In contrast to most traditional bottom-up methods of education, I discuss how taking existing creations and remixing them provides a more grounded and meaningful unstructured educational experience, drawing on examples from creative media such as games, websites, and music.
Programmers think dynamic languages like Python are easier to use than static ones, but why? I look at uniquely dynamic programming idioms and their static alternatives, identifying a few broad trends that impact language usability.
K. Toutanova, D. Klein, C. Manning, und Y. Singer. NAACL '03: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, Seite 173--180. Morristown, NJ, USA, Association for Computational Linguistics, (2003)
T. Grenager, und C. Manning. Proceedings of the Conference on Empirical Methods in Natural Language Processing, The Stanford Natural Language Processing Group, (2006)
T. Grenager, und C. Manning. Proceedings of the Conference on Empirical Methods in Natural Language Processing, The Stanford Natural Language Processing Group, (2006)
R. Snow, D. Jurafsky, und A. Ng. Proceedings of the 44 th Annual Meeting of the Association for Computational Linguistics, The Stanford Natural Language Processing Group, (2006)Received Best Paper Award.
W. Morgan, P. Chang, S. Gupta, und J. Brenier. Proceedings of the 7 th SIGdial Workshop on Discourse and Dialogue, The Stanford Natural Language Processing Group, (2006)
R. Swanson, und A. Gordon. Proceedings of the Joint Conference of the International Committee on Computational Linguistics and the Association for Computational Linguistics, Seite 17-21. Sydney, Australia, (Juli 2006)