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8 Translation Technologies
Gabriel Bodard edited this page Nov 29, 2020
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Thursday November 26, 16:00 UK = 17:00 CET
Convenors: Franziska Naether (Leipzig), Chiara Palladino (Furman)
YouTube link: https://youtu.be/FzOvKMnqLaM
Slides: tba
- Introduction: translation technologies
- Principles and theoretical aspects of text alignment
- Available tools for text alignment
- Applications: automatic translation alignment, graph databases, dynamic lexicon
- Live Demo of Ugarit with the Digital Rosetta Stone Project
- Presentation of the exercise
[For discussion in this forum thread.]
- Tariq Yousef (2019), "Ugarit: Translation Alignment Visualization". LEVIA’19: Leipzig Symposium on Visualization in Applications 2019. Leipzig. Available: https://osf.io/thsp5.
- Tamara Pataridze & Bastien Kindt (2018). "Text Alignment in Ancient Greek and Georgian: A Case-Study on the First Homily of Gregory of Nazianzus." Journal of Data Mining and Digital Humanities. Available: https://jdmdh.episciences.org/4182/pdf
- Gregory Crane (2019), "Beyond Translation: Language Hacking and Philology." Harvard Data Science Review 1.2. Available: https://doi.org/10.1162/99608f92.282ad764
- Philipp Koehn (2009). Statistical Machine Translation, Chapter 4: “Word-Based Models.” Cambridge University Press
- Despoina Panou (2013). “Equivalence in Translation Theories: A Critical Evaluation, Theory and Practice.” Language Studies 3.1, pp. 1-6. Available: http://www.academypublication.com/issues/past/tpls/vol03/01/01.pdf
- Raquel de Pedro (1999). The Translatability of Texts: A Historical Overview. Meta, XLIV, 4, 1999. Available: http://www3.uji.es/~aferna/EA0921/4a-Translatability.pdf
- Ugarit iAligner
- Digital Rosetta Stone project
- “The Digital Rosetta Stone: textual alignment and linguistic annotation.” (Slides by Monica Berti, Julia Jushaninowa, Franziska Naether, Giuseppe G. A. Celano, Polina Yordanova.) Available: https://www.academia.edu/25184052/The_Digital_Rosetta_Stone_Textual_Alignment_and_Linguistic_Annotation
- Go to Ugarit and create a bilingual alignment of a parallel corpus of your choice (or feel free to use our suggestion: Bible parallel corpus in different languages). Choose two languages that you are familiar with and focus on the differences across translation: what words align perfectly? What words align imperfectly, or not at all? What words are missing across the two texts? What is the overall percentage of matches?
- After you have completed the bilingual alignment, choose a parallel text in a third language that you do not know and perform a trilingual alignment. See how much of the third language you can align, by using the two other languages as an aid for better understanding.
[If you have any difficulty with this exercise, you can use this forum thread to ask for help.]