There are well-articulated arguments promoting the deployment of finite-state (FS) processing techniques for natural language processing (NLP) application development. This paper adopts a point of view of designing industrial strength NLP frameworks, where emerging notions include a pipelined architecture, open-ended intercomponent communication, and the adoption of linguistic annotations as fundamental analytic/descriptive device.
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