Open Access
Issue
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
Article Number 03005
Number of page(s) 5
Section Digital Signal and Image Processing
DOI https://doi.org/10.1051/matecconf/201817303005
Published online 19 June 2018
  1. B.Wang: Research on Technologies of Evaluation and Diagnosis of Machine Translation Dissertation for the Doctoral Degree in Engineering, 2010 (In Chinese) [Google Scholar]
  2. K.Papineni,S.Roukos,T.Ward, W.Zhu.BLEU: a method for automatic evaluation of MT. IBM research division, T J Watson Research Centre, Research Report: Computer Science RC22176 (W0109-022), 2001. [Google Scholar]
  3. S. Yokoyama, H. Kashioka, etc. An automatic evaluation method for machine translation using two-way MT. MT summit conference. Santiago de Compostela, 2001: 568~573 [Google Scholar]
  4. K. Yasuda, F. Sugaya, etc. An automatic evaluation method of translation quality using translation answer candidates queried from a parallel corpus. MT summit conference. Santiago de Compostela, 2001: 373~378 [Google Scholar]
  5. Y. Akiba, K. Imamura, E. Sumita. Using multiple edit distances to automatically rank machine translation output. MT summit conference. Santiago de Compostela, 2001: 15~20 [Google Scholar]
  6. Thomas L.Saaty, Luis G. Vargas: Models, Methods, Concepts & Applications of the Analytic Hierarchy Process, Springer Science+Business Media New York, 2012 pp.23–40, 100–102, 149–158, 161–165, 203–247. [CrossRef] [Google Scholar]
  7. H. L Zhang, Parametric Analysis on Evaluation of Translation Quality, Yilin, 2011. No8 p70-76 [Google Scholar]
  8. Wuensch, Karl L. What is a Likert Scale? And How Do You Pronounce 'Likert?'. East Carolina University. October 4, 2005. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.