Multilingual spoken language processing - Challenges for multilingual systems

Research on multilingual speech processing is now a hot topic as there has been an increase the widespread use of speech and language technologies in a wide variety of applications. There are new algorithms and tools that support the simultaneous recognition of mixed-language input, as well as summarization of multilingual text and spoken documents, the generation of output in the appropriate language, or the accurate translation from one language to another. Many approaches have been proposed to tailor language models toward particular domains by text selection or various interpolation schemes. Meanwhile, spoken document summarization is the recognition, distillation, and presentation of spoken documents in a structural textual form. Multilingual speech translation must use a framework that can handle multiple pairs of source and target languages.