Machine-assisted translation of literary text
A case study
Antonio Toral | ADAPT Centre
Andy Way | School of Computing, Dublin City University
Contrary to perceived wisdom, we explore the role of machine translation (MT) in assisting with the translation of literary texts, considering both its limitations and its potential. Our motivations to explore this subject are twofold, arising from: (1) recent research advances in MT, and (2) the recent emergence of the ebook, which together allow us for the first time to build literature-specific MT systems by training statistical MT models on novels and their professional translations. A key challenge in literary translation is that one needs to preserve not only the meaning (as in other domains such as technical translation) but also the reading experience, so a literary translator needs to carefully select from the possible translation options. We explore the role of translation options in literary translation, especially in the context of the relatedness of the languages involved. We take Camus’ L’Étranger in the original French language and provide qualitative and quantitative analyses for its translations into English (a less-related language) and Italian (more closely related). Unsurprisingly, the MT output for Italian seems more straightforward to be post-edited. We also show that the performance of MT has improved over the last two years for this particular book, and that the applicability of MT does not only depend on the text to be translated but also on the type of translation that we are trying to produce. We then translate a novel from Spanish-to-Catalan with a literature-specific MT system. We assess the potential of this approach by discussing the translation quality of several representative passages.
Keywords: machine translation of literary text, human translation, literary translation, machine translation, statistical machine translation
Published online: 28 January 2016
https://doi.org/10.1075/ts.4.2.04tor
https://doi.org/10.1075/ts.4.2.04tor
References
Bellos, David
2012 Is That a Fish in Your Ear?: Translation and the Meaning of Everything. London: Particular Books.
Besacier, Laurent
2014 “Traduction automatisée d-une oeuvre littéraire: une étude pilote. In
Traitement Automatique du Langage Naturel (TALN)
, Marseille, France. Accessed June 1, 2015. https://hal.archives-ouvertes.fr/hal-01003944/document.
Brown, Peter, John Cocke, Stephen Della Pietra, Vincent Della Pietra, Fred Jelinek, John Lafferty, Robert Mercer, and Paul Roosin
1990 “A Statistical Approach to Machine Translation. Computational Linguistics 161: 79–85.
Brown, Peter, Stephen Della Pietra, Vincent Della Pietra, and Robert Mercer
1993 “The Mathematics of Statistical Machine Translation: Parameter Estimation. Computational Linguistics 191: 263–311.
Camus, Albert
1942 L’Étranger. Paris: Librairie Gallimard.
1946 The Stranger (translated by Stuart Gilbert). New York: Alfred A. Knopf.
1989 The Stranger (translated by Matthew Ward). New York: Knopf Doubleday Publishing.
1987 Lo straniero (translated by Alberto Zevi). Milan: Bompiani.
Fancellu, Federico, Morgan O’Brien, and Andy Way
2014 “Standard Language Variety Conversion Using SMT. In EAMT-2014: Proceedings of the Seventeenth Annual Conference of the European Association for Machine Translation, edited by Marko Tadić, Philipp Koehn, Johann Roturier, and Andy Way, 143–149. Dubrovnik, Croatia: EAMT.
Genzel, Dmitriy, Jakob Uszkoreit, and Franz Och
2010 “ ‘Poetic’ Statistical Machine Translation: Rhyme and Meter. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, edited by Hang Li and Luıs Marquez, 158–166. Stroudsburg, PA: ACL.
Graham, Yvette, Timothy Baldwin, Alistair Moffat, and Justin Zobel
2014 “Is Machine Translation Getting Better Over Time? In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, edited by Sharon Goldwater and Stefan Riezler, 443–451. Gothenburg, Sweden: EACL. 
Greene, Erica, Tugba Bodrumlu, and Kevin Knight
2010 “Automatic Analysis of Rhythmic Poetry with Applications to Generation and Translation. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, edited by Hang Li and Luıs Marquez, 524–533. Cambridge, MA: ACL.
Hardmeier, Christian
2014 Discourse in Statistical Machine Translation. Doctoral Dissertation, University of Uppsala, Uppsala, Sweden.
Hearne, Mary, and Andy Way
2011 “Statistical Machine Translation: A Guide for Linguists and Translators. Language and Linguistics Compass 51: 205–226.
Jones, Ruth, and Ann Irvine
2013 “The (Un)faithful Machine Translator In Proceedings of the 7th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, edited by Piroska Lendvai and Kalliopi Zervanou, 96–101. Stroudsburg, PA: ACL.
Kelly, Nataly, and Jost Zetzsche
2012 Found in Translation: How Language Shapes Our Lives and Transforms the World. New York: Perigee Trade.
Landers, Clifford E
2001 Literary Translation: A Practical Guide. Bristol: Multilingual Matters.
Li, Linlin, and Caroline Sporleder
2010 “Using Gaussian Mixture Models to Detect Figurative Language in Context. In Proceedings of the 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, edited by Jill Burstein, Mary Harper, and Gerald Penn, 297–300. Stroudsburg, PA: ACL.
