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3 books on Machine Translation [PDF]
Updated: May 10, 2024 | 18 |
Books on Machine Translation serve as invaluable resources for startups specializing in the development of machine translation solutions. These resources offer a comprehensive foundation, covering various aspects of machine translation, from rule-based and statistical methods to neural machine translation and multilingual models. They delve into the intricacies of language pairs, translation quality, and post-editing considerations, emphasizing the importance of translation accuracy and fluency. Moreover, these books often include practical examples, datasets, and best practices, enabling startups to fine-tune their machine translation systems for optimal performance and real-world applications.
1. Neural Machine Translation
2020 by Philipp Koehn
Deep learning is ushering in a transformative era in the construction of machine translation systems, and this book presents a comprehensive exploration of the subject. It initiates by introducing the complexities of machine translation and the intricacies of evaluation, offering insights into the historical, linguistic, and practical context surrounding the field. Subsequently, it delves into the fundamental deep learning techniques used in natural language applications, accompanied by practical Python code examples that empower readers to build their own machine translation systems. The book also encompasses a broad spectrum of machine learning strategies, addresses challenges in handling diverse data forms, explores model enhancements, and discusses ongoing research, challenges, and methodologies for analysis and visualization. With summaries of the latest research, this book serves as a cutting-edge textbook suitable for undergraduate and graduate courses while also serving as an indispensable reference for researchers and developers venturing into the broader realm of neural methods in the domain of human language processing.
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2. Machine Translation
2017 by Thierry Poibeau
This book provides a concise and accessible overview of the evolution of machine translation, encompassing various approaches, evaluation considerations, and market prospects. The primary methods are introduced from a historical standpoint, and the concepts are presented intuitively, eliminating the need for intricate mathematical details. The book initiates discussions by addressing the challenges inherent in the development of machine translation systems and offers a brief overview of the field's evolutionary trajectory. Subsequently, it delves deeper into the historical aspects of machine translation, tracing its origins before the digital era, exploring rule-based approaches, examining the influential 1966 ALPAC (Automatic Language Processing Advisory Committee) report and its repercussions, exploring parallel corpora, embracing example-based and statistical paradigms, transitioning to segment-based strategies, infusing linguistic knowledge into the systems, and embracing contemporary deep learning-based approaches. Lastly, it delves into the complexities of evaluation and the current commercial landscape, spotlighting major industry players like Google and Systran.
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3. Translation Engines: Techniques for Machine Translation
2012 by Arturo Trujillo
Machine translation (MT) constitutes a pivotal domain at the intersection of computer science and applied linguistics, dedicated to the intricate task of translating human languages, such as English and German, through computational means. The advent of MT on the Internet has bestowed it with newfound significance, offering swift, cost-effective, and valuable translations. In a world marked by globalization and burgeoning trade, the demand for translation services is poised for substantial expansion. "Translation Engines" delves into the theoretical and pragmatic facets of MT, spanning both traditional and contemporary approaches. Topics covered encompass character sets and formatting languages, translation memory, the foundational principles in linguistics and computation, fundamental computational linguistic methodologies, as well as transfer and interlingua MT. The book also delves into evaluation techniques. In addition, accompanying software empowers readers with hands-on exposure to key algorithms.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Neural Machine Translation
2020 by Philipp Koehn
Deep learning is ushering in a transformative era in the construction of machine translation systems, and this book presents a comprehensive exploration of the subject. It initiates by introducing the complexities of machine translation and the intricacies of evaluation, offering insights into the historical, linguistic, and practical context surrounding the field. Subsequently, it delves into the fundamental deep learning techniques used in natural language applications, accompanied by practical Python code examples that empower readers to build their own machine translation systems. The book also encompasses a broad spectrum of machine learning strategies, addresses challenges in handling diverse data forms, explores model enhancements, and discusses ongoing research, challenges, and methodologies for analysis and visualization. With summaries of the latest research, this book serves as a cutting-edge textbook suitable for undergraduate and graduate courses while also serving as an indispensable reference for researchers and developers venturing into the broader realm of neural methods in the domain of human language processing.
Download PDF
2. Machine Translation
2017 by Thierry Poibeau
This book provides a concise and accessible overview of the evolution of machine translation, encompassing various approaches, evaluation considerations, and market prospects. The primary methods are introduced from a historical standpoint, and the concepts are presented intuitively, eliminating the need for intricate mathematical details. The book initiates discussions by addressing the challenges inherent in the development of machine translation systems and offers a brief overview of the field's evolutionary trajectory. Subsequently, it delves deeper into the historical aspects of machine translation, tracing its origins before the digital era, exploring rule-based approaches, examining the influential 1966 ALPAC (Automatic Language Processing Advisory Committee) report and its repercussions, exploring parallel corpora, embracing example-based and statistical paradigms, transitioning to segment-based strategies, infusing linguistic knowledge into the systems, and embracing contemporary deep learning-based approaches. Lastly, it delves into the complexities of evaluation and the current commercial landscape, spotlighting major industry players like Google and Systran.
Download PDF
3. Translation Engines: Techniques for Machine Translation
2012 by Arturo Trujillo
Machine translation (MT) constitutes a pivotal domain at the intersection of computer science and applied linguistics, dedicated to the intricate task of translating human languages, such as English and German, through computational means. The advent of MT on the Internet has bestowed it with newfound significance, offering swift, cost-effective, and valuable translations. In a world marked by globalization and burgeoning trade, the demand for translation services is poised for substantial expansion. "Translation Engines" delves into the theoretical and pragmatic facets of MT, spanning both traditional and contemporary approaches. Topics covered encompass character sets and formatting languages, translation memory, the foundational principles in linguistics and computation, fundamental computational linguistic methodologies, as well as transfer and interlingua MT. The book also delves into evaluation techniques. In addition, accompanying software empowers readers with hands-on exposure to key algorithms.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
