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This book presents a collection of state-of-the-art work in corpus-based interpreting studies, highlighting international research on the properties of interpreted speech, based on naturalistic interpreting data. Interpreting research has long been hampered by the lack of naturalistic data that would allow researchers to make empirically valid generalizations about interpreting. The researchers who present their work here have played a pioneering role in the compilation of interpreting data and in the exploitation of that data. The collection focuses on both of these aspects, including a detailed  overview of interpreting corpora, a collective paper on the way forward in corpus compilation and several studies on interpreted  speech in diverse language pairs and interpreter-mediated settings, based on existing corpora.

Translation science --- Mathematical linguistics

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Psycholinguistics --- Mathematical linguistics

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Psycholinguistics --- Mathematical linguistics --- Poetry

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Translation science --- Mathematical linguistics

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Many applications within natural language processing involve performing text-to-text transformations, i.e., given a text in natural language 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) to compare the system outputs against one or more reference outputs using string matching-based evaluation metrics and (ii) to build models based on human feedback to predict the quality of system outputs without reference texts. Despite their popularity, reference-based evaluation metrics are faced with the challenge that multiple good (and bad) quality outputs can be produced by text-to-text approaches for the same input. This variation is very hard to capture, even with multiple reference texts.

Translation science --- Mathematical linguistics --- Machine translating --- Evaluation.