Natural Language Processing in POP-11

Download Natural Language Processing in POP-11 PDF Online Free

Author :
Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 552 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!


Book Synopsis Natural Language Processing in POP-11 by : Gerald Gazdar

Download or read book Natural Language Processing in POP-11 written by Gerald Gazdar and published by Addison Wesley Publishing Company. This book was released on 1989 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence

Download Artificial Intelligence PDF Online Free

Author :
Publisher : New Age International
ISBN 13 : 9788122416619
Total Pages : 388 pages
Book Rating : 4.4/5 (166 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence by : Christopher Thornton

Download or read book Artificial Intelligence written by Christopher Thornton and published by New Age International. This book was released on 2007 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Innovative Book On Artificial Intelligence (Ai) Uses The Unifying Thread Of Search To Bring Together The Major Application And Modeling Techniques That Use Symbolic Ai. Each Of The 11 Chapters Is Divided Into 3 Sections:# Section Which Introduces The Techniques# Section Which Develops A Low-Level (Pop-11) Implementation# Section Which Develops A High-Level (Prolog) ImplementationComprehensive Yet Practical, This Book Will Be Of Great Value To Those Experienced In Ai, As Well As To Students With Some Programming Background And Academics And Professionals Looking For A Precise Discussion Of Ai Through Search.This Special Low-Priced Edition Is For Sale In India, Bangladesh, Bhutan, Maldives, Nepal, Myanmar, Pakistan And Sri Lanka Only.

Artificial Intelligence Through Search

Download Artificial Intelligence Through Search PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9401128367
Total Pages : 371 pages
Book Rating : 4.4/5 (11 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence Through Search by : Chris Thornton

Download or read book Artificial Intelligence Through Search written by Chris Thornton and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an important textbook on artificial intelligence that uses the unifying thread of search to bring together most of the major techniques used in symbolic artificial intelligence. The authors, aware of the pitfalls of being too general or too academic, have taken a practical approach in that they include program code to illustrate their ideas. Furthermore, code is offered in both POP-11 and Prolog, thereby giving a dual perspective, highlighting the merits of these languages. Each chapter covers one technique and divides up into three sections: a section which introduces the technique (and its usual applications) andsuggests how it can be understood as a variant/generalisation of search; a section which developed a `low'-level (POP-11) implementation; a section which develops a high-level (Prolog) implementation of the technique. The authors also include useful notes on alternative treatments to the material, further reading and exercises. As a practical book it will be welcomed by a wide audience including, those already experienced in AI, students with some background in programming who are taking an introductory course in AI, and lecturers looking for a precise, professional and practical text book to use in their AI courses. About the authors: Dr Christopher Thornton has a BA in Economics, an Sc in Computer Science and a DPhil in Artificial Intelligence. Formerly a lecturer in the Department of AI at the University of Edinburgh, he is now a lecturer in AI in the School of Cognitive and Computing Sciences at the University of Sussex. Professor Benedict du Boulay has a BSc in Physics and a PhD in Artificial Intelligence. Previously a lecturer in the Department of Computing Science at the University of Aberdeen he is currently Professor of Artificial Intelligence, also in the School of Cognitive and Computing Sciences, University of Sussex.

Mastering Natural Language Processing with Python

Download Mastering Natural Language Processing with Python PDF Online Free

Author :
Publisher : Packt Publishing
ISBN 13 : 9781783989041
Total Pages : 238 pages
Book Rating : 4.9/5 (89 download)

DOWNLOAD NOW!


Book Synopsis Mastering Natural Language Processing with Python by : Deepti Chopra

