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Ramachandran, Lakshmi – ProQuest LLC, 2013
Relevance helps identify to what extent a review's content pertains to that of the submission. Relevance metric helps distinguish generic or vague reviews from the useful ones. Relevance of a review to a submission can be determined by identifying semantic and syntactic similarities between them. Our work introduces the use of a word-order graph…
Descriptors: Evaluation, Evaluators, Semantics, Word Order
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Galloway, David; Peterson-Bidoshi, Kristin – Computer Assisted Language Learning, 2008
Most existing web-based language learning exercises may be termed "static" in that their content is fixed; the sentences exist in the form in which the developer wrote them, and the scope of the exercise and the variety of interactions can only be expanded by manually adding to the existing stock. One solution to this problem is an application…
Descriptors: Sentences, Computer Assisted Instruction, Internet, Second Language Learning
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Turner, Margaret – Journal of Learning Design, 2007
Many academics continue to approach the multi-path and multi-voiced capacity of the Internet's networked nodal structure as if it were a book with pages and paragraphs and sentences that flow together in one direction to make a whole. A different approach to that of traditional writing, is required to make effective use of the distinctive…
Descriptors: Concept Mapping, Sentences, Word Processing, Electronic Learning