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Discourse in Statistical Machine Translation

Discourse in Statistical Machine Translation
Author: Christian Hardmeier
Publisher:
Total Pages: 0
Release: 2014-09-08
Genre: Computational linguistics
ISBN: 9789155489632

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Statistical Machine Translation

Statistical Machine Translation
Author: Philipp Koehn
Publisher: Cambridge University Press
Total Pages: 447
Release: 2010
Genre: Computers
ISBN: 0521874157

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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

Syntax-based Statistical Machine Translation
Author: Philip Williams
Publisher: Morgan & Claypool Publishers
Total Pages: 211
Release: 2016-08-01
Genre: Computers
ISBN: 1627055029

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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.


Statistical Language and Speech Processing

Statistical Language and Speech Processing
Author: Laurent Besacier
Publisher: Springer
Total Pages: 287
Release: 2014-09-02
Genre: Computers
ISBN: 3319113976

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This book constitutes the refereed proceedings of the Second International Conference on Statistical Language and Speech Processing, SLSP 2014, held in Grenoble, France, in October 2014. The 18 full papers presented together with three invited talks were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections on machine translation, speech and speaker recognition, machine learning methods, text extraction and categorization, and mining text.


Linguistically Motivated Statistical Machine Translation

Linguistically Motivated Statistical Machine Translation
Author: Deyi Xiong
Publisher: Springer
Total Pages: 159
Release: 2015-02-11
Genre: Language Arts & Disciplines
ISBN: 9812873562

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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.


New perspectives on cohesion and coherence

New perspectives on cohesion and coherence
Author: Katrin Menzel
Publisher: Language Science Press
Total Pages: 167
Release: 2017-06-23
Genre: Language Arts & Disciplines
ISBN: 3946234720

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The contributions to this volume investigate relations of cohesion and coherence as well as instantiations of discourse phenomena and their interaction with information structure in multilingual contexts. Some contributions concentrate on procedures to analyze cohesion and coherence from a corpus-linguistic perspective. Others have a particular focus on textual cohesion in parallel corpora that include both originals and translated texts. Additionally, the papers in the volume discuss the nature of cohesion and coherence with implications for human and machine translation. The contributors are experts on discourse phenomena and textuality who address these issues from an empirical perspective. The chapters in this volume are grounded in the latest research making this book useful to both experts of discourse studies and computational linguistics, as well as advanced students with an interest in these disciplines. We hope that this volume will serve as a catalyst to other researchers and will facilitate further advances in the development of cost-effective annotation procedures, the application of statistical techniques for the analysis of linguistic phenomena and the elaboration of new methods for data interpretation in multilingual corpus linguistics and machine translation.


Emerging Applications of Natural Language Processing: Concepts and New Research

Emerging Applications of Natural Language Processing: Concepts and New Research
Author: Bandyopadhyay, Sivaji
Publisher: IGI Global
Total Pages: 389
Release: 2012-10-31
Genre: Computers
ISBN: 1466621702

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"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.


Crossroads between Contrastive Linguistics, Translation Studies and Machine Translation

Crossroads between Contrastive Linguistics, Translation Studies and Machine Translation
Author: Oliver Czulo
Publisher: Language Science Press
Total Pages: 214
Release:
Genre:
ISBN: 3946234267

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Contrastive Linguistics (CL), Translation Studies (TS) and Machine Translation (MT) have common grounds: They all work at the crossroad where two or more languages meet. Despite their inherent relatedness, methodological exchange between the three disciplines is rare. This special issue touches upon areas where the three fields converge. It results directly from a workshop at the 2011 German Association for Language Technology and Computational Linguistics (GSCL) conference in Hamburg where researchers from the three fields presented and discussed their interdisciplinary work. While the studies contained in this volume draw from a wide variety of objectives and methods, and various areas of overlaps between CL, TS and MT are addressed, the volume is by no means exhaustive with regard to this topic. Further cross-fertilisation is not only desirable, but almost mandatory in order to tackle future tasks and endeavours.}


Empirical Studies of Translation and Interpreting

Empirical Studies of Translation and Interpreting
Author: Caiwen Wang
Publisher: Routledge
Total Pages: 206
Release: 2021-05-30
Genre: Computers
ISBN: 1000389847

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This edited book is a collection of the latest empirical studies of translation and interpreting (T&I) from the post-structuralist perspective. The contributors are professors, readers, senior lecturers, lecturers, and research students from an international context. The contributions are characterised by five themes: Intervention in T&I Process of T&I Product of T&I T&I and technology T&I education These up-to-date topics are reflective of the shift in attitudes that is being witnessed as a new generation of translation scholars rejects the subjective assertions of previous generations, in favour of an altogether more rigorous approach. The book will notably contribute to the development of T&I and enhance our knowledge of the areas. It will be a useful reference for academics, postgraduate research students, and professional translators and interpreters. The book will also play a role in proposing practical and empirically based ways of training for universities and the industry, so as to overcome traditional barriers to translation and interpreting learning. The book will additionally provide reference material for relevant professional bodies.


The Theory and Practice of Discourse Parsing and Summarization

The Theory and Practice of Discourse Parsing and Summarization
Author: Daniel Marcu
Publisher: MIT Press
Total Pages: 276
Release: 2000
Genre: Computers
ISBN: 9780262133722

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Most discourse researchers assume that full semantic understanding is necessary to derive the discourse structure of texts. This book documents an attempt to construct and use automatic and non-semantic computational structures for text summarization.