Titlebook: Quality Estimation for Machine Translation; Lucia Specia,Carolina Scarton,Gustavo Henrique Pae Book 2018 Springer Nature Switzerland AG 20

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Lucia Specia,Carolina Scarton,Gustavo Henrique Paetzoldion systems, robots, magnetic bearings, automatic machine tools. Problems that are typical for mechanical systems arise in the following areas: - Modeling the mechanical system in such a way that the model is suitable for control design - Designing multivariable controls to be robust with respect to

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ion systems, robots, magnetic bearings, automatic machine tools. Problems that are typical for mechanical systems arise in the following areas: - Modeling the mechanical system in such a way that the model is suitable for control design - Designing multivariable controls to be robust with respect to

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Introduction,good or reliable the results returned by an application are without access to gold-standard outputs. This is therefore different from standard evaluation methods where the task is to compare system outputs with their gold-standard counterparts which are generally created by experts with knowledge of

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Quality Estimation for other Applications,), Grammatical Error Correction (GEC), Natural Language Generation (NLG), and Automatic Speech Recognition (ASR). Most of this work is very recent, with many opportunities for further development. Various approaches have been proposed for TS in the context of a shared task in 2016, while very little

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Final Remarks,able. QE models are learned from data using machine learning techniques, which facilitates more flexible modeling of particular relevant quality dimensions according to the respective application scenario.

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1947-4040 as input, systems are required to produce a version of this text (e.g., a translation), also in natural language, as output. Automatically evaluating the output of such systems is an important component in developing text-to-text applications. Two approaches have been proposed for this problem: (i)

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