META-NET Workshop:
Machine Translation and Multimodal Contexts
Special session in ICANN 2012 at
Lausanne, Switzerland, September 11-14, 2012
Meeting date: Tuesday, 11th of September.
Programme
Links
Download CFP in text format.
META-NET Workshop: Machine Translation and Multimodal Contexts
Special session in ICANN 2012,
Lausanne, Switzerland, September 11-14, 2012
Machine Translation can be considered to be one of the most
challenging tasks computer science has ever taken. Statistical methods
have been increasingly successful in providing efficiently MT
solutions for many language pairs. However, there is a lot of room for
improvement regarding the quality of translations. One central reason
for the failures is that current systems take the context into account
only in a limited manner. This is particularly true for multimodal
contexts.
This META-NET workshop is organized to foster exchange of ideas and
results which combine machine translation and multilinguality
challenges with multimodal processing and adaptive systems.
The notion of context is meant to be understood broadly, including
other modalities like vision in addition to the textual contexts.
Therefore, we expect participants, e.g., from machine translation,
machine learning, vision research and cognitive systems communities.
Relevant topics include:
- Specification and standardization of contextual information
- Using textual context in Machine Translation
- Visually informed Machine Translation:
e.g. subtitle
translation, personal mobile assistants, multilingual robotics,
semantics of movement
- Speech and sound content in multilingual systems:
e.g.
context-aware speech-to-speech Machine Translation,
speaker-based speech adaptation, recipient-directed speech and
translation adaptation, author and content based style
adaptation
- Use of situational and location data
- Machine Translation of colloquial language in rapidly changing
contexts
- Effect of document type, genre, domain of application and medium
on Machine Translation
- Semantics versus pragmatics in multimodal and multilingual systems
- Tools and corpora for context-aware Machine Translation
- Representing Machine Translation problems in a suitable form for
Neural Network and Machine Learning researchers
- Machine Learning methods and tools for context-aware
multilingual applications
- Studies of human translation performance (with and without context)
- Brain research results on context processing
- Learning correspondences between several languages:
e.g. Meta-learning and multi-task learning for multilingual systems
We invite presentations in the domain of the workshop related to
Please, send your presentation proposal to timo dot honkela at aalto
dot fi and jaakko dot j dot vayrynen at aalto dot fi by 12th of
August, 2012. Notification will be sent by 22nd of August.
A presentation proposal consists of a title, presenter, and an abstract.
- Nicola Cancedda, Xerox, France
- Jussi Karlgren, SICS, Sweden
- Philipp Koehn, University of Edinburgh, UK
- Markus Koskela, Aalto University, Finland
- Mikko Kurimo, Aalto University, Finland
- Krister Lindén, University of Helsinki, Finland
- Tapani Raiko, Aalto University, Finland
- Georg Rehm, DFKI, Germany
- Francois Yvon, LIMSI, France
- Pierre Zweigenbaum, LIMSI, France
The workshop program and schedule will be published closer to the
workshop.