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Persian Computational Linguistics And Nlp
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Author :Katarzyna Marszałek-Kowalewska Publisher :Walter de Gruyter GmbH & Co KG ISBN 13 :3110619229 Total Pages :268 pages Book Rating :4.1/5 (16 download)
Book Synopsis Persian Computational Linguistics and NLP by : Katarzyna Marszałek-Kowalewska
Download or read book Persian Computational Linguistics and NLP written by Katarzyna Marszałek-Kowalewska and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-05-22 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Oxford Handbook of Persian Linguistics by : Anousha Sedighi
Download or read book The Oxford Handbook of Persian Linguistics written by Anousha Sedighi and published by Oxford University Press. This book was released on 2018-08-03 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook offers a comprehensive overview of the field of Persian linguistics, discusses its development, and captures critical accounts of cutting edge research within its major subfields, as well as outlining current debates and suggesting productive lines of future research. Leading scholars in the major subfields of Persian linguistics examine a range of topics split into six thematic parts. Following a detailed introduction from the editors, the volume begins by placing Persian in its historical and typological context in Part I. Chapters in Part II examine topics relating to phonetics and phonology, while Part III looks at approaches to and features of Persian syntax. The fourth part of the volume explores morphology and lexicography, as well as the work of the Academy of Persian Language and Literature. Part V, language and people, covers topics such as language contact and teaching Persian as a foreign language, while the final part examines psycho- neuro-, and computational linguistics. The volume will be an essential resource for all scholars with an interest in Persian language and linguistics.
Book Synopsis Natural Language Processing and Computational Linguistics by : Mohamed Zakaria Kurdi
Download or read book Natural Language Processing and Computational Linguistics written by Mohamed Zakaria Kurdi and published by John Wiley & Sons. This book was released on 2016-08-22 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural language processing (NLP) is a scientific discipline which is found at the interface of computer science, artificial intelligence and cognitive psychology. Providing an overview of international work in this interdisciplinary field, this book gives the reader a panoramic view of both early and current research in NLP. Carefully chosen multilingual examples present the state of the art of a mature field which is in a constant state of evolution. In four chapters, this book presents the fundamental concepts of phonetics and phonology and the two most important applications in the field of speech processing: recognition and synthesis. Also presented are the fundamental concepts of corpus linguistics and the basic concepts of morphology and its NLP applications such as stemming and part of speech tagging. The fundamental notions and the most important syntactic theories are presented, as well as the different approaches to syntactic parsing with reference to cognitive models, algorithms and computer applications.
Book Synopsis Trends in Iranian and Persian Linguistics by : Alireza Korangy
Download or read book Trends in Iranian and Persian Linguistics written by Alireza Korangy and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-01-22 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set of essays highlights the state of the art in the linguistics of Iranian languages. The contributions span the full range of linguistic inquiry, including pragmatics, syntax, semantics, phonology/phonetics, lexicography, historical linguistics and poetics and covering a wide set of Iranian languages including Persian, Balochi, Kurdish and Ossetian. This book will engage both the active scholar in the field as well as linguists from other fields seeking to assess the latest developments in Iranian linguistics.
Book Synopsis Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data by : Maosong Sun
Download or read book Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data written by Maosong Sun and published by Springer. This book was released on 2013-10-04 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th China National Conference on Computational Linguistics, CCL 2013, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2013, held in Suzhou, China, in October 2013. The 32 papers presented were carefully reviewed and selected from 252 submissions. The papers are organized in topical sections on word segmentation; open-domain question answering; discourse, coreference and pragmatics; statistical and machine learning methods in NLP; semantics; text mining, open-domain information extraction and machine reading of the Web; sentiment analysis, opinion mining and text classification; lexical semantics and ontologies; language resources and annotation; machine translation; speech recognition and synthesis; tagging and chunking; and large-scale knowledge acquisition and reasoning.
Book Synopsis Natural Language Processing for Global and Local Business by : Pinarbasi, Fatih
Download or read book Natural Language Processing for Global and Local Business written by Pinarbasi, Fatih and published by IGI Global. This book was released on 2020-07-31 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of natural language processing has become one of the preferred methods to better understand consumers, especially in recent years when digital technologies and research methods have developed exponentially. It has become apparent that when responding to international consumers through multiple platforms and speaking in the same language in which the consumers express themselves, companies are improving their standings within the public sphere. Natural Language Processing for Global and Local Business provides research exploring the theoretical and practical phenomenon of natural language processing through different languages and platforms in terms of today's conditions. Featuring coverage on a broad range of topics such as computational linguistics, information engineering, and translation technology, this book is ideally designed for IT specialists, academics, researchers, students, and business professionals seeking current research on improving and understanding the consumer experience.
Book Synopsis Natural Language Processing for Social Media by : Atefeh Farzindar
Download or read book Natural Language Processing for Social Media written by Atefeh Farzindar and published by Springer Nature. This book was released on 2015-08-31 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on Natural Language Processing (NLP) tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, business intelligence, industry, marketing, and security and defense. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, and social networking.
