
in computer-assisted translation. This workshop aims to provide a platform
to discuss these issues and to present empirical results, data sets, case
studies, and tools for computer-assisted translation and the study of
cognitive processes in both fully human and computer-assisted human
translation. We particularly encourage submissions related to the

Topics of interest

Topics of interest include, but are not limited to, addressing questions
such as:

* Behavioral studies of human translators in action. What do they spend
their time on? Where do they get stuck? How much context do they need? At
what level of understanding do they process the text?

* CAT tools and tools for the study of human translation.

* Features and functions of a CAT user interface. What features do
translators require a UI to have? What do they need for a CAT UI to be

* Data sets, especially data sets showing how translations evolve during
multi-stage processing in a professional setting (e.g., from junior
translator to senior translator to final revision).

* In-depth analyses of both human and automatic translations. What are
typical errors? Do professional translators work very differently to
casual translators?

* Novel types of assistance for human translators.

* Adapting machine translation systems to the needs of human translators.

* The CAT back-end: SMT vs translation memories and example-based MT,
hierarchical vs. phrase-based SMT, other approaches and combinations
thereof. What do translators prefer? What are they most productive with?

* Revising the human-computer interaction scheme. How can the machine
translation system learn from the user's feedback? Are other interaction
protocols such as interactive machine translation better suited? How can
an e-pen, a gaze tracking device, a speech recognition system or other
multi-modal devices improve translation productivity?


We invite three types of submissions. All must present original,
previously unpublished work. Double submission of long or short papers to
other conferences and workshops is acceptable as long as this disclosed at
the time of submission. It is expected that the workshop organizers are
notified immediately if the paper will be published elsewhere. Double
submission of demos is allowed.

* long papers that present substantial, completed pieces of work. Long
papers can consist of up to 8 pages of text (including tables and figures)
and up to two 2 extra pages for references.

* short papers that report on work in progress or pilot studies and small
studies. Short papers can consist of up to 5 pages of of text (including
tables and figures) plus 1 extra page for references.

* system demos that present CAT systems and experimental setups that
showcase novel approaches and new features in human-computer interaction
in the context of automated and computer-assisted translation. System
demos should be submitted in the same format as the short papers (i.e.,
maximum 5 pages of text plus 1 extra page for references).

Submissions will be handled electronically via the START Conference
Manager System. Submissions must be anonymized for double-blind reviewing
(i.e., not reveal the identity of the author in any form, including
meta-data stored in the file; see the file eacl2014.pdf, which is part of
the package linked to below) and be in portable document format (PDF).
They should follow the general EACL style guidelines available at Upload submissions
using the following address:

Each submission will be blind reviewed at least by two members of the
program committee. Accepted papers will be published in the workshop
proceedings. In addition, we aim to provide opportunity to publish
extended versions of exceptional papers in a special journal edition.

Important dates

23 January 2014: Paper submission deadline
20 February 2014: Notification of acceptance
3 March 2014: Camera-ready papers due
26 April 2014: EACL Workshop in Gothenburg, Sweden, co-located with EACL

Organizing Committee

* Ulrich Germann, University of Edinburgh
* Michael Carl, Copenhagen Business School
* Philipp Koehn, University of Edinburgh
* Germán Sanchis-Trilles, Universitat Politècnica de València
* Francisco Casacuberta, Universitat Politècnica de València
* Robin Hill, University of Edinburgh
* Sharon O'Brien, Dublin City University

Program Committee

Organizing committee, plus

* Bartolomé Mesa-Lao
* Marco Turchi
* Sara Stymne
* Roland Kuhn
* Pascual Martinez
* Barry Haddow
* Fred Hollowood
* Marcello Federico
* Mauro Cettolo
* Matteo Negri
* Pierrette Bouillon
* Manny Rayner
* Philippe Langlais
* Guy Lapalme
* George Foster
* Johanna Gerlach
* Michel Simard
* Marine Carpuat
* Violeta Seretan
* Robert Frederking
* John Moran
* Srinivas Bangalore
* Fabio Alves
* Daniel Ortiz-Martínez
* Vicent Alabau
* Luis A. Leiva
* Jesús González-Rubio
* Nicola Bertoldi
* Christian Buck
* Alessandro Cattelan
* Nicola Bertoldi
* Christophe Servan