Download or read book Mastering Natural Language Processing with Python written by Deepti Chopra and published by Packt Publishing. This book was released on 2016-06-10 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maximize your NLP capabilities while creating amazing NLP projects in PythonAbout This Book* Learn to implement various NLP tasks in Python* Gain insights into the current and budding research topics of NLP* This is a comprehensive step-by-step guide to help students and researchers create their own projects based on real-life applicationsWho This Book Is ForThis book is for intermediate level developers in NLP with a reasonable knowledge level and understanding of Python.What You Will Learn* Implement string matching algorithms and normalization techniques* Implement statistical language modeling techniques* Get an insight into developing a stemmer, lemmatizer, morphological analyzer, and morphological generator* Develop a search engine and implement POS tagging concepts and statistical modeling concepts involving the n gram approach* Familiarize yourself with concepts such as the Treebank construct, CFG construction, the CYK Chart Parsing algorithm, and the Earley Chart Parsing algorithm* Develop an NER-based system and understand and apply the concepts of sentiment analysis* Understand and implement the concepts of Information Retrieval and text summarization* Develop a Discourse Analysis System and Anaphora Resolution based systemIn DetailNatural Language Processing is one of the fields of computational linguistics and artificial intelligence that is concerned with human-computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning.This book will give you expertise on how to employ various NLP tasks in Python, giving you an insight into the best practices when designing and building NLP-based applications using Python. It will help you become an expert in no time and assist you in creating your own NLP projects using NLTK.You will sequentially be guided through applying machine learning tools to develop various models. We'll give you clarity on how to create training data and how to implement major NLP applications such as Named Entity Recognition, Question Answering System, Discourse Analysis, Transliteration, Word Sense disambiguation, Information Retrieval, Sentiment Analysis, Text Summarization, and Anaphora Resolution.

Evolutionary Language Understanding

Download Evolutionary Language Understanding PDF Online Free

Author :
Publisher : Bloomsbury Publishing
ISBN 13 : 1474246435
Total Pages : 224 pages
Book Rating : 4.4/5 (742 download)

DOWNLOAD NOW!


Book Synopsis Evolutionary Language Understanding by : Geoffrey Sampson

Download or read book Evolutionary Language Understanding written by Geoffrey Sampson and published by Bloomsbury Publishing. This book was released on 2015-12-17 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book records a unique attempt over a ten-year period to use stochastic optimization in the natural language processing domain. Setting the work against the background of the logical rule-based approach, the author provides a context for understanding the differences in assumptions about the nature of language and cognition.

Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Download Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3319476742
Total Pages : 460 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!


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 2016-10-09 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 15th China National Conference on Computational Linguistics, CCL 2016, and the 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016, held in Yantai City, China, in October 2016. The 29 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 85 submissions. They were organized in topical sections named: semantics; machine translation; multilinguality in NLP; knowledge graph and information extraction; linguistic resource annotation and evaluation; information retrieval and question answering; text classification and summarization; social computing and sentiment analysis; and NLP applications.

English Algorithmic Grammar

Download English Algorithmic Grammar PDF Online Free

Author :
Publisher : A&C Black
ISBN 13 : 1847143350
Total Pages : 265 pages
Book Rating : 4.8/5 (471 download)

DOWNLOAD NOW!


Book Synopsis English Algorithmic Grammar by : Hristo Georgiev

Download or read book English Algorithmic Grammar written by Hristo Georgiev and published by A&C Black. This book was released on 2005-11-21 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ultimate goal of Computational Linguistics is to teach the computer to understand Natural Language. This research monograph presents a description of English according to algorithms which can be programmed into a computer to analyse natural language texts. The algorithmic approach uses series of instructions, written in Natural Language and organised in flow charts, with the aim of analysing certain aspects of the grammar of a sentence. One problem with text processing is the difficulty in distinguishing word forms that belong to parts of speech taken out of context. In order to solve this problem, Hristo Georgiev starts with the assumption that every word is either a verb or a non-verb. From here he presents an algorithm which allows the computer to recognise parts of speech which to a human would be obvious though the meaning of the words. Emphasis for a computer is placed on verbs, nouns, participles and adjectives. English Algorithmic Grammar presents information for computers to recognise tenses, syntax, parsing, reference, and clauses. The final chapters of the book examine the further applications of an algorithmic approach to English grammar, and suggests ways in which the computer can be programmed to recognise meaning. This is an innovative, cutting-edge approach to computational linguistics that will be essential reading for academics researching computational linguistics, machine translation and natural language processing.

Real-World Natural Language Processing

Download Real-World Natural Language Processing PDF Online Free

Author :
Publisher : Simon and Schuster
ISBN 13 : 1638350396
Total Pages : 334 pages
Book Rating : 4.6/5 (383 download)

DOWNLOAD NOW!


