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Croatian Twitter training corpus ReLDI-NormTag-hr 1.1
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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Serbian Twitter training corpus ReLDI-NormTag-sr 1.0
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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Croatian Twitter training corpus ReLDI-NormTag-hr 1.0
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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4
Serbian Twitter training corpus ReLDI-NormTag-sr 1.1
Ljubešić, Nikola; Farkaš, Daša; Klubička, Filip. - : Jožef Stefan Institute, 2017
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5
Fine-grained human evaluation of neural versus phrase-based machine translation ...
Abstract: We compare three approaches to statistical machine translation (pure phrase-based, factored phrase-based and neural) by performing a fine-grained manual evaluation via error annotation of the systems' outputs. The error types in our annotation are compliant with the multidimensional quality metrics (MQM), and the annotation is performed by two annotators. Inter-annotator agreement is high for such a task, and results show that the best performing system (neural) reduces the errors produced by the worst system (phrase-based) by 54%. ... : 12 pages, 2 figures, The Prague Bulletin of Mathematical Linguistics ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; I.2.7
URL: https://arxiv.org/abs/1706.04389
https://dx.doi.org/10.48550/arxiv.1706.04389
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Fine-Grained Human Evaluation of Neural Versus Phrase-Based Machine Translation
In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 121-132 (2017) (2017)
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