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Article published In:
Translation and Interpreting Studies
Vol. 10:2 (2015) ► pp.165–186

Investigating the usefulness of machine translation for newcomers at the public library

This study investigates the potential of machine translation as an efficient and cost-effective means to translate sections of the Ottawa Public Library website into Spanish to better meet the linguistic needs of the Spanish-speaking newcomer community. One-hundred and fourteen community members participated in a recipient evaluation survey, in which they evaluated four different versions of a translated portion of the library’s website — a professional human translation, a maximally post-edited machine translation, a rapidly post-edited machine translation, and a raw machine translation. Participants also considered metadata such as the time and cost required to produce each version. Findings show that while machine translation cannot address every need, there are some instances for which the faster and cheaper post-edited versions are considered useful and acceptable to the community.
Keywords: immigrant languages, recipient evaluation, public library, machine translation, post-editing
Published online: 21 January 2016
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https://doi.org/10.1075/tis.10.2.01bow
References (37)
Allen, Jeffrey. 2003. “Post-editing.” In Computers and Translation: A Translator’s Guide, ed. by Harold Somers, 297–317. Amsterdam: John Benjamins. DOI logoGoogle Scholar
Brown, M. Katherine. 2003. “Trends in Writing for Translation.” MultiLingual Computing & Technology: Supplement on Writing for Translation 591 (October/November): 4–8.Google Scholar
Caidi, Nadia, and Danielle Allard. 2005. “Social Inclusion of Newcomers to Canada: An Information Problem?” Library and Information Science Research 27 (3): 302–324. DOI logoGoogle Scholar
Chesterman, Andrew, and Emma Wagner. 2002. Can Theory Help Translators? A Dialogue Between the Ivory Tower and the Wordface. Manchester: St. Jerome.Google Scholar
Church, Kenneth W., and Eduard H. Hovy. 1993. “Good Applications for Crummy Machine Translation.” Machine Translation 8 (4): 239–258. DOI logoGoogle Scholar
City of Ottawa. [URL]. Last accessed 22 February 2014.
Costa-Jussà, Marta R., Mireia Farrús, José B. Mariño, and José A.R. Fonollosa. 2012. “Study and Comparison of Rule-Based and Statistical Catalan-Spanish Machine Translation Systems.” Computing and Informatics 311: 245–270.Google Scholar
Edwards, John. 1992. “Sociopolitical Aspects of Language Maintenance and Loss: Towards a Typology of Minority Language Situations.” In Maintenance and Loss of Minority Languages, ed. by Willem Fase, Koen Jaspaert, and Sjaak Kroon, 37–54. Amsterdam: John Benjamins. DOI logoGoogle Scholar
Frisken, Frances, and Marcia Wallace. 2002. The Response of the Municipal Public Service Sector to the Challenge of Immigrant Settlement (Revised Edition). Citizenship and Immigration Canada. [URL]. Last accessed 24 March 2014.Google Scholar
Garcia, Ignacio. 2011. “Translating by Post-editing: Is it the Way Forward?” Machine Translation 25 (3): 217–237. DOI logoGoogle Scholar
Gauthier, François. 2012. 2012 Survey on Rates and Income. Translated by Karin Montin. Quebec, Canada: Ordre des traducteurs, terminologues et interprètes agréés du Québec.Google Scholar
George, Usha. 2002. “A Needs-based Model for Settlement Service Delivery for Newcomers to Canada.” International Social Work 45 (4): 465–480. DOI logoGoogle Scholar
Guerberof Arenas, Ana. 2009. “Productivity and Quality in the Post-editing of Outputs from Translation Memories and Machine Translation.” Localisation Focus 7 (1): 11–21.Google Scholar
Holt, Glen E. (ed). 2009. “Library Services for Immigrants, an Abridged Version.” Public Library Quarterly 28 (2): 120–126. DOI logoGoogle Scholar
Horowitz, Carol R., Mimsie Robinson, and Sarena Seifer. 2009. “Community-based Participatory Research From the Margin to the Mainstream: Are Researchers Prepared?” Circulation 1191: 2633–2642. DOI logoGoogle Scholar
International Federation of Library Associations and Institutions (IFLA). 2013. Riding the Waves or Caught in the Tide? Navigating the Evolving Information Environment. Insights from the IFLA Trend Report. The Hague: IFLA.Google Scholar
King, Margaret. 1997. “Evaluating Translation.” In Machine Translation and Translation Theory, ed. by Christina Hauenschild and Susanne Heizmann, 251–264. Berlin: Walter de Gruyter & Co. DOI logoGoogle Scholar
Koehn, Philipp, and Barry Haddow. 2009. “Interactive Assistance to Human Translators using Statistical Machine Translation Methods.” In Proceedings of MT Summit XII , Ottawa, Canada (26–30 August 2009). [URL]. Last accessed 25 November 2014.
