Knowledge Management is the collection, sorting, and distillation of organizational knowledge. Multi-national organizations have multi-lingual knowledge. The tools used to collect, manage, and distill knowledge therefore must be linguistically sensitive. The first challenge is to enable the search, summarization, and classification tools that work in one language to work in other languages. The next logical step is to supplement those tools with machine translation and other cross language tools that allow users with a limited set of language expertise to learn from and contribute to a group with a diverse set of languages. I will discuss:
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