Book Synopsis Natural Language Processing for Social Media, Second Edition by : Atefeh Farzindar
Download or read book Natural Language Processing for Social Media, Second Edition written by Atefeh Farzindar and published by Springer Nature. This book was released on 2017-12-15 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.
Book Synopsis Introduction to Arabic Natural Language Processing by : Nizar Y. Habash
Download or read book Introduction to Arabic Natural Language Processing written by Nizar Y. Habash and published by Morgan & Claypool Publishers. This book was released on 2010 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena and review the state-of-the-art in Arabic processing. The book discusses Arabic script, phonology, orthography, morphology, syntax and semantics, with a final chapter on machine translation issues. The chapter sizes correspond more or less to what is linguistically distinctive about Arabic, with morphology getting the lion's share, followed by Arabic script. No previous knowledge of Arabic is needed. This book is designed for computer scientists and linguists alike. The focus of the book is on Modern Standard Arabic; however, notes on practical issues related to Arabic dialects and languages written in the Arabic script are presented in different chapters. Table of Contents: What is "Arabic"? / Arabic Script / Arabic Phonology and Orthography / Arabic Morphology / Computational Morphology Tasks / Arabic Syntax / A Note on Arabic Semantics / A Note on Arabic and Machine Translation
Book Synopsis Intelligent Natural Language Processing: Trends and Applications by : Khaled Shaalan
Download or read book Intelligent Natural Language Processing: Trends and Applications written by Khaled Shaalan and published by Springer. This book was released on 2017-11-17 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned. Taken together, the chapters of this book provide a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of intelligent natural language processing. The book presents the state-of-the-art in research on natural language processing, computational linguistics, applied Arabic linguistics and related areas. New trends in natural language processing systems are rapidly emerging – and finding application in various domains including education, travel and tourism, and healthcare, among others. Many issues encountered during the development of these applications can be resolved by incorporating language technology solutions. The topics covered by the book include: Character and Speech Recognition; Morphological, Syntactic, and Semantic Processing; Information Extraction; Information Retrieval and Question Answering; Text Classification and Text Mining; Text Summarization; Sentiment Analysis; Machine Translation Building and Evaluating Linguistic Resources; and Intelligent Language Tutoring Systems.
Book Synopsis Natural Language Processing for Social Media, Third Edition by : Anna Atefeh Farzindar
Download or read book Natural Language Processing for Social Media, Third Edition written by Anna Atefeh Farzindar and published by Springer Nature. This book was released on 2022-05-31 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF). In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.
Book Synopsis Computational Linguistics and Intelligent Text Processing by : Alexander Gelbukh
Download or read book Computational Linguistics and Intelligent Text Processing written by Alexander Gelbukh and published by Springer. This book was released on 2012-03-06 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, consisting of LNCS 7181 and LNCS 7182, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, held in New Delhi, India, in March 2012. The total of 92 full papers were carefully reviewed and selected for inclusion in the proceedings. The contents have been ordered according to the following topical sections: NLP system architecture; lexical resources; morphology and syntax; word sense disambiguation and named entity recognition; semantics and discourse; sentiment analysis, opinion mining, and emotions; natural language generation; machine translation and multilingualism; text categorization and clustering; information extraction and text mining; information retrieval and question answering; document summarization; and applications.
Download or read book ECAI 2006 written by Gerhard Brewka and published by IOS Press. This book was released on 2006 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Linguistics and Intelligent Text Processing by : Alexander Gelbukh
Download or read book Computational Linguistics and Intelligent Text Processing written by Alexander Gelbukh and published by Springer. This book was released on 2018-10-09 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017. The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers. The papers are organized in the following topical sections: Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities. Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications.
Book Synopsis Multilingual Natural Language Processing Applications by : Daniel Bikel
Download or read book Multilingual Natural Language Processing Applications written by Daniel Bikel and published by IBM Press. This book was released on 2012-05-11 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today’s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy. Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more. This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others. Coverage includes Core NLP problems, and today’s best algorithms for attacking them Processing the diverse morphologies present in the world’s languages Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality Recognizing inferences, subjectivity, and opinion polarity Managing key algorithmic and design tradeoffs in real-world applications Extracting information via mention detection, coreference resolution, and events Building large-scale systems for machine translation, information retrieval, and summarization Answering complex questions through distillation and other advanced techniques Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management Constructing common infrastructure for multiple multilingual text processing applications This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.
Author : Publisher :IOS Press ISBN 13 : Total Pages :7289 pages Book Rating :4./5 ( download)
Download or read book written by and published by IOS Press. This book was released on with total page 7289 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the International Conference on Natural Language Processing (ICON--2005) by :
Download or read book Proceedings of the International Conference on Natural Language Processing (ICON--2005) written by and published by Allied Publishers. This book was released on 2005 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contributed papers presented at the 2005 International Conference, held at IIT Kanpur, organized by NLP Association of India, etc.
