Introducing Linguistic Knowledge Into Statistical Machine Translation

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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.

Readings in Machine Translation

Author : Sergei Nirenburg
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.

Linguistically Motivated Statistical Machine Translation

Author : Deyi Xiong
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

Author : Joseph Olive
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

Author : Eugene Charniak
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.

Challenges for Arabic Machine Translation

Author : Abdelhadi Soudi
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

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.

Progress in Machine Translation

Author : Sergei Nirenburg
Publisher : IOS Press
ISBN 13 : 9789051990744
Total Pages : 338 pages
Book Rating : 4.9/5 (97 download)

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Book Synopsis Progress in Machine Translation by : Sergei Nirenburg

Download or read book Progress in Machine Translation written by Sergei Nirenburg and published by IOS Press. This book was released on 1993 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to Machine Translation

Author : William John Hutchins
Publisher :
ISBN 13 :
Total Pages : 392 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis An Introduction to Machine Translation by : William John Hutchins

Download or read book An Introduction to Machine Translation written by William John Hutchins and published by . This book was released on 1992 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The translation of foreign language texts by computers was one of the first tasks that the pioneers of computing and artificial intelligence set themselves. Machine translation is again becoming an important field of research and development as the need for translations of technical and commercial documentation is growing beyond the capacity of the translation profession.

The Routledge Handbook of African Linguistics

Author : Augustine Agwuele
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.

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.

Introduction to Google Translate

Author : Gilad James, PhD
Publisher : Gilad James Mystery School
ISBN 13 : 4699701892
Total Pages : 90 pages
Book Rating : 4.6/5 (997 download)

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Book Synopsis Introduction to Google Translate by : Gilad James, PhD

Download or read book Introduction to Google Translate written by Gilad James, PhD and published by Gilad James Mystery School. This book was released on with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: Google Translate is a multilingual translation service provided by Google. It allows users to translate words, phrases, and entire documents between multiple languages. The service was launched in April 2006 and has since been constantly updated to provide more accurate translations. Initially offering translations in only two languages, Google Translate now supports over 100 languages. The translation process works by analyzing the text or document input by the user, breaking it up into smaller segments, and then using statistical algorithms to match these segments with translations from its database. Google Translate has been a helpful tool for people to communicate across different languages, whether it be for business or personal use. However, it must be noted that automated translations often carry a high risk of inaccuracies due to the complexities inherent in language and the nuances of different cultures and contexts. It is always recommended to use translations as a starting point, and then have a native speaker review and refine the language to ensure accuracy.

Proceedings of Ninth International Congress on Information and Communication Technology

Author : Xin-She Yang
Publisher : Springer Nature
ISBN 13 : 9819735629
Total Pages : 656 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Proceedings of Ninth International Congress on Information and Communication Technology by : Xin-She Yang

Download or read book Proceedings of Ninth International Congress on Information and Communication Technology written by Xin-She Yang and published by Springer Nature. This book was released on with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hybrid Approaches to Machine Translation

Author : Marta R. Costa-jussà
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.

Textual Information Access

Author : Eric Gaussier
Publisher : John Wiley & Sons
ISBN 13 : 1118562801
Total Pages : 334 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Textual Information Access by : Eric Gaussier

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.

Data-Intensive Text Processing with MapReduce

Author : Jimmy Lin
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

Distributed Computing and Artificial Intelligence

Author : Andre Ponce de Leon F. de Carvalho
Publisher : Springer Science & Business Media
ISBN 13 : 3642148832
Total Pages : 707 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Distributed Computing and Artificial Intelligence by : Andre Ponce de Leon F. de Carvalho

Download or read book Distributed Computing and Artificial Intelligence written by Andre Ponce de Leon F. de Carvalho and published by Springer Science & Business Media. This book was released on 2010-11-18 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Symposium on Distributed Computing and Artificial Intel- gence (DCAI ́10) is an annual forum that brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application to provide efficient solutions to real problems. This symposium is organized by the Biomedicine, Intelligent System and Edu- tional Technology Research Group (http://bisite. usal. es/) of the University of - lamanca. The present edition has been held at the Polytechnic University of - lencia, from 7 to 10 September 2010, within the Congreso Español de Informática (CEDI 2010). Technology transfer in this field is still a challenge, with a large gap between academic research and industrial products. This edition of DCAI aims at contributing to reduce this gap, with a stimulating and productive forum where these communities can work towards future cooperation with social and econo- cal benefits. This conference is the forum in which to present application of in- vative techniques to complex problems. Artificial intelligence is changing our - ciety. Its application in distributed environments, such as internet, electronic commerce, environment monitoring, mobile communications, wireless devices, distributed computing, to cite some, is continuously increasing, becoming an e- ment of high added value with social and economic potential, both industry, life quality and research. These technologies are changing constantly as a result of the large research and technical effort being undertaken in universities, companies.