Book Synopsis Real-World Natural Language Processing by : Masato Hagiwara

Download or read book Real-World Natural Language Processing written by Masato Hagiwara and published by Simon and Schuster. This book was released on 2021-12-21 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. In Real-world Natural Language Processing you will learn how to: Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots Use advanced NLP concepts such as attention and transfer learning Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In this engaging book, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps, including chatbots, language detectors, and text classifiers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Training computers to interpret and generate speech and text is a monumental challenge, and the payoff for reducing labor and improving human/computer interaction is huge! Th e field of Natural Language Processing (NLP) is advancing rapidly, with countless new tools and practices. This unique book offers an innovative collection of NLP techniques with applications in machine translation, voice assistants, text generation, and more. About the book Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you’ll create many interesting applications including a sentiment analyzer and a chatbot. Along the way, you’ll use Python and open source libraries like AllenNLP and HuggingFace Transformers to speed up your development process. What's inside Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots About the reader For Python programmers. No prior machine learning knowledge assumed. About the author Masato Hagiwara received his computer science PhD from Nagoya University in 2009. He has interned at Google and Microsoft Research, and worked at Duolingo as a Senior Machine Learning Engineer. He now runs his own research and consulting company. Table of Contents PART 1 BASICS 1 Introduction to natural language processing 2 Your first NLP application 3 Word and document embeddings 4 Sentence classification 5 Sequential labeling and language modeling PART 2 ADVANCED MODELS 6 Sequence-to-sequence models 7 Convolutional neural networks 8 Attention and Transformer 9 Transfer learning with pretrained language models PART 3 PUTTING INTO PRODUCTION 10 Best practices in developing NLP applications 11 Deploying and serving NLP applications

Natural Language Processing and Information Systems

Download Natural Language Processing and Information Systems PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3540346171
Total Pages : 234 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!


Book Synopsis Natural Language Processing and Information Systems by : Christian Kop

Download or read book Natural Language Processing and Information Systems written by Christian Kop and published by Springer. This book was released on 2006-07-04 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, held in Klagenfurt, Austria in May/June 2006 as part of UNISCON 2006. The book presents 17 revised full papers and 5 revised short papers, organized in topical sections on concepts extraction and ontology, ontologies and task repository utilization, query processing, information retrieval and dialog processing, and NLP techniques.

Natural Language Processing and Chinese Computing

Download Natural Language Processing and Chinese Computing PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 3031171209
Total Pages : 878 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!


Book Synopsis Natural Language Processing and Chinese Computing by : Wei Lu

Download or read book Natural Language Processing and Chinese Computing written by Wei Lu and published by Springer Nature. This book was released on 2022-09-23 with total page 878 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set of LNAI 13551 and 13552 constitutes the refereed proceedings of the 11th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2022, held in Guilin, China, in September 2022. The 62 full papers, 21 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 327 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.

The Oxford Handbook of Computational Linguistics

Download The Oxford Handbook of Computational Linguistics PDF Online Free

Author :
Publisher : Oxford University Press
ISBN 13 : 0191625531
Total Pages : 1312 pages
Book Rating : 4.1/5 (916 download)

DOWNLOAD NOW!


Book Synopsis The Oxford Handbook of Computational Linguistics by : Ruslan Mitkov

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.

Artificial Intelligence Techniques

Download Artificial Intelligence Techniques PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642603599
Total Pages : 156 pages
Book Rating : 4.6/5 (426 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence Techniques by : Alan Bundy

Download or read book Artificial Intelligence Techniques written by Alan Bundy and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of "Artificial Intelligence Techniques: A Comprehensive Cata logue" is to promote interaction between members of the AI community. It does this by announcing the existence of AI techniques, and acting as a pointer into the literature. Thus the AI community has access to a common, extensional definition of the field, which promotes a common terminology, discourages the reinvention of wheels, and acts as a clearing house for ideas and algorithms. I am grateful to the impressive group of AI experts who have contributed the many descriptions of AI techniques which go to make up this Catalogue. They have managed to distill a very wide knowledge of AI into a very compact form. The Catalogue is a reference work providing a quick guide to the AI tech niques available for different tasks. Intentionally, it only provides a brief de scription of each technique, with no extended discussion of its historical origin or how it has been used in particular AI programs.

Artificial Intelligence in Second Language Learning

Download Artificial Intelligence in Second Language Learning PDF Online Free

Author :
Publisher : Multilingual Matters
ISBN 13 : 1788920341
Total Pages : 318 pages
Book Rating : 4.7/5 (889 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence in Second Language Learning by : Marina Dodigovic

Download or read book Artificial Intelligence in Second Language Learning written by Marina Dodigovic and published by Multilingual Matters. This book was released on 2005-10-07 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume argues that adults can learn English as a second language if their typical errors are corrected systematically and in line with their preferred style of learning. The remedy designed for this purpose relies on artificial intelligence. The book describes original research which demonstrates the success of this approach.

