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The Human Factor in Machine Translation

translation systems. However, despite the rapid advances in machine translation, the role of a human translator remains crucial. As illustrated by the;

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The Human Factor in Machine Translation

translation systems. However, despite the rapid advances in machine translation, the role of a human translator remains crucial. As illustrated by the;

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Translation Quality Assessment

of translation technologies in the industry today, where the lines between human and machine are becoming increasingly blurred by technology: this;

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Human-Machine Interaction in Translation

research workshop series is on the contribution of cognitive science to language processing, including human and machine translation, human-machine;

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Example-Based Machine Translation

This book is for the geeks who want to develop computers systems to translate human language. As the title suggests, in this book we;

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Neural Machine Translation

Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation;

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The Loving

A machine takes over the human reality and removes love. LOVE and believing in God will be the deciding factor. A story of Biblical;

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Translation Studies and Translation Practice: Proceedings of the 2nd International TRANSLATA Conference, 2014

, legal translation, and human-machine interaction in translation. The contributors also regard computer-aided translation, specialised;

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Machine Translation

This book constitutes the refereed proceedings of the 15th China Conference on Machine Translation, CCMT 2019, held in Nanchang, China;

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Machine Translation

This book constitutes the refereed proceedings of the 16th China Conference on Machine Translation, CCMT 2020, held in Hohhot, China;

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Statistical Machine Translation

The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine;

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Using Comparable Corpora for Under Resourced Areas of Machine Translation

translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for building comparable corpora from the;

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Quality Assurance and Assessment Practices in Translation and Interpreting

themselves checking not only human translation but also machine translation outputs. As a result, the notions of revision and interpersonal;

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Advantages of System Combination for Spoken Language Translation

were proven to be effective on a large number of translation tasks. Yet the systems involved in speech translation are often developed;

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Human Issues in Translation Technology

Translation technologies are moulded by and impact upon humans in all sorts of ways. This state-of-the-art volume looks at translation;

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New Directions In Empirical Translation

support, including the computational, statistical and psycholinguistic modeling of human translation processes.In the first chapters of this book;

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Learning Machine Translation

techniques can improve Statistical Machine Translation, currently at the forefront of research in the field. The book looks first at enabling;

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Translation versus Machine Translation Post-editing

foreign language, but to complement written production practice and to introduce the students to machine translation post-editing, an activity;

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Machine Translation and Global Research

, online machine translation systems have become increasingly easy to access and use. Is this a researcher's match made in heaven, or the road to;

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Machine Translation and Global Research

, online machine translation systems have become increasingly easy to access and use. Is this a researcher's match made in heaven, or the road to;

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Machine Learning in Translation Corpora Processing

dictionary-based, rule-based, and syntax-based, machine translation techniques. Most popular methodologies and tools are not well-suited for the;

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Machine Learning in Translation Corpora Processing

dictionary-based, rule-based, and syntax-based, machine translation techniques. Most popular methodologies and tools are not well-suited for the;

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Translation Engines

Machine translation (MT) is the area of computer science and applied linguistics dealing with the translation of human languages such as;

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Repairing Texts

This study challenges the idea that, given the effectiveness of machine translation, major costs could be reduced by using monolingual;

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Joint Training for Neural Machine Translation

neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to;

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Distortion Constraints in Statistical Machine Translation

and robustness. It represents state-of-the-art in machine translation (MT) but it has to deal with certain issues that are not trivial to;

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