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Titlebook: Making Way in Corpus-based Interpreting Studies; Mariachiara Russo,Claudio Bendazzoli,Bart Defrancq Book 2018 Springer Nature Singapore Pt

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发表于 2025-3-21 19:57:35 | 显示全部楼层 |阅读模式
书目名称Making Way in Corpus-based Interpreting Studies
编辑Mariachiara Russo,Claudio Bendazzoli,Bart Defrancq
视频video
概述Includes insightful guidelines for corpus design and exploitation.Presents international research on the properties of interpreted speech, based on naturalistic interpreting data.Suggests a methodolog
丛书名称New Frontiers in Translation Studies
图书封面Titlebook: Making Way in Corpus-based Interpreting Studies;  Mariachiara Russo,Claudio Bendazzoli,Bart Defrancq Book 2018 Springer Nature Singapore Pt
描述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.
出版日期Book 2018
关键词Interpreting Studies; Corpus; Simultaneous Interpreting; Statistical Methods; Cognitive Processing; Compa
版次1
doihttps://doi.org/10.1007/978-981-10-6199-8
isbn_softcover978-981-13-4823-5
isbn_ebook978-981-10-6199-8Series ISSN 2197-8689 Series E-ISSN 2197-8697
issn_series 2197-8689
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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Claudio Bendazzolitestants can get a good ranking—feature engineering. Andrew Ng once mentioned in his CS229 machine learning course at Stanford University that machine learning was mostly feature engineering; features determined the upper limit of the prediction effect of machine learning, and the algorithm just kep
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Binhua Wang,Bing Zout as no two leaves of any plants are identical in the world, there are no identical people in the world either. After the birth, people begin to have their own unique labels, such as their last name, who their parents are, where their home is, when they come to the world, and what kind of life journ
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Marta Kajzer-WietrznyTencent (T), which occupied the top of search engines, e-commerce, and social software. Recently, TDJ (TikTok, DiDi, .) appeared. In the 1980s and 1990s, what was happening in the entertainment circle of Hong Kong (China) dominated the entertainment industry in mainland China, and all kinds of kings
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Mariachiara Russo book. First, the tasks of unsupervised learning are considered based on the value of the target functional. The classical Pontryagin problem is considered and a comparison of the solution obtained by machine learning with the classical result is given. The problem of stabilization system synthesis
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Nicoletta Spinoloploys powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal control laws for linear
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