The brief.
This was the big one! The final assignment for the whole course. We needed to research thoroughly one innovation or development in technology related to writing and reading, considering the impacts its had on literacy and education. We could choose from a variety of modes to express our ideas. Given my difficulties with audio/video, I could choose from text only or an infographic. I decided to try to take on the challenge of distilling my complex topic into a single visual.
References
Bahdanau, D., Cho, K., & Bengio, Y. (2015). Neural machine translation by jointly learning to align and translate it. International Conference on Learning Representations. ICLR 2015. https://arxiv.org/abs/1409.0473
Burchardt, A., Lommel, A., & Macketanz, V. (2020). A new deal for translation quality. Universal Access in the Information Society (2021)20, 701-715. https://doi.org/10.1007/s10209-020-00736-5
Kelly, R., & Hou, H. (2021). Empowering learners of English as an
additional language: Translanguaging with machine translation. Language and Education. https://doi.org/10.1080/09500782.2021.1958834
Norman, J. (n.d.). Warren Weaver suggests applying cryptanalysis techniques to translation. History of information.com. https://www.historyofinformation.com/detail.php?id=2990
Poibeau, T. (2017). Machine translation. The MIT Press. http://doi-org.eu1.proxy.openathens.net/10.7551/mitpress/11043.001.0001
Stankeviciute, G., Kasperaviciene, R., & Horbacauskiene, J. (2017). Issues in machine translation. International Journal on Language, Literature, and Culture in Education, (4)1, 75-88.
Sutskever, I., Vinyals, O., & Le, Q. V. (2014). Sequence to sequence learning with neural networks. NIPS. https://arxiv.org/abs/1409.3215
Tomalin, M., Byrne, B., Concannon, S., Saunders, D., & Ullmann, S. (2021). The practical ethics of bias reduction in machine translation: Why domain adaptation is better than data debiasing. Ethics and Information Technology (2021)23, 419-433. https://doi.org/10.1007/s10676-021-09583-1
Wang, H., Wu, H., He, Z., Huang, L., & Church, K. W. (2021). Progress in machine translation. Engineering. http://doi.org/10.1016/j.eng.2021.03.023
The takeaways.
I honestly found it very difficult to synthesize my information visually, in a way that was personal and told a visual story. I think I might have needed a narrower topic, or to have perhaps chosen the article option. However, I stuck with it because I think the main purpose of an infographic is to distill complex information down to something manageable and accessible. Did I get there? I certainly tried.