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Readability research has a long and rich tradition, but there has been too little focus on general readability prediction without targeting a specific audience or text genre. Moreover, although NLP-in...
Research into corpus-based semantics has focused on the development of ad hoc models that treat single tasks, or sets of closely related tasks, as unrelated challenges to be tackled by extracting diff...
We show that under certain conditions, a language model can be trained on the basis of a second language model. The main instance of the technique trains a finite automaton on the basis of a p...
In Chapter 1 and throughout this book, we describe a large number of models, each different in detail-each a variation on the parallel distributed processing (PDP) idea. These various models, and inde...
Distributed memory and the representation of general and specific information.
Retrieving general and specific information from stored knowledge of specifics.
When investigating the applicability and effectiveness of HMMs in Chinese segmentation and tagging, we propose a general framework for related extensions to HMMs, which accounts for contextual informa...

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