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Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging (1995) [566 citations — 6 self]

Abstract:

this paper, we will describe a simple rule-based approach to automated learning of linguistic knowledge. This approach has been shown for a number of tasks to capture information in a clearer and more direct fashion without a compromise in performance. We present a detailed case study of this learning method applied to part of speech tagging

Citations

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