A Fluency Error Categorization Scheme to Guide Automated Machine Translation Evaluation-Reference-Cited by-同舟云学术

A Fluency Error Categorization Scheme to Guide Automated Machine Translation Evaluation

Published:2004 Issue: Volume: Page:64-73
ISSN:0302-9743
Container-title:Machine Translation: From Real Users to Research
language:
Short-container-title:

Author:

Elliott Debbie,Hartley Anthony,Atwell Eric

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-30194-3_8.pdf

Reference22 articles.

1. White, J.S.: How to evaluate machine translation. In: Somers, H. (ed.) Computers and translation: a translator’s guide, pp. 211–244. J. Benjamins, Amsterdam (2003)

2. FEMTI: A Framework for the Evaluation of Machine Translation in ISLE (2004), http://www.issco.unige.ch/projects/isle/femti/

3. Papineni, K., Roukos, S., Ward, T., Zhu, W.: Bleu: a Method for Automatic Evaluation of Machine Translation. IBM Research Report RC22176. IBM: Yorktown Heights, NY (2001)

4. Akiba, Y., Imamura, K., Sumita, E.: Using multiple edit distances to automatically rank machine translation output. In: Proceedings of MT Summit VIII, Santiago de Compostela, Spain (2001)

5. Akiba, Y., Sumita, E., Nakaiwa, H., Yamamoto, S., Okuno, H.G.: Experimental Comparison of MT Evaluation Methods: RED vs. BLEU. In: Proceedings of MT Summit IX, New Orleans, Louisiana (2003)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Challenges of machine translation application to teaching ESP to construction students;2nd International Conference on New Trends in Linguistics, Literature and Language Education (3L-Edu 2022);2023-05-30

2. Evaluating MT for massive open online courses;Machine Translation;2018-08-17

3. A linguistically motivated taxonomy for Machine Translation error analysis;Machine Translation;2015-06