Syntax-based Statistical Machine Translation

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Author :
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.

Challenges for Arabic Machine Translation

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Publisher : John Benjamins Publishing
ISBN 13 : 9027273626
Total Pages : 167 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis Challenges for Arabic Machine Translation by : Abdelhadi Soudi

Download or read book Challenges for Arabic Machine Translation written by Abdelhadi Soudi and published by John Benjamins Publishing. This book was released on 2012-08-01 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first volume that focuses on the specific challenges of machine translation with Arabic either as source or target language. It nicely fills a gap in the literature by covering approaches that belong to the three major paradigms of machine translation: Example-based, statistical and knowledge-based. It provides broad but rigorous coverage of the methods for incorporating linguistic knowledge into empirical MT. The book brings together original and extended contributions from a group of distinguished researchers from both academia and industry. It is a welcome and much-needed repository of important aspects in Arabic Machine Translation such as morphological analysis and syntactic reordering, both central to reducing the distance between Arabic and other languages. Most of the proposed techniques are also applicable to machine translation of Semitic languages other than Arabic, as well as translation of other languages with a complex morphology.

Statistical Machine Translation

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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.

Readings in Machine Translation

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Publisher : MIT Press
ISBN 13 : 9780262140744
Total Pages : 444 pages
Book Rating : 4.1/5 (47 download)

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Book Synopsis Readings in Machine Translation by : Sergei Nirenburg

Download or read book Readings in Machine Translation written by Sergei Nirenburg and published by MIT Press. This book was released on 2003 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of machine translation (MT) - the automation of translation between human languages - has existed for more than 50 years. MT helped to usher in the field of computational linguistics and has influenced methods and applications in knowledge representation, information theory, and mathematical statistics.

Discourse in Statistical Machine Translation

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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:

Linguistically Motivated Statistical Machine Translation

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Author :
Publisher : Springer
ISBN 13 : 9812873562
Total Pages : 159 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 159 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.

Handbook of Natural Language Processing and Machine Translation

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Publisher : Springer Science & Business Media
ISBN 13 : 1441977139
Total Pages : 956 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Handbook of Natural Language Processing and Machine Translation by : Joseph Olive

Download or read book Handbook of Natural Language Processing and Machine Translation written by Joseph Olive and published by Springer Science & Business Media. This book was released on 2011-03-02 with total page 956 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program--The Global Autonomous Language Exploitation within the Defense Advanced Research Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation. The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research programs, each of the individual processes was performed separately and sequentially: speech recognition, language recognition, transcription, translation, and content summarization. The GALE program employed a distinctly new approach by executing these processes simultaneously. Speech and language recognition algorithms now aid translation and transcription processes and vice versa. This combination of previously distinct processes has produced significant research and performance breakthroughs and has fundamentally changed the natural language processing and machine translation fields. This comprehensive handbook provides an exhaustive exploration into these latest technologies in natural language, speech and signal processing, and machine translation, providing researchers, practitioners and students with an authoritative reference on the topic.

Statistical Language Learning

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Publisher : MIT Press
ISBN 13 : 9780262531412
Total Pages : 196 pages
Book Rating : 4.5/5 (314 download)

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Book Synopsis Statistical Language Learning by : Eugene Charniak

Download or read book Statistical Language Learning written by Eugene Charniak and published by MIT Press. This book was released on 1996 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text introduces statistical language processing techniques--word tagging, parsing with probabilistic context free grammars, grammar induction, syntactic disambiguation, semantic word classes, word-sense disambiguation--along with the underlying mathematics and chapter exercises.

Neural Machine Translation

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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.

Natural Language Processing – IJCNLP 2005

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Publisher : Springer Science & Business Media
ISBN 13 : 3540291725
Total Pages : 1051 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Natural Language Processing – IJCNLP 2005 by : Robert Dale

Download or read book Natural Language Processing – IJCNLP 2005 written by Robert Dale and published by Springer Science & Business Media. This book was released on 2005-09-30 with total page 1051 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the Second International Joint Conference on Natural Language Processing, IJCNLP 2005, held in Jeju Island, Korea in October 2005. The 88 revised full papers presented in this volume were carefully reviewed and selected from 289 submissions. The papers are organized in topical sections on information retrieval, corpus-based parsing, Web mining, rule-based parsing, disambiguation, text mining, document analysis, ontology and thesaurus, relation extraction, text classification, transliteration, machine translation, question answering, morphological analysis, text summarization, named entity recognition, linguistic resources and tools, discourse analysis, semantic analysis NLP applications, tagging, language models, spoken language, and terminology mining.

