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Book Joint 5th Joint Workshop on Statistical Machine Translation and MetricsMATR 2010   WMT10

Download or read book Joint 5th Joint Workshop on Statistical Machine Translation and MetricsMATR 2010 WMT10 written by Association for Computational Linguistics and published by . This book was released on 2010 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Machine Translation

    Book Details:
  • Author : Derek F. Wong
  • Publisher : Springer
  • Release : 2017-11-13
  • ISBN : 9811071349
  • Pages : 135 pages

Download or read book Machine Translation written by Derek F. Wong and published by Springer. This book was released on 2017-11-13 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th China Workshop on Machine Translation, CWMT 2017, held in Dalian, China, in September 2017. The 10 papers presented in this volume were carefully reviewed and selected from 26 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.

Book International Conference on Innovative Computing and Communications

Download or read book International Conference on Innovative Computing and Communications written by Ashish Khanna and published by Springer Nature. This book was released on 2021-08-28 with total page 893 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Book Translation in Transition

Download or read book Translation in Transition written by Isabel Lacruz and published by John Benjamins Publishing Company. This book was released on 2023-07-26 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extraordinary advances in machine translation over the last three quarters of a century have profoundly affected many aspects of the translation profession. The widespread integration of adaptive “artificially intelligent” technologies has radically changed the way many translators think and work. In turn, groundbreaking empirical research has yielded new perspectives on the cognitive basis of the human translation process. Translation is in the throes of radical transition on both professional and academic levels. The game-changing introduction of neural machine translation engines almost a decade ago accelerated these transitions. This volume takes stock of the depth and breadth of resulting developments, highlighting the emerging rivalry of human and machine intelligence. The gathering and analysis of big data is a common thread that has given access to new insights in widely divergent areas, from literary translation to movie subtitling to consecutive interpreting to development of flexible and powerful new cognitive models of translation.

Book Statistical Machine Translation

Download or read book Statistical Machine Translation written by Philipp Koehn and published by Cambridge University Press. This book was released on 2010 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.

Book Human Machine Interaction in Translation

Download or read book Human Machine Interaction in Translation written by Bernadette Sharp and published by Samfundslitteratur. This book was released on 2011 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes 19 papers which were selected for presentation at the workshop and the text of invite keynote lectures. The workshop provided an attractive interdisciplinary forum for fostering interactions among researchers and practitioners in Natural Language Processing (NLP) working within the paradigm of Cognitive Science (CS)

Book The Oxford Handbook of Computational Linguistics

Download or read book The Oxford Handbook of Computational Linguistics written by Ruslan Mitkov and published by Oxford University Press. This book was released on 2022-03-09 with total page 1377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.

Book Textual Information Access

Download or read book Textual Information Access written by Eric Gaussier and published by John Wiley & Sons. This book was released on 2013-02-04 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents statistical models that have recently been developed within several research communities to access information contained in text collections. The problems considered are linked to applications aiming at facilitating information access: - information extraction and retrieval; - text classification and clustering; - opinion mining; - comprehension aids (automatic summarization, machine translation, visualization). In order to give the reader as complete a description as possible, the focus is placed on the probability models used in the applications concerned, by highlighting the relationship between models and applications and by illustrating the behavior of each model on real collections. Textual Information Access is organized around four themes: informational retrieval and ranking models, classification and clustering (regression logistics, kernel methods, Markov fields, etc.), multilingualism and machine translation, and emerging applications such as information exploration. Contents Part 1: Information Retrieval 1. Probabilistic Models for Information Retrieval, Stéphane Clinchant and Eric Gaussier. 2. Learnable Ranking Models for Automatic Text Summarization and Information Retrieval, Massih-Réza Amini, David Buffoni, Patrick Gallinari, Tuong Vinh Truong and Nicolas Usunier. Part 2: Classification and Clustering 3. Logistic Regression and Text Classification, Sujeevan Aseervatham, Eric Gaussier, Anestis Antoniadis, Michel Burlet and Yves Denneulin. 4. Kernel Methods for Textual Information Access, Jean-Michel Renders. 5. Topic-Based Generative Models for Text Information Access, Jean-Cédric Chappelier. 6. Conditional Random Fields for Information Extraction, Isabelle Tellier and Marc Tommasi. Part 3: Multilingualism 7. Statistical Methods for Machine Translation, Alexandre Allauzen and François Yvon. Part 4: Emerging Applications 8. Information Mining: Methods and Interfaces for Accessing Complex Information, Josiane Mothe, Kurt Englmeier and Fionn Murtagh. 9. Opinion Detection as a Topic Classification Problem, Juan-Manuel Torres-Moreno, Marc El-Bèze, Patrice Bellot and Fréderic Béchet.