Kohl, John. R. 2008. The Global English Style Guide: Writing Clear, Translatable Documentation for a Global Market. Cary, NC: SAS Institute, Inc.Google Scholar
Lehrberger, John, and Laurent Bourbeau. 1988. Machine Translation: Linguistic Characteristics of MT Systems and General Methodology of Evaluation. Amsterdam: John Benjamins. DOI logoGoogle Scholar
Library Settlement Partnerships (LSP) Program. [URL]. Last accessed 22 February 2014.
Loffler-Laurian, Anne-Marie. 1996. La traduction automatique. Villeneuve d’Ascq: Presses Universitaires du Septentrion. DOI logoGoogle Scholar
MacDonald, Susan. 2012. “Conceptualizing Public Library Service to Newcomers in Canada.” In Proceedings of the 40th Annual Conference of the Canadian Association for Information Science, ed. by Anabel Quan-Haase, Victoria L. Rubin, and Debbie Chaves. [URL]. Last accessed 2 March 2014.Google Scholar
Minkler, Meredith, and Nina Wallerstein (eds). 2008. Community-Based Participatory Research for Health: From Process to Outcomes (Second edition). San Francisco: Jossey-Bass.Google Scholar
Ó Broin, Ultan. 2009. “Controlled Authoring to Improve Localization.” MultiLingual: Getting Started Guide on Writing for Translation (October/November): 12–14.Google Scholar
O’Brien, Sharon. 2003. “Controlling Controlled English: An Analysis of Several Controlled Language Rule Sets.” In Proceedings of the Joint Conference combining the 8th International Workshop of the European Association for Machine Translation and the 4th Controlled Language Applications Workshop (Dublin, 15–17 May 2003) . [URL]. Last accessed 28 November 2014.
Ottawa Public Library (Newcomers): [URL] [Retrieved November 25, 2014]
Papineni, Kishore, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. “BLEU: A Method for Automatic Evaluation of Machine Translation.” In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, 311–318. Stroudsberg, PA. [URL]. Last accessed 28 August 2015.
Polvsen, Claus, Nancy Underwood, Bradley Music, and Anne Neville. 1998. “Evaluating Text-type Suitability for Machine Translation a Case Study on an English-Danish MT System.” In Proceedings of the First International Conference on Language Resources and Evaluation, Vol. 11, ed. by Antonio Rubio, Natividad Gallardo, Rosa Castro, and Antonio Tejada, 27–31. Paris: European Language Resources Association.Google Scholar
Sichel, Barb. 2009. “Planning and Writing for Translation.” MultiLingual: Getting Started Guide on Writing for Translation (October/November): 3–4.Google Scholar
Simard, Michel, and Pierre Isabelle. 2009. “Phrase-based Machine Translation in a Computer-assisted Translation Environment.” In Proceedings of MT Summit XII , Ottawa, Canada (26–30 August 2009). [URL] [Retrieved November 25, 2014].
Statistics Canada. 2011. 2011 Census of Canada. [URL]. Last accessed 20 February 2014.Google Scholar
Thurmair, Gregor. 2004. “Comparing Rule-based and Statistical MT Output.” In Proceedings of the Language Resources and Evaluation Conference (LREC) 2014 Workshop on the Amazing Utility of Parallel and Comparable Corpora . [URL]. Last accessed 25 November 2014.
Translation Automation User Society (TAUS). “Post-editing Guidelines.” [URL]. Last accessed 2 March 2014.
Trujillo, Arturo. 1999. Translation Engines: Techniques for Machine Translation. London: Springer. DOI logoGoogle Scholar
White, John S. 2003. “How to Evaluate Machine Translation.” In Computers and Translation: A Translator’s Guide, ed.by Harold Somers, 211–244. Amsterdam: John Benjamins. DOI logoGoogle Scholar
Willison, Kevin D. 2013. “Maximizing Chronic Disease Prevention and Management through Community Based Participatory Research and Inter-collaborative Practices.” Open Journal of Social Science Research 1 (1): 7–14. DOI logoGoogle Scholar
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