Hybrid Approaches to Machine Translation

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Author :
Publisher : Springer
ISBN 13 : 3319213113
Total Pages : 208 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Hybrid Approaches to Machine Translation by : Marta R. Costa-jussà

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.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3642102670
Total Pages : 1082 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Eduardo Bayro Corrochano

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Eduardo Bayro Corrochano and published by Springer Science & Business Media. This book was released on 2009-10-26 with total page 1082 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th Iberoamerican Congress on Pattern Recognition, CIARP 2009, held in Guadalajara, Mexico, in November 2009. The 64 revised full papers presented together with 44 posters were carefully reviewed and selected from 187 submissions. The papers are organized in topical sections on image coding, processing and analysis; segmentation, analysis of shape and texture; geometric image processing and analysis; analysis of signal, speech and language; document processing and recognition; feature extraction, clustering and classification; statistical pattern recognition; neural networks for pattern recognition; computer vision; video segmentation and tracking; robot vision; intelligent remote sensing, imagery research and discovery techniques; intelligent computing for remote sensing imagery; as well as intelligent fusion and classification techniques.

Machine Translation and the Information Soup

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Publisher : Springer
ISBN 13 : 3540494782
Total Pages : 551 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Machine Translation and the Information Soup by : David Farwell

Download or read book Machine Translation and the Information Soup written by David Farwell and published by Springer. This book was released on 2003-06-29 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Translation and the Information Soup! Over the past fty years, machine translation has grown from a tantalizing dream to a respectable and stable scienti c-linguistic enterprise, with users, c- mercial systems, university research, and government participation. But until very recently, MT has been performed as a relatively distinct operation, so- what isolated from other text processing. Today, this situation is changing rapidly. The explosive growth of the Web has brought multilingual text into the reach of nearly everyone with a computer. We live in a soup of information, an increasingly multilingual bouillabaisse. And to partake of this soup, we can use MT systems together with more and more tools and language processing technologies|information retrieval engines, - tomated text summarizers, and multimodal and multilingual displays. Though some of them may still be rather experimental, and though they may not quite t together well yet, it is clear that the future will o er text manipulation systems that contain all these functions, seamlessly interconnected in various ways.

ECAI 2004

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Publisher : IOS Press
ISBN 13 : 9781586034528
Total Pages : 1184 pages
Book Rating : 4.0/5 (345 download)

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Book Synopsis ECAI 2004 by : Ramon López de Mántaras

Download or read book ECAI 2004 written by Ramon López de Mántaras and published by IOS Press. This book was released on 2004 with total page 1184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the Golden Age for Artificial Intelligence. The world is becoming increasingly automated and wired together. This also increases the opportunities for AI to help people and commerce. Almost every sub field of AI had now been used in substantial applications. Some of the fields highlighted in this publication are: CBR Technology; Model Based Systems; Data Mining and Natural Language Techniques. Not only does this publication show the activities, capabilities and accomplishments of the sub fields, it also focuses on what is happening across the field as a whole.

Advances in Empirical Translation Studies

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Publisher : Cambridge University Press
ISBN 13 : 1108423272
Total Pages : 285 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Advances in Empirical Translation Studies by : Meng Ji

Download or read book Advances in Empirical Translation Studies written by Meng Ji and published by Cambridge University Press. This book was released on 2019-06-13 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the integration of theoretical and applied translation studies for socially-oriented and data-driven empirical translation research.

Data-Intensive Text Processing with MapReduce

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 160845343X
Total Pages : 177 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Data-Intensive Text Processing with MapReduce by : Jimmy Lin

Download or read book Data-Intensive Text Processing with MapReduce written by Jimmy Lin and published by Morgan & Claypool Publishers. This book was released on 2010-10-10 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks

The Routledge Handbook of African Linguistics

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Publisher : Routledge
ISBN 13 : 1315392968
Total Pages : 647 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis The Routledge Handbook of African Linguistics by : Augustine Agwuele

Download or read book The Routledge Handbook of African Linguistics written by Augustine Agwuele and published by Routledge. This book was released on 2018-03-09 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of African Linguistics provides a holistic coverage of the key themes, subfields, approaches and practical application to the vast areas subsumable under African linguistics that will serve researchers working across the wide continuum in the field. Established and emerging scholars of African languages who are active and current in their fields are brought together, each making use of data from a linguistic group in Africa to explicate a chosen theme within their area of expertise, and illustrate the practice of the discipline in the continent.