Curva Fin Bloque

Machine Translation Use Case at UPC

Pangeanic will be a guest speaker and test case at the Multimodal Interaction in Pattern Recognition and Computer Vision (MIPRCV). This is a 5-year project (2007-2012) belonging to the CONSOLIDER Ingenio 2010 working towards significant advances in intelligent multimodal interactive systems in the areas where Pattern Recognition and Computer Vision can be applied. One of the star applications has been in language, and PangeaMT, Pangeanic’s Moses-based DIY environment, is clear proof of research-to-industry transfer. The application has been presented in many fora, including the EU’s DGT.

The two-day event will take place on 24th and 25th at the
Aula Màster, Campus Diagonal Nord. Edificio A3. Universitat Politècnica de Catalunya.
Calle Jordi Girona, 1-3, 08034 Barcelona.

MIPRCV organizes a workshop aimed at Spanish companies from various sectors to raise awareness of this project and its commercially exploitable potential. The results are divided into three main sections:

  1. Audio, voice and language: machine translation, speech transcription, transcribing music, etc.
  2. Analysis and Image processing and analysis: transcription of handwritten text images, image retrieval from the web, medical image analysis, etc.
  3. Video and robotics: surveillance, advanced driving assistance, interaction with robots, people tracking, human action recognition, video retrieval, etc.

Over the last few years, Multimodal human Interaction (MI) has become an important field of increasing attention. Advanced man-machine interfaces with high cognitive capabilities are a hot research topic that aims at solving challenging application problems in the information technology society. The outstanding need for the development of interactive systems with cognitive capabilities is clearly reflected, for instance, in the Spanish Research Programme for Information Technologies and in the Information and Communication Technologies work Programme of the European Union, where these developments are included as one of the priority research challenges for short and middle term research in information systems.

The idea of computer interactive systems stems from the early stages of computer science. In the seventies, Jarvis already foresaw a highly relevant role of areas such as Computer Vision (CV) and Pattern Recognition (PR) in the development of advanced man-machine interfaces. Nevertheless, from those bright promises, only a very small fraction of the huge potential of PR and CV in MI has been actually exploited so far.

Tapping this potential entails several research challenges and opportunities in order to adapt Computer Vision and Pattern Recognition approaches to the dynamic and changing environments of interactive systems. The MIPRCV project aims to establish a research program to explore all these opportunities and challenges. The ultimate goal is to show how existing PR and CV technologies can naturally evolve to help developing advanced multi-modal interactive systems that will realize the long standing promises of a seamless synergy between persons and machines.

The 81-strong team that make up this research consortium include highly qualified scientists and engineers. They come from seven research groups and ten different public research institutions and among them there are many internationally renowned researchers in the fields of Pattern Recognition, Machine Learning, Image Processing, Computer Vision, Speech and Language Processing and Robotics.
Further information can be obtained following this link:

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