Book Text  Speech and Dialogue

    Book Details:
  • Author : Ivan Habernal
  • Publisher : Springer Science & Business Media
  • Release : 2011-08-19
  • ISBN : 3642235379
  • Pages : 457 pages

Download or read book Text Speech and Dialogue written by Ivan Habernal and published by Springer Science & Business Media. This book was released on 2011-08-19 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Text, Speech and Dialogue, TSD 2011, held in Pilsen, Czech Republic, in September 2011. The 53 papers presented together with 2 invited talks were carefully reviewed and selected from 110 submissions. The main topic of this year's conference was "integrating modern Web with speech and language technologies". This year the Third International Workshop on Balto-Slavonic Natural Language was affiliated to TSD. The present book contains 8 contributions from this workshop.

Book Hybrid Approaches to Machine Translation

Download or read book Hybrid Approaches to Machine Translation written by Marta R. Costa-jussà and published by Springer. This book was released on 2016-07-12 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas. Nowadays, most important developments in MT are achieved by combining data-driven and rule-based techniques. These combinations typically involve hybridization of different traditional paradigms, such as the introduction of linguistic knowledge into statistical approaches to MT, the incorporation of data-driven components into rule-based approaches, or statistical and rule-based pre- and post-processing for both types of MT architectures. The book is of interest primarily to MT specialists, but also – in the wider fields of Computational Linguistics, Machine Learning and Data Mining – to translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.

Book Proceedings

    Book Details:
  • Author : John von Neumann-Institut für Computing
  • Publisher : Forschungszentrum Jülich
  • Release : 2012
  • ISBN : 3893367586
  • Pages : 421 pages

Download or read book Proceedings written by John von Neumann-Institut für Computing and published by Forschungszentrum Jülich. This book was released on 2012 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Neural Machine Translation

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 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.

Book Emerging Applications of Natural Language Processing  Concepts and New Research

Download or read book Emerging Applications of Natural Language Processing Concepts and New Research written by Bandyopadhyay, Sivaji and published by IGI Global. This book was released on 2012-10-31 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides pertinent and vital information that researchers, postgraduate, doctoral students, and practitioners are seeking for learning about the latest discoveries and advances in NLP methodologies and applications of NLP"--Provided by publisher.

Book The Future of Translation Technology

Download or read book The Future of Translation Technology written by Chan Sin-wai and published by Taylor & Francis. This book was released on 2016-10-26 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology has revolutionized the field of translation, bringing drastic changes to the way translation is studied and done. To an average user, technology is simply about clicking buttons and storing data. What we need to do is to look beyond a system’s interface to see what is at work and what should be done to make it work more efficiently. This book is both macroscopic and microscopic in approach: macroscopic as it adopts a holistic orientation when outlining the development of translation technology in the last forty years, organizing concepts in a coherent and logical way with a theoretical framework, and predicting what is to come in the years ahead; microscopic as it examines in detail the five stages of technology-oriented translation procedure and the strengths and weaknesses of the free and paid systems available to users. The Future of Translation Technology studies, among other issues: The Development of Translation Technology Major Concepts in Computer-aided Translation Functions in Computer-aided Translation Systems A Theoretical Framework for Computer-Aided Translation Studies The Future of Translation Technology This book is an essential read for scholars and researchers of translational studies and computational linguistics, and a guide to system users and professionals.

Book The Oxford Handbook of Inflection

Download or read book The Oxford Handbook of Inflection written by Matthew Baerman and published by Oxford University Press, USA. This book was released on 2015 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides a comprehensive state-of-the-art overview of work on inflection - the expression of grammatical information through changes in word forms. The volume's 24 chapters are written by experts in the field from a variety of theoretical backgrounds, with examples drawn from a wide range of languages.

Book Advanced Intelligent Computing Technology and Applications

Download or read book Advanced Intelligent Computing Technology and Applications written by De-Shuang Huang and published by Springer Nature. This book was released on 2023-07-30 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set of LNCS 14086, LNCS 14087 and LNCS 14088 constitutes - in conjunction with the double-volume set LNAI 14089-14090- the refereed proceedings of the 19th International Conference on Intelligent Computing, ICIC 2023, held in Zhengzhou, China, in August 2023. The 337 full papers of the three proceedings volumes were carefully reviewed and selected from 828 submissions. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.