Abstract
Translation quality and its evaluation play a crucial role in the field of machine translation (MT). This paper focuses on the quality assessment of automatic metrics for MT evaluation. In our study we assess the reliability and validity of the following automatic metrics: Position-independent Error Rate (PER), Word Error Rate (WER) and Cover Disjoint Error Rate (CDER). These metrics define an error rate of MT output and also of MT system itself, in our case it is an on-line statistical MT system. The results of the reliability analysis showed that these automatic metrics for MT evaluation are reliable and valid, whereby the validity and reliability were verified for one translation direction: from the minority language (Slovak) into English.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
House, J.: Translation Quality Assessment: a Model Revisited. Tubingen, Narr (1997)
Nord, Ch.: Text Analysis in Translation. Theory, Methodology, and Didactic Application of a Model for Translation-Oriented Text Analysis. Amsterdam, Rodopi (2005)
Papineni, K., Roukos, S., Ward, T., Zhu, W.: BLEU: a method for automatic evaluation of machine translation. In: ACL ’02, pp. 311–318 (2002)
Vilar, D., Leusch, G., Ney, H., Banchs, R.E: Human evaluation of machine translation through binary system comparisons. In: StatMT ’07, pp. 96–103 (2007)
Banerjee, S., Lavie, A.: METEOR: an automatic metric for MT evaluation with improved correlation with human judgments. In: ACL ‘05 pp. 65–72 (2005)
Callison-Burch, Ch., Fordyce, C., Koehn, P., Monz, Ch., Schroeder, J.: (Meta-) evaluation of machine translation. In: StatMT ’07, pp. 136–158 (2007)
Popovic M., Ney, H.: Word error rates: decomposition over POS classes and applications for error analysis. In: ACL ’07 WSMT (2007)
Gornostay, T.: Machine translation evaluation. http://www.ida.liu.se/labs/nlplab/gslt/mt-course/info/TatianaG_assignment1.pdf (2008). Accessed 22 June 2014
Doddington, G.: Automatic evaluation of machine translation quality using n-gram co-occurrence statistics. In: HLT-02, pp. 138–145 (2002)
Snover, M., Dorr, B., Schwartz, R., Micciulla, L., Makhoul, J.: A study of translation edit rate with targeted human annotation. In: ASMTA (2006)
Koehn, P.: Statistical Machine Translation. Cambridge University Press (2010)
Lavie, A., Agarwal, A.: Meteor: an automatic metric for mt evaluation with high levels of correlation with human judgments. In: ACL ’07 WSMT, pp. 228–231 (2007)
Pilkova, A., Volna, J., Papula, J., Holienka, M.: The influence of intellectual capital on firm performance among slovak smes. In: ICICKM-2013, pp. 329–338 (2013)
Munková, D., Munk, M., Adamová, Ľ.: Modelling of language processing dependence on morphological features. In: Advances in Intelligent Systems and Computing (2013) 77-86
Munková, D., Munk, M., Vozár, M.: Data pre-processing evaluation for text mining: transaction/sequence model. In: ICCS 2013, pp. 1198–1207 (2013)
Munková, D., Munk, M., Vozár, M.: Influence of stop-words removal on sequence patterns identification within comparable corpora. In: Advances in Intelligent Systems and Computing, pp. 67–76 (2013)
Acknowledgments
This work was supported by the Slovak Research and Development Agency under the contract No. APVV-14-0336 and Scientific Grant Agency of the Ministry of Education of the Slovak Republic (ME SR) and of Slovak Academy of Sciences (SAS) under the contracts No. VEGA-1/0559/14 and No. VEGA-1/0392/13.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Munková, D., Munk, M. (2016). Automatic Metrics for Machine Translation Evaluation and Minority Languages. In: El Oualkadi, A., Choubani, F., El Moussati, A. (eds) Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015. Lecture Notes in Electrical Engineering, vol 381. Springer, Cham. https://doi.org/10.1007/978-3-319-30298-0_69
Download citation
DOI: https://doi.org/10.1007/978-3-319-30298-0_69
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-30296-6
Online ISBN: 978-3-319-30298-0
eBook Packages: EngineeringEngineering (R0)