Proceedings of the Conference, 38th Annual Meeting of the Association for Computational Linguistics
| Author | : Association for Computational Linguistics |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2000 |
| Genre | : |
| ISBN | : 9781558607293 |
Proceedings Of The 38th Annual Meeting On The Association For Computational Linguistics
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Thirty-eighth Annual Meeting of the Association for Computational Linguistics
| Author | : Association for Computational Linguistics. Meeting |
| Publisher | : |
| Total Pages | : 602 |
| Release | : 2000 |
| Genre | : Computation linguistics |
| ISBN | : 9781558607293 |
The Handbook of Computational Linguistics and Natural Language Processing
| Author | : Alexander Clark |
| Publisher | : John Wiley & Sons |
| Total Pages | : 802 |
| Release | : 2013-04-24 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1118448677 |
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
Statistical Machine Translation
| Author | : Philipp Koehn |
| Publisher | : Cambridge University Press |
| Total Pages | : 447 |
| Release | : 2010 |
| Genre | : Computers |
| ISBN | : 0521874157 |
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.
Proceedings of International Conference on Frontiers in Computing and Systems
| Author | : Subhadip Basu |
| Publisher | : Springer Nature |
| Total Pages | : 601 |
| Release | : 2022-06-27 |
| Genre | : Technology & Engineering |
| ISBN | : 9811901058 |
This book gathers outstanding research papers presented at the 2nd International Conference on Frontiers in Computing and Systems (COMSYS 2021), organized by Department of Electronics and Communication Engineering and Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India held during September 29–October 1, 2021. The book presents the latest research and results in various fields of machine learning, computational intelligence, VLSI, networks and systems, computational biology, and security, making it a rich source of reference material for academia and industry alike.
Automatic Summarization
| Author | : Inderjeet Mani |
| Publisher | : John Benjamins Publishing |
| Total Pages | : 304 |
| Release | : 2001 |
| Genre | : Computers |
| ISBN | : 9789027249869 |
With the explosion in the quantity of on-line text and multimedia information in recent years, there has been a renewed interest in automatic summarization. This book provides a systematic introduction to the field, explaining basic definitions, the strategies used by human summarizers, and automatic methods that leverage linguistic and statistical knowledge to produce extracts and abstracts. Drawing from a wealth of research in artificial intelligence, natural language processing, and information retrieval, the book also includes detailed assessments of evaluation methods and new topics such as multi-document and multimedia summarization. Previous automatic summarization books have been either collections of specialized papers, or else authored books with only a chapter or two devoted to the field as a whole. This is the first textbook on the subject, developed based on teaching materials used in two one-semester courses. To further help the student reader, the book includes detailed case studies, accompanied by end-of-chapter reviews and an extensive glossary.Audience: students and researchers, as well as information technology managers, librarians, and anyone else interested in the subject.
Empirical Methods in Natural Language Generation
| Author | : Emiel Krahmer |
| Publisher | : Springer |
| Total Pages | : 363 |
| Release | : 2010-08-17 |
| Genre | : Computers |
| ISBN | : 3642155731 |
Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research.
Time Expression and Named Entity Recognition
| Author | : Xiaoshi Zhong |
| Publisher | : Springer Nature |
| Total Pages | : 113 |
| Release | : 2021-08-23 |
| Genre | : Computers |
| ISBN | : 3030789616 |
This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text. For modeling these two kinds of entities, the authors propose a rule-based method that introduces an abstracted layer between the specific words and the rules, and two learning-based methods that define a new type of tagging scheme based on the constituents of the entities, different from conventional position-based tagging schemes that cause the problem of inconsistent tag assignment. The authors also find that the length-frequency of entities follows a family of power-law distributions. This finding opens a door, complementary to the rank-frequency of words, to understand our communicative system in terms of language use.
The Routledge Handbook of Translation and Technology
| Author | : Minako O'Hagan |
| Publisher | : Routledge |
| Total Pages | : 644 |
| Release | : 2019-08-23 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1315311232 |
The Routledge Handbook of Translation and Technology provides a comprehensive and accessible overview of the dynamically evolving relationship between translation and technology. Divided into five parts, with an editor's introduction, this volume presents the perspectives of users of translation technologies, and of researchers concerned with issues arising from the increasing interdependency between translation and technology. The chapters in this Handbook tackle the advent of technologization at both a technical and a philosophical level, based on industry practice and academic research. Containing over 30 authoritative, cutting-edge chapters, this is an essential reference and resource for those studying and researching translation and technology. The volume will also be valuable for translators, computational linguists and developers of translation tools.
Learning Machine Translation
| Author | : Cyril Goutte |
| Publisher | : MIT Press |
| Total Pages | : 329 |
| Release | : 2009 |
| Genre | : Computers |
| ISBN | : 0262072971 |
How Machine Learning can improve machine translation: enabling technologies and new statistical techniques.
