Statistical Machine Translation

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Statistical Machine Translation

Author : Philipp Koehn
Publisher : Cambridge University Press
ISBN 13 : 0521874157
Total Pages : 447 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Statistical Machine Translation by : Philipp Koehn

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.

Syntax-based Statistical Machine Translation

Author : Philip Williams
Publisher : Springer Nature
ISBN 13 : 3031021649
Total Pages : 190 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Syntax-based Statistical Machine Translation by : Philip Williams

Download or read book Syntax-based Statistical Machine Translation written by Philip Williams and published by Springer Nature. This book was released on 2022-05-31 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies. While phrase-based models have previously dominated the field, syntax-based approaches have proved a popular alternative, as they elegantly solve many of the shortcomings of phrase-based models. The heart of this book is a detailed introduction to decoding for syntax-based models. The book begins with an overview of synchronous-context free grammar (SCFG) and synchronous tree-substitution grammar (STSG) along with their associated statistical models. It also describes how three popular instantiations (Hiero, SAMT, and GHKM) are learned from parallel corpora. It introduces and details hypergraphs and associated general algorithms, as well as algorithms for decoding with both tree and string input. Special attention is given to efficiency, including search approximations such as beam search and cube pruning, data structures, and parsing algorithms. The book consistently highlights the strengths (and limitations) of syntax-based approaches, including their ability to generalize phrase-based translation units, their modeling of specific linguistic phenomena, and their function of structuring the search space.

Linguistically Motivated Statistical Machine Translation

Author : Deyi Xiong
Publisher : Springer
ISBN 13 : 9812873562
Total Pages : 152 pages
Book Rating : 4.8/5 (128 download)

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Book Synopsis Linguistically Motivated Statistical Machine Translation by : Deyi Xiong

Download or read book Linguistically Motivated Statistical Machine Translation written by Deyi Xiong and published by Springer. This book was released on 2015-02-11 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT). It helps advance conventional SMT to linguistically motivated SMT by enhancing the following three essential components: translation, reordering and bracketing models. It also serves the purpose of promoting the in-depth study of the impacts of linguistic knowledge on machine translation. Finally it provides a systematic introduction of Bracketing Transduction Grammar (BTG) based SMT, one of the state-of-the-art SMT formalisms, as well as a case study of linguistically motivated SMT on a BTG-based platform.

Neural Machine Translation

Author : Philipp Koehn
Publisher : Cambridge University Press
ISBN 13 : 1108497322
Total Pages : 409 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Neural Machine Translation by : Philipp Koehn

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.

Verbmobil: Foundations of Speech-to-Speech Translation

Author : Wolfgang Wahlster
Publisher : Springer Science & Business Media
ISBN 13 : 3662042304
Total Pages : 676 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Verbmobil: Foundations of Speech-to-Speech Translation by : Wolfgang Wahlster

Download or read book Verbmobil: Foundations of Speech-to-Speech Translation written by Wolfgang Wahlster and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1992 it seemed very difficult to answer the question whether it would be possible to develop a portable system for the automatic recognition and translation of spon taneous speech. Previous research work on speech processing had focused on read speech only and international projects aimed at automated text translation had just been terminated without achieving their objectives. Within this context, the German Federal Ministry of Education and Research (BMBF) made a careful analysis of all national and international research projects conducted in the field of speech and language technology before deciding to launch an eight-year basic-research lead project in which research groups were to cooperate in an interdisciplinary and international effort covering the disciplines of computer science, computational linguistics, translation science, signal processing, communi cation science and artificial intelligence. At some point, the project comprised up to 135 work packages with up to 33 research groups working on these packages. The project was controlled by means of a network plan. Every two years the project sit uation was assessed and the project goals were updated. An international scientific advisory board provided advice for BMBF. A new scientific approach was chosen for this project: coping with the com plexity of spontaneous speech with all its pertinent phenomena such as ambiguities, self-corrections, hesitations and disfluencies took precedence over the intended lex icon size. Another important aspect was that prosodic information was exploited at all processing stages.

