Automating Knowledge Acquisition for Machine Translation

Kevin Knight

Abstract


Machine translation of human languages (for example, Japanese, English, Spanish) was one of the earliest goals of computer science research, and it remains an elusive one. Like many AI tasks, trans-lation requires an immense amount of knowledge about language and the world. Recent approaches to machine translation frequently make use of text-based learning algorithms to fully or partially automate the acquisition of knowledge. This article illustrates these approaches.

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DOI: http://dx.doi.org/10.1609/aimag.v18i4.1323

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