Abstract
Machine translation (MT) is most often used for texts of publishable quality. However, there is increasing interest in providing translations of user-generated content in customer forums. This paper describes research towards addressing this challenge by automatically improving the quality of community forum data to improve MT results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aikawa, T., Schwartz, L., King, R., Corston-Oliver, M., Lozano, C.: Impact of controlled language on translation quality and post-editing in a statistical machine translation environment. In: Proceedings of MT Summit XI, Copenhagen, Denmark, pp. 1–7 (2007)
Allen, J.: Postediting: an integrated part of a translation software program. In: Language International, pp. 26–29 (April 2001)
de Sousa, S., Aziz, W., Specia, L.: Assessing the Post-Editing Effort for Automatic and Semi-Automatic Translations of DVD Subtitles. In: Proceedings of the International Conference Recent Advances in Natural Language Processing 2011, Hissar, Bulgaria, pp. 97–103. RANLP 2011 Organising Committee (September 2011)
Dugast, L., Senellart, J., Koehn, P.: Statistical post-editing on SYSTRAN’s rule-based translation system. In: Proceedings of the Second Workshop on Statistical Machine Translation, Prague, Czech Republic, pp. 220–223. Association for Computational Linguistics (June 2007)
Eisele, A.: Hybrid Architectures for Better Machine Translation. GSCL WS ”Kosten und Nutzen von MT”, Potsdam (September 2009)
Garcia, I.: Translating by post-editing: is it the way forward? Machine Translation 25, 217–237 (2011), doi:10.1007/s10590-011-9115-8
Guzmán, R.: Advanced automatic mt postediting. Multiling Computing 19(3), 52–57 (2008)
Koehn, P.: Statistical Machine Translation. Cambridge University Press (2010)
Kohl, J.: The Global English Style Guide. Writing Clear, Translatable Documentation for a Global Market. SAS Institute INC, Cary NC (2008)
Lin, C.-Y., Och, F.J.: Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics. In: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, Barcelona, Spain (2004)
Melamed, I., Green, R., Turian, J.: Precision and recall of machine translation. In: Proceedings of HLT-NAACL: Short Papers (2003)
O’Brien, S., Roturier, J.: How Portable are Controlled Languages Rules? A Comparison of Two Empirical MT Studies. In: Proceedings of MT Summit XI, Copenhagen, Denmark, pp. 345–352 (2007)
Plitt, M., Masselot, F.: A Productivity Test of Statistical Machine Translation Post-Editing in a Typical Localisation Context. The Prague Bulletin of Mathematical Linguistics 93, 7–16 (2010)
Simard, M., Ueffing, N., Isabelle, P., Kuhn, R.: Rule-Based Translation with Statistical Phrase-Based Post-Editing. In: Proceedings of the Second Workshop on Statistical Machine Translation, Prague, Czech Republic, pp. 203–206. Association for Computational Linguistics (June 2007)
Snover, M., Dorr, B., Schwartz, R., Micciulla, L., Makhoul, J.: A Study of Translation Edit Rate with Targeted Human Annotation. In: Proceedings of the 7th Conference of the Association for Machine Translation of the Americas, Cambridge, Massachusetts (2006)
Somers, H.L.: Translation Memory Systems. In: Somers, H.L. (ed.) Computers and Translation: A Translator’s Guide, pp. 31–48. John Benjamins Publishing Company, Amsterdam (2003)
Specia, L.: Exploiting objective annotations for measuring translation post-editing effort. In: Proceedings of the 15th International Conference of the European Association for Machine Translation, Leuven, Belgium, pp. 73–80 (2011)
Stymne, S., Ahrenberg, L.: Using a grammar checker for evaluation and postprocessing of statistical machine translation. In: Calzolari, N., Choukri, K., Maegaard, B., Mariani, J., Odijk, J., Piperidis, S., Rosner, M., Tapias, D. (eds.) Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010), Valletta, Malta. European Language Resources Association (ELRA) (May 2010)
Temnikova, I.: Cognitive evaluation approach for a controlled language post-editing experiment. In: Calzolari, N., Choukri, K., Maegaard, B., Mariani, J., Odijk, J., Piperidis, S., Rosner, M., Tapias, D. (eds.) Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010), Valletta, Malta. European Language Resources Association (ELRA) (May 2010)
Thicke, L.: Improving MT results: a study. Multilingual 22(1), 37–40 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lehmann, S. et al. (2012). Applying CNL Authoring Support to Improve Machine Translation of Forum Data. In: Kuhn, T., Fuchs, N.E. (eds) Controlled Natural Language. CNL 2012. Lecture Notes in Computer Science(), vol 7427. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32612-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-32612-7_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32611-0
Online ISBN: 978-3-642-32612-7
eBook Packages: Computer ScienceComputer Science (R0)