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Neural MT and Human Post-editing : a Method to Improve Editorial Quality
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In: ISSN: 1134-8941 ; Interlingüística ; https://halshs.archives-ouvertes.fr/halshs-03603590 ; Interlingüística, Alacant [Spain] : Universitat Autònoma de Barcelona, 2022, pp.15-36 (2022)
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Human evaluation of three machine translation systems : from quality to attitudes by professional translators
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Quantitative Fine-grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian
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In: Articles (2018)
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Human-Guided Evolutionary-Based Linguistics Approach For Automatic Story Generation ...
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MSEE: Stochastic Cognitive Linguistic Behavior Models for Semantic Sensing
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In: DTIC (2013)
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English → Russian MT evaluation campaign
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In: ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (2013)
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Human-Guided Evolutionary-Based Linguistics Approach For Automatic Story Generation
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Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
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Task muddiness, intelligence metrics, and the necessity of autonomous mental development
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In: http://www.cse.msu.edu/~cse841/papers/MuddyTasks.pdf (2009)
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A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping ...
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A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping
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Automating Convoy Training Assessment to Improve Soldier Performance
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In: DTIC (2008)
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Differential Effect of Correct Name Translation on Human and Automated Judgments of Translation Acceptability: A Pilot Study
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In: DTIC (2008)
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Automatic Computation of . . .
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In: http://www.informatik.uni-freiburg.de/~ksimon/papers/CIKM-06-Proximity.pdf (2006)
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Toward Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings
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In: DTIC (2005)
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Symposium on Speech Communication Metrics and Human Performance.
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In: DTIC AND NTIS (1995)
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Structural analysis of hypertexts: Identifying hierarchies and useful metrics
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In: http://www.cs.technion.ac.il/~ehudr/publications/pdf/BotafogoRS92a.pdf (1992)
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Natural Language Processing Systems Evaluation Workshop Held in Berkely, California on 18 June 1991
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In: DTIC AND NTIS (1991)
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Metrics for MT evaluation: Evaluating reordering
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In: http://homepages.inf.ed.ac.uk/miles/papers/mt09.pdf
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Abstract:
Abstract. Translating between dissimilar languages requires an account of the use of divergent word orders when expressing the same semantic content. Reordering poses a serious problem for statistical machine translation systems and has generated a considerable body of research aimed at meeting its challenges. Direct evaluation of reordering requires automatic metrics that explicitly measure the quality of word order choices in translations. Current metrics, such as BLEU, only evaluate re-ordering indirectly. We analyse the ability of current metrics to capture reordering performance. We then introduce permutation distance metrics as a direct method for measuring word order similarity between translations and reference sentences. By correlating all metrics with a novel method for eliciting human judgements of reordering quality, we show that current metrics are largely influenced by lexical choice, and that they are not able to distinguish between different reordering sce-narios. Also, we show that permutation distance metrics correlate very well with human judgements, and are impervious to lexical differences.
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Keyword:
BLEU; Human Evaluation; Machine Translation; METEOR; Metrics; Permutation Distances; Reordering; TER
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.650.9610 http://homepages.inf.ed.ac.uk/miles/papers/mt09.pdf
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