Slide 1: Digital Olympic Multi-Language Information Network Service System Project
Slide 2: Multi-language information network service project for Olympic 2008 Prof. Zhuang Zixin UNL Capinfo Branch
Slide 3: Background • Olympic 2008, Beijing • Share Olympic information Any Time, Any Where, Any One, Any Device • Language problem is one of the most important concerns for Olympic 2008
Slide 4: Goal and Concept Goal ： Applying information technology to solve the language problem for Olympic 2008 One of the landmarks for Olympic 2008 Concept ： A large scale intelligent information service network system based on broadband network, provides both public and personalized information in multilanguage.
Slide 5: Key Features -- Main functions: intelligent translation and consulting -- Covers every aspects of Olympic 2008 -- Multi access: public information system mascot-like robots mobile phone PDA etc.
Slide 6: Key Technologies Machine translation Cross-language information retrieval Speech recognition Text to Speech conversion (TTS) Multi-Agent system
Slide 7: Architecture A central language processing platform, multiple sub-center, multiple mobile agents. Forms a cooperative network, supporting each other. . Sub-center 1 mobile agent Language processing center Sub-center 2 Sub-center n mobile agent
Slide 8: Architecture: Another View
Slide 9: Strategy -- Organized by Beijing multimedia & network lab -- Focus on practicability -- Open, cooperate with resources both domestic and international. -- Multi-language machine translation being the core technology.
Slide 10: Major Tasks -- Framework, interface standard design -- Key technologies research Machine translation, multi-agent…. -- Application systems development -- System integration -- Trial operation
Slide 11: Time Schedule -- Framework, interface standard 2002.1 to 2002.6 -- Key technologies research 2002.1 to 2004.12 -- Application systems development 2005.1 to 2005.12 -- System integration 2006.1 to 2006.12 -- Trial operation 2007
Slide 12: Cooperation Opportunity Multi-Language Machine Translation based on UNL Any concern, any advice and any cooperation expected!
Slide 13: Thanks!