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    <abstract>This paper experimentally compares two automatic evaluators, RED and BLEU, to determine how close the evaluation results of each automatic evaluator are to average evaluation results by human evaluators, following the ATR standard of MT evaluation. This paper gives several cautionary remarks intended to prevent MT developers from drawing misleading conclusions when using the automatic evaluators. In addition, this paper reports a way of using the automatic evaluators so that their results agree with those of human evaluators.</abstract>
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%0 Conference Proceedings
%T Experimental comparison of MT evaluation methods: RED vs.BLEU
%A Akiba, Yasuhiro
%A Sumita, Eiichiro
%A Nakaiwa, Hiromi
%A Yamamoto, Seiichi
%A Okuno, Hiroshi G.
%S Proceedings of Machine Translation Summit IX: Papers
%D 2003
%8 sep 23 27
%C New Orleans, USA
%F akiba-etal-2003-experimental
%X This paper experimentally compares two automatic evaluators, RED and BLEU, to determine how close the evaluation results of each automatic evaluator are to average evaluation results by human evaluators, following the ATR standard of MT evaluation. This paper gives several cautionary remarks intended to prevent MT developers from drawing misleading conclusions when using the automatic evaluators. In addition, this paper reports a way of using the automatic evaluators so that their results agree with those of human evaluators.
%U https://aclanthology.org/2003.mtsummit-papers.1

Markdown (Informal)

[Experimental comparison of MT evaluation methods: RED vs.BLEU](https://aclanthology.org/2003.mtsummit-papers.1) (Akiba et al., MTSummit 2003)

• Experimental comparison of MT evaluation methods: RED vs.BLEU (Akiba et al., MTSummit 2003)

ACL

• Yasuhiro Akiba, Eiichiro Sumita, Hiromi Nakaiwa, Seiichi Yamamoto, and Hiroshi G. Okuno. 2003. Experimental comparison of MT evaluation methods: RED vs.BLEU. In Proceedings of Machine Translation Summit IX: Papers, New Orleans, USA.