Cross-Language Mobile Communication And Pervasive Language Learning Using Multimedia Cellular Phone Messaging And Online Translation

The proposed system is offered that allows people with different native languages to communicate using cell phones. Besides communication, learning is also a goal. This system implements the 3 most common styles of learning which are; visual, auditory and kinesthetic learning. These learning styles are aided by the ubiquitous and mobile learning paradigms. The system operates such that the users not only communicate with each other, but also can learn while doing so

Acoustic Modelling for Under-Resourced Languages

Automatic speech recognition systems have so far been developed only for very few languages out of the 4,000-7,000 existing ones. In this thesis we examine methods to rapidly create acoustic models in new, possibly under-resourced languages, in a time and cost effective manner. For this we examine the use of multilingual models, the application of articulatory features across languages, and the automatic discovery of word-like units in unwritten languages

Multilingual mobile-phone translation services for world travelers

This demonstration introduces two new multilingual translation services for mobile phones. The first translation service provides state-of-the-art text-to-text translations of Japanese as well as English conversational spoken language in the travel domain into 17 languages using statistical machine translation technologies trained automatically from a large-scale multilingual corpus. The second demonstration is a speech translation service between Japanese and English for real environments. It is based on distributed speech recognition with noise suppression. Flexible interfaces between internal and external speech translation resources ease the portability of the system to other languages and enable real-time location-free communication world-wide.