Building natural language generation systems
Building natural language generation systems
Supertagging: an approach to almost parsing
Computational Linguistics
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Interactive Learning Environments (ILE) supports discovery learning. According to Lewis [8], the development of which would improve retention, deepen understanding, and enhance motivation. Existing ILEs on the programming domain generally provide programming exercises and simulations of code as their main sources of interaction. This paper describes the design and implementation of two (2) additional components of the ILE, namely: the Program Slicer and the Text Generator. The Program Slicer determines the slices in the code that represent some algorithm. The Text Generator explains the algorithm in English.