Statistical Machine Translation

Author :
Publisher :
ISBN 13 :
Total Pages : 171 pages
Book Rating : 4.:/5 (799 download)

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Book Synopsis Statistical Machine Translation by :

Download or read book Statistical Machine Translation written by and published by . This book was released on 2006 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Learning Machine Translation

Author : Cyril Goutte
Publisher : MIT Press
ISBN 13 : 0262072971
Total Pages : 329 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Learning Machine Translation by : Cyril Goutte

Download or read book Learning Machine Translation written by Cyril Goutte and published by MIT Press. This book was released on 2009 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: How Machine Learning can improve machine translation: enabling technologies and new statistical techniques.

Human Language Technology. Challenges of the Information Society

Author : Zygmunt Vetulani
Publisher : Springer Science & Business Media
ISBN 13 : 3642042341
Total Pages : 486 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Human Language Technology. Challenges of the Information Society by : Zygmunt Vetulani

Download or read book Human Language Technology. Challenges of the Information Society written by Zygmunt Vetulani and published by Springer Science & Business Media. This book was released on 2009-09-07 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Half a centuryago not manypeople had realizedthat a new epoch in the history of homo sapiens had just started. The term “Information Society Age” seems an appropriate name for this epoch. Communication was without a doubt a lever of the conquest of the human race over the rest of the animate world. There is little doubt that the human racebegan when our predecessorsstarted to communicate with each other using language.This highly abstractmeans of communicationwas probably one of the major factors contributing to the evolutionary success of the human race within the animal world. Physically weak and imperfect, humans started to dominate the rest of the world through the creation of communication-based societies where individuals communicated initially to satisfy immediate needs, and then to create, accumulate and process knowledge for future use. The crucial step in the history of humanity was the invention of writing. It is worth noting that writing is a human invention, not a phenomenon resulting from natural evolution. Humans invented writing as a technique for recording speech as well as for storing and facilitating the dissemination of knowledge across the world. Humans continue to be born illiterate, and therefore teaching and conscious supervised learning is necessary to maintain this basic social skill.

Discourse in Statistical Machine Translation

Author : Christian Hardmeier
Publisher :
ISBN 13 : 9789155489632
Total Pages : 0 pages
Book Rating : 4.4/5 (896 download)

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Book Synopsis Discourse in Statistical Machine Translation by : Christian Hardmeier

Download or read book Discourse in Statistical Machine Translation written by Christian Hardmeier and published by . This book was released on 2014-09-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Translation

Author : Pushpak Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1439897190
Total Pages : 261 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Machine Translation by : Pushpak Bhattacharyya

Download or read book Machine Translation written by Pushpak Bhattacharyya and published by CRC Press. This book was released on 2015-02-04 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compares and contrasts the principles and practices of rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). Presenting numerous examples, the text introduces language divergence as the fundamental challenge to machine translation, emphasizes and works out word alignment, explores IBM models of machine translation, covers the mathematics of phrase-based SMT, provides complete walk-throughs of the working of interlingua-based and transfer-based RBMT, and analyzes EBMT, showing how translation parts can be extracted and recombined to automatically translate a new input.

Machine Translation with Minimal Reliance on Parallel Resources

Author : George Tambouratzis
Publisher : Springer
ISBN 13 : 3319631071
Total Pages : 88 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Machine Translation with Minimal Reliance on Parallel Resources by : George Tambouratzis

Download or read book Machine Translation with Minimal Reliance on Parallel Resources written by George Tambouratzis and published by Springer. This book was released on 2017-08-09 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a unified view on a new methodology for Machine Translation (MT). This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a unique starting point to Statistical Machine Translation (SMT). In this book, a detailed presentation of the methodology principles and system architecture is followed by a series of experiments, where the proposed system is compared to other MT systems using a set of established metrics including BLEU, NIST, Meteor and TER. Additionally, a free-to-use code is available, that allows the creation of new MT systems. The volume is addressed to both language professionals and researchers. Prerequisites for the readers are very limited and include a basic understanding of the machine translation as well as of the basic tools of natural language processing.

Machine Learning in Translation Corpora Processing

Author : Krzysztof Wolk
Publisher : CRC Press
ISBN 13 : 0429588836
Total Pages : 209 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Machine Learning in Translation Corpora Processing by : Krzysztof Wolk

Download or read book Machine Learning in Translation Corpora Processing written by Krzysztof Wolk and published by CRC Press. This book was released on 2019-02-25 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews ways to improve statistical machine speech translation between Polish and English. Research has been conducted mostly on dictionary-based, rule-based, and syntax-based, machine translation techniques. Most popular methodologies and tools are not well-suited for the Polish language and therefore require adaptation, and language resources are lacking in parallel and monolingual data. The main objective of this volume to develop an automatic and robust Polish-to-English translation system to meet specific translation requirements and to develop bilingual textual resources by mining comparable corpora.

