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Research Article
A technique for evaluating translator performance
A.J. Dhavale1
Soma Chattopadhyay2
12 Dept. of Computer Science, Kavikulguru Institute of Technology and Science Ramtek, Maharashtra, India.
Published Online: January-February 2023
Pages: 17-18
Cite this article
No DOIReferences
[1] Appraise:an Open-Source Tool kit for Manual Evaluation of MT Output, Christian Federmann Language Technology Lab, German
Research Center for Artificial Intelligence,Stuhlsatzenhausweg3, D-66123 Saarbr¨ucken,Germany cfedermann @dfki.de
[2] Efficient solutions for word reordering in German- English phrase-based statistical machine translation,Arianna Bisazza and
Marcello Federico Fondazione Bruno Kessler Trento,Italy{bisazza,federico}@fbk.eu
[3] Better Evaluation Metrics Lead to Better Machine Translation Chang Liu1 and Daniel Dahlmeier2 and Hwee TouNg1,21
Department of ComputerScience, National University of Singapore 2NUS Graduate School for Integrative Sciences and
Engineering{liuchan1,danielhe,nght}@comp.nus.edu.sg
Research Center for Artificial Intelligence,Stuhlsatzenhausweg3, D-66123 Saarbr¨ucken,Germany cfedermann @dfki.de
[2] Efficient solutions for word reordering in German- English phrase-based statistical machine translation,Arianna Bisazza and
Marcello Federico Fondazione Bruno Kessler Trento,Italy{bisazza,federico}@fbk.eu
[3] Better Evaluation Metrics Lead to Better Machine Translation Chang Liu1 and Daniel Dahlmeier2 and Hwee TouNg1,21
Department of ComputerScience, National University of Singapore 2NUS Graduate School for Integrative Sciences and
Engineering{liuchan1,danielhe,nght}@comp.nus.edu.sg
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