Programming in POP-11

Download Programming in POP-11 PDF Online Free

Author :
Publisher : Wiley-Blackwell
ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!


Book Synopsis Programming in POP-11 by : Jonathan Laventhol

Download or read book Programming in POP-11 written by Jonathan Laventhol and published by Wiley-Blackwell. This book was released on 1987 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Natural Language Processing and Chinese Computing

Download Natural Language Processing and Chinese Computing PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3319994956
Total Pages : 501 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!


Book Synopsis Natural Language Processing and Chinese Computing by : Min Zhang

Download or read book Natural Language Processing and Chinese Computing written by Min Zhang and published by Springer. This book was released on 2018-08-13 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set of LNAI 11108 and LNAI 11109 constitutes the refereed proceedings of the 7th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2018, held in Hohhot, China, in August 2018. The 55 full papers and 31 short papers presented were carefully reviewed and selected from 308 submissions. The papers of the first volume are organized in the following topics: conversational Bot/QA/IR; knowledge graph/IE; machine learning for NLP; machine translation; and NLP applications. The papers of the second volume are organized as follows: NLP for social network; NLP fundamentals; text mining; and short papers.

Cognitively Inspired Natural Language Processing

Download Cognitively Inspired Natural Language Processing PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 9811315167
Total Pages : 174 pages
Book Rating : 4.8/5 (113 download)

DOWNLOAD NOW!


Book Synopsis Cognitively Inspired Natural Language Processing by : Abhijit Mishra

Download or read book Cognitively Inspired Natural Language Processing written by Abhijit Mishra and published by Springer. This book was released on 2018-08-01 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing. The authors employ eye-tracking technology to record and analyze shallow cognitive information in the form of gaze patterns of readers/annotators who perform language processing tasks. The insights gained from such measures are subsequently translated into systems that help us (1) assess the actual cognitive load in text annotation, with resulting increase in human text-annotation efficiency, and (2) extract cognitive features that, when added to traditional features, can improve the accuracy of text classifiers. In sum, the authors’ work successfully demonstrates that cognitive information gleaned from human eye-movement data can benefit modern NLP. Currently available Natural Language Processing (NLP) systems are weak AI systems: they seek to capture the functionality of human language processing, without worrying about how this processing is realized in human beings’ hardware. In other words, these systems are oblivious to the actual cognitive processes involved in human language processing. This ignorance, however, is NOT bliss! The accuracy figures of all non-toy NLP systems saturate beyond a certain point, making it abundantly clear that “something different should be done.”

Natural Language Processing and Information Systems

Download Natural Language Processing and Information Systems PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3642138810
Total Pages : 327 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!


Book Synopsis Natural Language Processing and Information Systems by : Christina J Hopfe

Download or read book Natural Language Processing and Information Systems written by Christina J Hopfe and published by Springer. This book was released on 2010-06-20 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: th The 15 International Conference on Applications of Natural Language to Information Systems (NLDB 2010) took place during June 23–25 in Cardiff (UK). Since the first edition in 1995, the NLDB conference has been aiming at bringing together resear- ers, people working in industry and potential users interested in various applications of natural language in the database and information system area. However, in order to reflect the growing importance of accessing information from a diverse collection of sources (Web, Databases, Sensors, Cloud) in an equally wide range of contexts (- cluding mobile and tethered), the theme of the 15th International Conference on - plications of Natural Language to Information Systems 2010 was "Communicating with Anything, Anywhere in Natural Language. " Natural languages and databases are core components in the development of inf- mation systems. Natural language processing (NLP) techniques may substantially enhance most phases of the information system lifecycle, starting with requirement analysis, specification and validation, and going up to conflict resolution, result pr- essing and presentation. Furthermore, natural language-based query languages and user interfaces facilitate the access to information for all and allow for new paradigms in the usage of computerized services. Hot topics such as information retrieval (IR), software engineering applications, hidden Markov models, natural language interfaces and semantic networks and graphs imply a complete fusion of databases, IR and NLP techniques.