A Comprehensive Survey on Various Fully Automatic Machine Translation Evaluation Metrics

Author:

Chauhan ShwetaORCID,Daniel Philemon

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference117 articles.

1. Blatz J, Fitzgerald E, Foster G, Gandrabur S, Goutte C, Kulesza A, Sanchis A, Ueffing N (2004) Confidence estimation for machine translation. In: Proceedings of the 20th international conference on computational linguistics, Geneva, Switzerland, pp 315–321

2. Mariani J (2005) Developing language technologies with the support of language resources and evaluation programs. Lang Resour Eval 39(1):35–44

3. Bentivogli L, Cettolo M, Federico M, Federmann C (2018) Machine translation human evaluation: an investigation of evaluation based on post-editing and its relation with direct assessment. In: Proceedings of the international workshop on spoken language translation, Bruges, Belgium, pp 62–69

4. Gonzàlez M, Giménez J (2014) Asiya. An open toolkit for automatic machine translation (meta-)evaluation. Technical Manual, version 3.0. TALP Research Center, LSI Department, Universitat Politècnica de Catalunya. http://asiya.lsi.upc.edu/Asiya_technical_manual_v3.0.pdf

5. Graham Y, Baldwin T, Moffat A, Zobel J (2015) Can machine translation systems be evaluated by the crowd alone. Nat Lang Eng 23(1):3–30

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