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Book Statistical Language and Speech Processing

Download or read book Statistical Language and Speech Processing written by Laurent Besacier and published by Springer. This book was released on 2014-09-02 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Syntax based Statistical Machine Translation

Download or read book Syntax based Statistical Machine Translation written by Philip Williams and published by Morgan & Claypool Publishers. This book was released on 2016-08-01 with total page 211 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.

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 Quality Estimation for Machine Translation

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.

Book Computational Linguistics and Intelligent Text Processing

Download or read book Computational Linguistics and Intelligent Text Processing written by Alexander Gelbukh and published by Springer. This book was released on 2018-03-20 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff’s Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications.

Book The Grammar of Genres and Styles

Download or read book The Grammar of Genres and Styles written by Dominique Legallois and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-04-09 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides new findings about the grammar of genres and styles. It combines new methods with different kinds of empirical material, from social reports to live TV sports commentaries or 16th century newspapers, in English, French, Latin and Spanish. The study of non-discrete units suggests new ways of seeing the linguistic variation between genres and styles and the ways in which belonging to a genre predetermines linguistic choices.

Book Flexible Query Answering Systems

Download or read book Flexible Query Answering Systems written by Henrik Legind Larsen and published by Springer Nature. This book was released on 2023-10-08 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference on Flexible Query Answering Systems, FQAS 2023, held in September 2023 in Palma de Mallorca, Spain. The 24 full papers presented were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: Flexible Queries over Semantic Systems; Advanced Methods and Applications in Natural Language; Processing (NLP); New Advances in Disinformation Detection; Data and Text Mining; Applying AI to Social Science and Social Science to AI; Artificial Intelligence Law and Regulation.

Book Foundations of Intelligent Systems

Download or read book Foundations of Intelligent Systems written by Floriana Esposito and published by Springer. This book was released on 2015-11-02 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 22nd International Symposium on Methodologies for Intelligent Systems, ISMIS 2015, held in Lyon, France, in October 2015. The 31 revised full papers presented together with 18 short papers were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on data mining methods; databases, information retrieval, recommender systems; machine learning; knowledge representation, semantic web; emotion recognition, music information retrieval; network analysis, multi-agent systems; applications; planning, classification; and textual data analysis and mining.

Book Text  Speech  and Dialogue

Download or read book Text Speech and Dialogue written by Ivan Habernal and published by Springer. This book was released on 2013-08-17 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Conference on Text, Speech and Dialogue, TSD 2013, held in Pilsen, Czech Republic, in September 2013. The 65 papers presented together with 5 invited talks were carefully reviewed and selected from 148 submissions. The main topics of this year's conference was corpora, texts and transcription, speech analysis, recognition and synthesis, and their intertwining within NL dialogue systems. The topics also included speech recognition, corpora and language resources, speech and spoken language generation, tagging, classification and parsing of text and speech, semantic processing of text and speech, integrating applications of text and speech processing, as well as automatic dialogue systems, and multimodal techniques and modelling.

Book Translation Quality Assessment

Download or read book Translation Quality Assessment written by Joss Moorkens and published by Springer. This book was released on 2018-07-13 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first volume that brings together research and practice from academic and industry settings and a combination of human and machine translation evaluation. Its comprehensive collection of papers by leading experts in human and machine translation quality and evaluation who situate current developments and chart future trends fills a clear gap in the literature. This is critical to the successful integration of translation technologies in the industry today, where the lines between human and machine are becoming increasingly blurred by technology: this affects the whole translation landscape, from students and trainers to project managers and professionals, including in-house and freelance translators, as well as, of course, translation scholars and researchers. The editors have broad experience in translation quality evaluation research, including investigations into professional practice with qualitative and quantitative studies, and the contributors are leading experts in their respective fields, providing a unique set of complementary perspectives on human and machine translation quality and evaluation, combining theoretical and applied approaches.

Book Machine Learning and Big Data Analytics

Download or read book Machine Learning and Big Data Analytics written by Rajiv Misra and published by Springer Nature. This book was released on 2023-06-06 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.

Book Explorations in Empirical Translation Process Research

Download or read book Explorations in Empirical Translation Process Research written by Michael Carl and published by Springer Nature. This book was released on 2021-07-27 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book assembles fifteen original, interdisciplinary research chapters that explore methodological and conceptual considerations as well as user and usage studies to elucidate the relation between the translation product and translation/post-editing processes. It introduces numerous innovative empirical/data-driven measures as well as novel classification schemes and taxonomies to investigate and quantify the relation between translation quality and translation effort in from-scratch translation, machine translation post-editing and computer-assisted audiovisual translation. The volume addresses questions in the translation of cognates, neologisms, metaphors, and idioms, as well as figurative and cultural specific expressions. It re-assesses the notion of translation universals and translation literality, elaborates on the definition of translation units and syntactic equivalence, and investigates the impact of translation ambiguity and translation entropy. The results and findings are interpreted in the context of psycho-linguistic models of bilingualism and re-frame empirical translation process research within the context of modern dynamic cognitive theories of the mind. The volume bridges the gap between translation process research and machine translation research. It appeals to students and researchers in the fields.

Book Empirical Studies of Translation and Interpreting

Download or read book Empirical Studies of Translation and Interpreting written by Caiwen Wang and published by Routledge. This book was released on 2021-05-30 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Artificial Intelligence and Natural Language

Download or read book Artificial Intelligence and Natural Language written by Dmitry Ustalov and published by Springer. This book was released on 2018-09-28 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th Conference on Artificial Intelligence and Natural Language, AINL 2018, held in St. Petersburg, Russia, in October 2018. The 19 revised full papers were carefully reviewed and selected from 56 submissions and cover a wide range of topics, including morphology and word-level semantics, sentence and discourse representations, corpus linguistics, language resources, and social interaction analysis.

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 2022-05-23 with total page 1312 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 Social Media Processing

Download or read book Social Media Processing written by Xueqi Cheng and published by Springer. This book was released on 2017-10-24 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 6th National Conference of Social Media Processing, SMP 2017, held in Beijing, China, in September 2017. The 28 revised full papers presented were carefully reviewed and selected from 140 submissions. The papers address issues such as: knowledge discovery for data; natural language processing; text mining and sentiment analysis; social network analysis and social computing.

Book Text  Speech  and Dialogue

Download or read book Text Speech and Dialogue written by Petr Sojka and published by Springer Nature. This book was released on 2022-09-15 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 25th International Conference on Text, Speech, and Dialogue, TSD 2022, held in Brno, Czech Republic, in September 2022. The 43 papers presented in this volume were carefully reviewed and selected from 94 submissions. The topical sections "Text", "Speech", and "Dialogue" deal with the following issues: speech recognition; corpora and language resources; speech and spoken language generation; tagging, classification and parsing of text and speech; semantic processing of text and speech; integrating applications of text and speech processing; automatic dialogue systems; multimodal techniques and modelling.