Lønning, Jan T., Stephan Oepen, Dorothee Beermann, Lars Hellan, John Carroll, Helge Dyvik, Dan Flickinger, Janne Bondi Johannessen, Paul Meurer, Torbjørn Nordgård, Victoria Rosén, and Erik Velldal
2004 “LOGON. A Norwegian MT Effort. In
Proceedings of the Workshop in Recent Advances in Scandinavian Machine Translation
. Uppsala, Sweden. Accessed June 15, 2015. http://stp.lingfil.uu.se/RASMAT/extended_abstracts/LOGON.pdf.
Meyer, Thomas
2014 Discourse-level Features for Statistical Machine Translation. Doctoral Dissertation, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Nida, Eugene, and Charles Taber
1969 The Theory and Practice of Translation, with Special Reference to Bible Translating. Leiden: Brill.
O’Brien, Sharon
2011 “Towards Predicting Post-editing Productivity. Machine Translation 25(3): 197–215.
Och, Franz, and Hermann Ney
2002 “Discriminative Training and Maximum Entropy Models for Statistical Machine Translation. In ACL-2002: 40th Annual Meeting of the Association for Computational Linguistics, edited by Pierre Isabelle, 295–302. Stroudsburg, PA: ACL.
Papineni, Kishore, Salim Roukos, Todd Ward, and Wei-Jing Zhu
2002 “BLEU: A Method for Automatic Evaluation of Machine Translation. In ACL-2002: 40th Annual Meeting of the Association for Computational Linguistics, edited by Pierre Isabelle, 311–318. Stroudsburg, PA: ACL.
Penkale, Sergio, and Andy Way
2013 “Tailor-made Quality-controlled Translation.
Proceedings of Translating and the Computer 35
. Accessed June 1, 2015. http://www.computing.dcu.ie/~away/PUBS/2013/Penkale_and_Way_ASLIB_2013.pdf.
Reyes, Antonio
2012 Linguistic-based Patterns for Figurative Language Processing: The Case of Humor Recognition and Irony Detection. Doctoral Dissertation. Universitat Politècnica de València, Valencia, Spain.
Richardson, Stephen
2012 “Using the Microsoft Translator Hub at The Church of Jesus Christ of Latter-day Saints. Accessed July 1, 2015. http://amta2012.amtaweb.org/AMTA2012Files/papers/Richardson.pdf.
Ruiz Zafón, Carlos
2011 El Prisionero del Cielo. Barcelona: Planeta.
2012 The Prisoner of Heaven (translated by Lucia Graves). London: Weidenfeld & Nicholson.
2012 El Presoner del Cel (translated by Josep Pelfort Gregori). Barcelona: Planeta.
Snell-Hornby, Mary
1995 Translation Studies, an Integrated Approach. Amsterdam: John Benjamins.
Shutova, Ekaterina, Tony Veale, and Beata Klebanov
2015 Computational Modelling of Metaphor. San Rafael, CA: Morgan and Claypool.
Snover, Matthew, Bonnie Dorr, Richard Schwartz, Linnea Micciulla, and Ralph Weischedel
2006 “A Study of Translation Error Rate with Targeted Human Annotation. Accessed June 1, 2015. http://lampsrv02.umiacs.umd.edu/pubs/TechReports/LAMP_126/LAMP_126.pdf.
Toral, Antonio, and Andy Way
2014 “Is Machine Translation Ready for Literature? Accessed June 1, 2015. http://www.translatingandthecomputer.com/#!antonio-toral-1-abstractbio/cheb.
2015 “Translating Literary Text between Related Languages Using SMT.
Proceedings of the Fourth Workshop on Computational Linguistics for Literature, NAACL
, Denver, Colorado, USA. Accessed June 1, 2015. http://www.aclweb.org/anthology/W15-0714.
Varga, Dániel, László Németh, Péter Halácsy, Andrés Kornai, Viktor Trón, and Viktor Nagy
2005 “Parallel Corpora for Medium Density Languages.
Recent Advances in Natural Language Processing
, Borovets, Bulgaria. Accessed June 1, 2015. http://www.kornai.com/Papers/ranlp05parallel.pdf.
Venuti, Lawrence
2008 The Translator’s Invisibility: A History of Translation. New York: Routledge.
Voigt, Rob, and Dan Jurafsky
2012 “Towards a Literary Machine Translation: The Role of Referential Cohesion.
Proceedings of the NAACL-HLT 2012 Workshop on Computational Linguistics for Literature
, Montreal, Quebec, Canada. Accessed July 1, 2015. http://stanford.edu/~jurafsky/voigtjurafsky12.pdf.
Way, Andy
2012 “Is That a Fish in Your Ear: Translation and the Meaning of Everything – David Bellos, Book Review. Machine Translation 26 (3): 255–269.
2013 “Traditional and Emerging Use-Cases for Machine Translation.
Proceedings of Translating and the Computer 35
. Accessed June 15, 2015. http://www.computing.dcu.ie/~away/PUBS/2013/Way_ASLIB_2013.pdf.
Way, Andy, and Mary Hearne
2011 “On the Role of Translations in State-of-the-Art Statistical Machine Translation. Language and Linguistics Compass 51: 227–248.
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► pp. 263 ff.
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