Download or read book The Fundamentals of Human and Machine Translations written by Isaak Iosifovich Revzin and published by . This book was released on 1966 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neural Machine Translation written by Philipp Koehn and published by Cambridge University Press. This book was released on 2020-06-18 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
Download or read book Deep Learning Fundamentals Theory and Applications written by Kaizhu Huang and published by Springer. This book was released on 2019-02-15 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures and algorithms, present its latest theoretical progress, discuss the most popular deep learning platforms and data sets, and describe how many deep learning methodologies have brought great breakthroughs in various applications of text, image, video, speech and audio processing. Deep learning (DL) has been widely considered as the next generation of machine learning methodology. DL attracts much attention and also achieves great success in pattern recognition, computer vision, data mining, and knowledge discovery due to its great capability in learning high-level abstract features from vast amount of data. This new book will not only attempt to provide a general roadmap or guidance to the current deep learning methodologies, but also present the challenges and envision new perspectives which may lead to further breakthroughs in this field. This book will serve as a useful reference for senior (undergraduate or graduate) students in computer science, statistics, electrical engineering, as well as others interested in studying or exploring the potential of exploiting deep learning algorithms. It will also be of special interest to researchers in the area of AI, pattern recognition, machine learning and related areas, alongside engineers interested in applying deep learning models in existing or new practical applications.
Download or read book Fundamentals of Translation written by Sonia Colina and published by Cambridge University Press. This book was released on 2015-04-02 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clear and concise, this textbook provides a non-technical introduction to the basic and central concepts of translation theory and practice, including translation briefs, parallel texts and textual functions, cohesion and coherence, and old and new information. Colina focuses on the key concepts that beginning students of translation, practising translators, language students and language professionals need to understand. Numerous exercises (discussion, group and individual) at the end of each chapter and 'Practice' activities throughout each chapter allow students to self-assess their practical understanding of chapter topics. In addition, examples, figures and text extracts from a wide variety of world languages contextualise chapter material and produce a lively and accessible narrative. Suitable for non-specialists with no prior experience of translation, it will also be of interest to practising translators, language students and language industry professionals who wish to gain a wider and up-to-date understanding of translation.
Download or read book Government wide Index to Federal Research Development Reports written by and published by . This book was released on 1966-10-10 with total page 1016 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Technical Translations written by and published by . This book was released on 1966 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Translation written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-05 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Machine Translation The subfield of computational linguistics known as machine translation, which is often referred to by the abbreviation MT at times, explores the use of software to translate text or speech from one language to another. Machine translation can also be referred to as automatic translation. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Machine Translation Chapter 2: Computational Linguistics Chapter 3: Natural Language Processing Chapter 4: Statistical Machine Translation Chapter 5: Neural Machine Translation Chapter 6: Google Neural Machine Translation Chapter 7: Hybrid Machine Translation Chapter 8: Rule-based Machine Translation Chapter 9: Evaluation of Machine Translation Chapter 10: History of Machine Translation (II) Answering the public top questions about machine translation. (III) Real world examples for the usage of machine translation in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of machine translation' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of machine translation.
Download or read book Fundamentals of Translation written by Sonia Colina and published by Cambridge University Press. This book was released on 2015-04-02 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clear and concise, this textbook provides a non-technical introduction to the basic theory of translation, with numerous examples and exercises.
Download or read book Machine Learning in Translation written by Peng Wang and published by Taylor & Francis. This book was released on 2023-04-12 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation that leverages this new dimension, this book helps linguists, translators, and localizers better find their added value in a ML-driven translation environment. Part One explores how humans and machines approach the problem of translation in their own particular ways, in terms of word embeddings, chunking of larger meaning units, and prediction in translation based upon the broader context. Part Two introduces key tasks, including machine translation, translation quality assessment and quality estimation, and other Natural Language Processing (NLP) tasks in translation. Part Three focuses on the role of data in both human and machine learning processes. It proposes that a translator’s unique value lies in the capability to create, manage, and leverage language data in different ML tasks in the translation process. It outlines new knowledge and skills that need to be incorporated into traditional translation education in the machine learning era. The book concludes with a discussion of human-centered machine learning in translation, stressing the need to empower translators with ML knowledge, through communication with ML users, developers, and programmers, and with opportunities for continuous learning. This accessible guide is designed for current and future users of ML technologies in localization workflows, including students on courses in translation and localization, language technology, and related areas. It supports the professional development of translation practitioners, so that they can fully utilize ML technologies and design their own human-centered ML-driven translation workflows and NLP tasks.
