Improving Translation Quality By Using Ensemble Approach
Machine translation (MT) has been a topic of great research during the last sixty years, but, improving its quality is still considered an open problem. In the current paper, we will discuss improvements in MT quality by the use of the ensemble approach. We performed MT from English to Hindi using 6 MT different engines described in this paper. We found that the quality of MT is improved by using a combination of various approaches as compared to the simple baseline approach for performing MT from source to target text.
Keywords:machine translation, named entity translation, natural language processing, source text rewriting
R. Srivastava, R. A. Bhat, “Transliteration systems across indian languages using parallel corpora”, 27th Pacific Asia Conference on Language, Information, and Computation, pp. 390-398, Taiwan, November 21-24, 2013
V. H. Yngve, “The machine and the man”, Mechanical Translation, Vol. 1, No. 2, pp. 20-22, 1954
B. Vauquois, “A survey of formal grammars and algorithms for recognition and transformation in machine translation”, IFIP Congress (2), Vol. 68, pp. 1114-1122, UK, August 5-10, 1968
W. Weaver, “Translation”, in: Machine Translation of Languages, pp. 15-23, 1955
N. Joshi, I. Mathur, H. Darbari, A. Kumar, “HEval: Yet another human evaluation metric”, International Journal on Natural Language Computing, Vol. 2, No. 5, pp. 21-36, 2013 DOI: https://doi.org/10.5121/ijnlc.2013.2502
How to Cite
MetricsAbstract Views: 333
PDF Downloads: 238
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.