Patrick J. Burns

Associate Research Scholar, Digital Projects @ Institute for the Study of the Ancient World / NYU | Formerly Culture Cognition, and Coevolution Lab (Harvard) & Quantitative Criticism Lab (UT-Austin) | Fordham PhD, Classics | LatinCy developer

ELIZA, ELIZAE: The Absurdity and (Absurd) Potential of Latin Chatbots

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Abstract

Development of the ELIZA chatbot at MIT in the mid-1960s opened up more than a half-century of discussion about the possibilities and limitations of human-computer interaction using natural language. One idea that has—perhaps unsurprisingly to many—not received much attention is building a chatbot to respond to prompts given in the Latin language. In this paper, I discuss my development work with a natural language processing platform for historical languages, the Classical Language Toolkit, and my recent work using CLTK to develop a Latin chatbot, connecting this work to a long pedagogical tradition of teaching Latin through dialogue. I argue that rather than something to be seen as a novelty, Latin chatbots (and related NLP applications for ancient languages, like for example, a recently released Latin version of Duolingo) instead will push Latin pedagogy significantly forward, ironically while reconnecting with its dialogic origins.

Works Cited

• Alammar, J. 2018. “The Illustrated Word2Vec” http://jalammar.github.io/illustrated-word2vec/.
• Bailey, J.S. 2017. “Teaching Latin to Humans” Eidolon. November 13. https://eidolon.pub/teaching-latin-to-humans-4e6b489b4e17.
• Bird, S., Klein, E., and Loper, E. 2015. “Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit.” https://www.nltk.org/book/.
• Burns, P.J. 2019. “Building a Text Analysis Pipeline for Classical Languages.” In Digital Classical Philology: Ancient Greek and Latin in the Digital Revolution. Berlin: De Gruyter. 159–76. https://www.degruyter.com/view/books/9783110599572/9783110599572-010/9783110599572-010.xml.
• Carr, W.L. 1951. “Changing Emphases in the Teaching of Latin.” The Classical Outlook 28 (8): 88–90.
• Coffee, N. 2012. “Active Latin: Quo Tendimus?” Classical World 105 (2): 255–69. doi:10.1353/clw.2012.0007.
• ———. 2018. “An Agenda for the Study of Intertextuality.” TAPA 148 (1) (May 15): 205–23. doi:10.1353/apa.2018.0008.
• Coffee, N., Koenig, J.-P.-. P., Poornima, S., Ossewaarde, R., Forstall, C.W., and Jacobson, S. 2012. “Intertextuality in the Digital Age.” Transactions of the American Philological Association 142 (2): 383–422. doi:10.1353/apa.2012.0010.
• Drucker, J. 2015. “Graphical Approaches to the Digital Humanities.” In A New Companion to Digital Humanities. John Wiley & Sons, Ltd. 238–50. doi:10.1002/9781118680605.ch17. https://onlinelibrary.wiley.com/doi/abs/10.1002/9781118680605.ch17.
• Fryer, L., and Carpenter, R. 2006. “Bots as Language Learning Tools.” Language Learning & Technology 10 (3): 8–14.
• Hunt, S., Holmes-Henderson, A., and Musie, M. 2018. “Latin Is Not Dead: The Rise of Communicative Approaches to the Teaching of Latin in the United States.” Forward with Classics: Classical Languages in Schools and Communities: 89.
• Johnson, K.P., and Burns, P.J. 2018. “The Classical Language Toolkit.” Classical Language Toolkit. http://cltk.org/.
• Jurafsky, D., and Martin, J.H. 2008. Speech and Language Processing, 2nd Edition. 2nd edition. Upper Saddle River, N.J: Prentice Hall.
• Kane, D.A. 2016. “The Role of Chatbots in Teaching and Learning.” E-Learning and the Academic Library: Essays on Innovative Initiatives 131.
• Kerly, A., Hall, P., and Bull, S. 2007. “Bringing Chatbots into Education: Towards Natural Language Negotiation of Open Learner Models.” In Ellis, R., Allen, T., and Tuson, A. eds. Applications and Innovations in Intelligent Systems XIV. Springer London. 179–92.
• Khan, R., and Das, A. 2017. Build Better Chatbots: A Complete Guide to Getting Started with Chatbots. Apress.
• Krauwer, S. 2003. “The Basic Language Resource Kit (BLARK) as the First Milestone for the Language Resources Roadmap.” In Proceedings of SPECOM 2003. 8–15.
• Kuhner, J.B. 2009. “Hints/Suggestions for Beginning to Speak Latin.” Salvi Resources. http://www.latin.org/resources/documents/latinspeakinghints.php.
• Lane, H., Hapke, H., and Howard, C. 2019. Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python. Shelter Island, NY: Manning Publications.
• Lindzey, G. “The Biduum Experience: Speaking Latin to Learn.” Teaching Classical Languages 6 (1): 72–107.
• Lloyd, M.E. 2017. “Living Latin: Exploring a Communicative Approach to Latin Teaching Through a Sociocultural Perspective on Language Learning.” PhD Thesis, The Open University.
• Manning, C.D., and Schütze, H. 1999. Foundations of Statistical Natural Language Processing. Cambridge, MA.
• Mikolov, T., Chen, K., Corrado, G., and Dean, J. 2013. “Efficient Estimation of Word Representations in Vector Space.” ArXiv Preprint ArXiv:1301.3781.
• Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., and Dean, J. 2013. “Distributed Representations of Words and Phrases and Their Compositionality.” In Advances in Neural Information Processing Systems. 26:3111–3119.
• Owens, P.M. 2016. “Barbarisms at the Gate: An Analysis of Some Perils in Active Latin Pedagogy.” Classical World 109 (4): 507–23. doi:10.1353/clw.2016.0047.
• Patrick, R. 2011. “Latin Is Not Different.” SALVI VI Board Summit, July: 16–21.
• Salamanca, U., Eugenia, C., and Macq, B. “Study and Design of a Chatbot as Support of Foreign Languages Learning within an E-Learning Platform.”
• Schmidt, B.M. 2015. “Vector Space Models for the Digital Humanities.” Ben’s Bookworm Blog. http://bookworm.benschmidt.org/posts/2015-10-25-Word-Embeddings.html.
• Shah, H., Warwick, K., Vallverdú, J., and Wu, D. 2016. “Can Machines Talk? Comparison of Eliza with Modern Dialogue Systems.” Computers in Human Behavior 58: 278–95. doi:10.1016/j.chb.2016.01.004.
• Weizenbaum, J. 1966. “ELIZA—a Computer Program for the Study of Natural Language Communication between Man and Machine.” Communications of the ACM 9 (1): 36–45.
• Wilby, J. 1896. How to Speak Latin: A Series of Latin Dialogues with English Translation. Baltimore. J. Murphy.
• Winter, T.N. 1999. “Roberto Busa, S.J., and the Invention of the Machine-Generated Concordance.” Classical Bulletin 75 (1): 3–20.