Download or read book Technical Abstract Bulletin written by and published by . This book was released on 1967 with total page 866 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Translation News written by and published by . This book was released on 1971 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Translation and Information Technology written by Sin-wai Chan and published by Chinese University Press. This book was released on 2002 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information technology has created new challenges for translation. In this text contributors in computational linguistics, machine translation and translation studies discuss the effect of electronic tools on translation, and the conceptual gaps raised by the interface of human and machine.
Download or read book Deep Learning Essentials written by Anurag Bhardwaj and published by Packt Publishing Ltd. This book was released on 2018-01-30 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and more Covers popular Python libraries such as Tensorflow, Keras, and more, along with tips on training, deploying and optimizing your deep learning models in the best possible manner Book Description Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while training models, such as noisy datasets, small datasets, and more. This book does not assume any prior knowledge of deep learning. By the end of this book, you will have a firm understanding of the basics of deep learning and neural network modeling, along with their practical applications. What you will learn Get to grips with the core concepts of deep learning and neural networks Set up deep learning library such as TensorFlow Fine-tune your deep learning models for NLP and Computer Vision applications Unify different information sources, such as images, text, and speech through deep learning Optimize and fine-tune your deep learning models for better performance Train a deep reinforcement learning model that plays a game better than humans Learn how to make your models get the best out of your GPU or CPU Who this book is for Aspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python.
Download or read book Human Computer Interaction Handbook written by Julie A. Jacko and published by CRC Press. This book was released on 2012-05-04 with total page 1469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of a 2013 CHOICE Outstanding Academic Title Award The third edition of a groundbreaking reference, The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications raises the bar for handbooks in this field. It is the largest, most complete compilation of HCI theories, principles, advances, case st
Download or read book Overview on Machine Translation Services written by Virtapuro, Miko and published by Nordic Council of Ministers. This book was released on 2023-10-06 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Available online: https://pub.norden.org/nord2023-032/ Overview on Machine Translation Services is part of the project ‘World’s smoothest cross-border mobility and daily life through digitalisation’, with a broader objective of streamlining the daily life and mobility of citizens and companies across borders by facilitating the exchange of data between authorities in the Nordic and Baltic countries. The machine translation engines are viewed through cases of studying abroad, transferring health data and understanding legislation texts smoothly over the borders of Nordic and Baltic countries. The Overview on Machine Translation Services helps in the consideration of potential for machine translation and in assessing machine translation services based on the intended purpose. Machine translation can enable the translation of information into several languages in a cost-effective manner.
Download or read book Translation Competence written by Carla Quinci and published by Taylor & Francis. This book was released on 2023-02-23 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a systematic and comprehensive account of translation competence (TC), reflecting on its different models and conceptualisations throughout its development and outlining future directions for both theory and practice. The volume charts the evolution of TC in line with related findings in empirical product- and process-oriented research. In critically examining the different models of translation competence, Quinci explores a wide range of connected issues of ongoing debate within Translation Studies, including translation quality, the revision process, and translator self-assessment. The second section of the book investigates these themes at work in the design, conduct, and results of an award-winning longitudinal research project which analysed the acquisition and development of TC in a sample group of translation trainees and professional translators. The volume builds on the outcomes of this project to offer practical activities for translator education, informed by theory and empirical research, toward encouraging continued reflection and new directions for translation competence research and practice. This book will be of interest to scholars in Translation Studies, as well as translation trainees and active translation professionals.
Download or read book Scientific Information Notes written by and published by . This book was released on 1966 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt:
