Students will gain insights into how the interaction between literature, computer science and mathematics has given birth to the fields of constrained and computational literature and computational studies in literature.
Students will achieve a basic historical understanding of the development and progress of the main AI applications of computational linguistics from the beginning of computer science to our Big Data era.
Students will develop an understanding of how computational linguists approach the scientific and engineering study of language.
Students will practice computational thinking while exploring some algorithms used in computational linguistics and working on some small AI/CL group projects.
Students will gain insights into how the interaction between literature, computer science and mathematics has given birth to the fields of constrained and computational literature and computational studies in literature.
Students will achieve a basic historical understanding of the development and progress of the main AI applications of computational linguistics from the beginning of computer science to our Big Data era.
Students will develop an understanding of how computational linguistics approach the scientific and engineering study of language.
Students will practice computational thinking while exploring some algorithms used in computational linguistics and working on some small AI/CL group projects.
Audet, R., & Lebrun, T. (2020). Artificial intelligence and the book industry: white Paper.
Hammond, A., Brooke, J., & Hirst, G. (2013, June). A tale of two cultures: Bringing literary analysis and computational linguistics together. In Proceedings of the Workshop on Computational Linguistics for Literature (pp. 1-8).
Heflin, J. J. A. (2020). AI-generated literature and the vectorized Word (Massachusetts Institute of Technology).
Jurafsky, D., & Martin, J. H. (2014). Speech and language processing.
Kasman, A. (2004). Mathematics in science fiction. Math Horizons, 11(4), 5-7.
Knuth, D.E. Selected papers on fun & games. Stanford, CA: CSLI Publications, 2011.
Monk, I., & Becker, D. L. (2018). All That Is Evident Is Suspect: Readings from the Oulipo 1963—2018.
Terry, P. (2020) The Penguin Book of Oulipo: Queneau, Perec, Calvino and the Adventure of Form (London: Penguin)
Audet, R., & Lebrun, T. (2020). Artificial intelligence and the book industry: white Paper.
Hammond, A., Brooke, J., & Hirst, G. (2013, June). A tale of two cultures: Bringing literary analysis and computational linguistics together. In Proceedings of the Workshop on Computational Linguistics for Literature (pp. 1- 8).
Heflin, J. J. A. (2020). AI-generated literature and the vectorized Word (Massachusetts Institute of Technology).
Jurafsky, D., & Martin, J. H. (2014). Speech and language processing.
Kasman, A. (2004). Mathematics in science fiction. Math Horizons, 11(4), 5-7.
Knuth, D.E. Selected papers on fun & games. Stanford, CA: CSLI Publications, 2011.
Monk, I., & Becker, D. L. (2018). All That Is Evident Is Suspect: Readings from the Oulipo 1963—2018.
Terry, P. (2020) The Penguin Book of Oulipo: Queneau, Perec, Calvino and the Adventure of Form (London: Penguin)
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| AttendanceAttendance attendance |
15 | Attending classes and participating in computational literature computer class activities |
| HomeworkHomework homework |
25 | Weekly reading assignment, trying online AI resources / tools / demos for computational literature |
| 1 individual class presentation1 individual class presentation 1 individual class presentation |
10 | |
| 2 group class presentations2 group class presentations 2 group class presentations |
25 | |
| Final projectFinal project final project |
25 | Short report on experimenting with AI tools for literature generation or literature analysis |