Quality Estimation for Machine Translation

Author : Lucia Specia
Publisher : Springer Nature
ISBN 13 : 3031021681
Total Pages : 148 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Quality Estimation for Machine Translation by : Lucia Specia

Download or read book Quality Estimation for Machine Translation written by Lucia Specia and published by Springer Nature. This book was released on 2022-05-31 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. In addition, reference-based metrics cannot be used in production (e.g., online machine translation systems), when systems are expected to produce outputs for any unseen input. In this book, we focus on the second set of metrics, so-called Quality Estimation (QE) metrics, where the goal is to provide an estimate on how good or reliable the texts produced by an application are without access to gold-standard outputs. QE enables different types of evaluation that can target different types of users and applications. Machine learning techniques are used to build QE models with various types of quality labels and explicit features or learnt representations, which can then predict the quality of unseen system outputs. This book describes the topic of QE for text-to-text applications, covering quality labels, features, algorithms, evaluation, uses, and state-of-the-art approaches. It focuses on machine translation as application, since this represents most of the QE work done to date. It also briefly describes QE for several other applications, including text simplification, text summarization, grammatical error correction, and natural language generation.

KI 2002: Advances in Artificial Intelligence

Author : Matthias Jarke
Publisher : Springer
ISBN 13 : 3540457518
Total Pages : 319 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis KI 2002: Advances in Artificial Intelligence by : Matthias Jarke

Download or read book KI 2002: Advances in Artificial Intelligence written by Matthias Jarke and published by Springer. This book was released on 2003-08-02 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th Annual German conference on Artificial Intelligence, KI 2002, held in Aachen, Germany in September 2002. The 20 revised full papers presented were carefully reviewed and selected from 58 submissions. The book offers topical sections on natural language processing; machine learning; knowledge representation, semantic web, and AI; neural networks; logic programming, theorem proving, and model checking; and vision and spatial reasoning.

Information Processing and Management

Author : Vinu V Das
Publisher : Springer
ISBN 13 : 3642122140
Total Pages : 680 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Information Processing and Management by : Vinu V Das

Download or read book Information Processing and Management written by Vinu V Das and published by Springer. This book was released on 2010-04-03 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is my pleasure to write the preface for Information Processing and Management. This book aims to bring together innovative results and new research trends in inf- mation processing, computer science and management engineering. If an information processing system is able to perform useful actions for an obj- tive in a given domain, it is because the system knows something about that domain. The more knowledge it has, the more useful it can be to its users. Without that kno- edge, the system itself is useless. In the information systems field, there is conceptual modeling for the activity that elicits and describes the general knowledge a particular information system needs to know. The main objective of conceptual modeling is to obtain that description, which is called a conceptual schema. Conceptual schemas are written in languages called conceptual modeling languages. Conceptual modeling is an important part of requi- ments engineering, the first and most important phase in the development of an inf- mation system.

Encyclopedia of Machine Learning

Author : Claude Sammut
Publisher : Springer Science & Business Media
ISBN 13 : 0387307680
Total Pages : 1061 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Encyclopedia of Machine Learning by : Claude Sammut

Download or read book Encyclopedia of Machine Learning written by Claude Sammut and published by Springer Science & Business Media. This book was released on 2011-03-28 with total page 1061 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.

International Conference on Intelligent Computing and Applications

Author : Subhransu Sekhar Dash
Publisher : Springer
ISBN 13 : 9811055203
Total Pages : 679 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis International Conference on Intelligent Computing and Applications by : Subhransu Sekhar Dash

Download or read book International Conference on Intelligent Computing and Applications written by Subhransu Sekhar Dash and published by Springer. This book was released on 2017-12-28 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of best papers presented in International Conference on Intelligent Computing and Applications (ICICA 2016) organized by Department of Computer Engineering, D.Y. Patil College of Engineering, Pune, India during 20-22 December 2016. The book presents original work, information, techniques and applications in the field of computational intelligence, power and computing technology. This volume also talks about image language processing, computer vision and pattern recognition, machine learning, data mining and computational life sciences, management of data including Big Data and analytics, distributed and mobile systems including grid and cloud infrastructure.