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A random forest system combination approach for error detection in digital dictionaries
We investigate combining methods and show that using random forests is a promising approach.
Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling
Dictionaries are often developed using tools that save to Extensible Markup Language (XML)-based standards.
Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language
We describe a paradigm for combining manual and automatic error correction of noisy structured lexicographic data.
Generating Extractive Summaries of Scientific Paradigms
Researchers and scientists increasingly find themselves in the position of having to quickly understand large amounts of technical material.
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