In this paper, a multilingual cross-lingual information retrieval (CLIR) system is presented and evaluated in NTCIR-6 project. We use the language-independent indexing technology to process the text collections of Chinese, Japanese, Korean, and English languages. Different machine translation

Recent research has taken advantage of Wikipedia’s multi-lingualism as a resource for cross-language information re-trieval and machine translation, as well as proposed tech-niques for enriching its cross-language structure. The avail-ability of documents in multiple languages also opens up new

summarization could play a vital role in multilingual information access, as a bridge between CLIR and machine translation. Surprisingly enough, no detailed studies exist yet on the effects of cross-linguality to query focused summarization. In this paper we study the effects of adding a cross

Abstract: Online learning initia-tives over the past decade have become increasingly comprehen-sive in their selection of courses and sophisticated in their presen-tation, culminating in the recent announcement of a number of consortium and startup activities that promise to make a university education on the internet, free of charge, a real possibility. At this pivotal moment it is appropriate to explore the potential for obtaining comprehensive bioinformatics training with currently existing free video resources. This article pre-sents such a bioinformatics curric-ulum in the form of a virtual course catalog, together with editorial commentary, and an assessment of strengths, weaknesses, and likely future directions for open online learning in this field. Online Learning Comes of Age Online academic ‘‘courseware’ ’ at the university level has now been available to the public for a decade, the earliest concerted effort having originated in 2002 with the Massachusetts Institute of Technology (MIT) and their OpenCour-seWare initiative