Search result "Processing" : 1000 matches.
Speech Processing for IP Networks: Media Resource Control Protocol (MRCP)
Real- Time Systems Design and Analysis
LAPLANTE is Associate Professor of Software Engineering at Penn State University and codirector of the Software Engineering Group. His research interests include real-time and embedded systems, image processing, and artificial intelligence.
He has authored more than 100 papers and nineteen books, and cofounded the journal Real-Time Imaging. He has been building, studying, and teaching real-time systems for more than twenty years.
Dr. Laplante received his BS, Meng, and PhD from Stevens Institute of Technology, as well as an MBA from the University of Colorado.
Deliverable Countries : This product ships to Phillip A Laplante has contributed to Real- Time Systems Design and Analysis as an author. PHILLIP A.
LAPLANTE is Associate Professor of Software Engineering at Penn State University and codirector of the Software Engineering Group. His research interests include real-time and embedded systems, image processing, and artificial intelligence.
He has authored more than 100 papers and nineteen books, and cofounded the journal Real-Time Imaging. He has been building, studying, and teaching real-time systems for more than twenty years.
Dr. Laplante received his BS, Meng, and PhD from Stevens Institute of Technology, as well as an MBA from the University of Colorado.
Deliverable Countries : This product ships to Phillip A Laplante has contributed to Real- Time Systems Design and Analysis as an author. PHILLIP A.
LAPLANTE is Associate Professor of Software Engineering at Penn State University and codirector of the Software Engineering Group. His research interests include real-time and embedded systems, image processing, and artificial intelligence.
He has authored more than 100 papers and nineteen books, and cofounded the journal Real-Time Imaging. He has been building, studying, and teaching real-time systems for more than twenty years.
Dr. Laplante received his BS, Meng, and PhD from Stevens Institute of Technology, as well as an MBA from the University of Colorado.
Deliverable Countries : This product ships to Phillip A Laplante has contributed to Real- Time Systems Design and Analysis as an author. PHILLIP A.
LAPLANTE is Associate Professor of Software Engineering at Penn State University and codirector of the Software Engineering Group. His research interests include real-time and embedded systems, image processing, and artificial intelligence.
He has authored more than 100 papers and nineteen books, and cofounded the journal Real-Time Imaging. He has been building, studying, and teaching real-time systems for more than twenty years.
Dr. Laplante received his BS, Meng, and PhD from Stevens Institute of Technology, as well as an MBA from the University of Colorado.
Deliverable Countries : This product ships to
(less)C+ + GUI Programming With Qt 4, 1/e (Paperback)
Installing Qt Appendix B. Introduction to C++ for Java and C# Programmers Index
(less)Core Java, Volume 2- Advanced Features, 8/e (Paperback)
All sample programs have been carefully crafted to illustrate the latest programming techniques, displaying best-practices solutions to the types of real-world problems professional developers encounter. Volume II includes new sections on the StAX API, JDBC 4, compiler API, scripting framework, splash screen and tray APIs, and many other Java SE 6 enhancements.
Streams and Files XML Networking Database Programming Internationalization Advanced Swing Advanced AWT Javabeans Components Security Distributed Objects Scripting, Compiling, and Annotation Processing Native Methods
(less)C+ + GUI Programming With Qt 4, 1/e
Installing Qt Appendix B. Introduction to C++ for Java and C# Programmers Index Deliverable Countries : This product ships to Average Customer Review: (2 Customer Reviews) | Showing 1- 2 of 2 reviews .
..
Learn GUI programming using Qt4, the powerful cross-platform framework, with the only official Qt book approved by Trolltech. Basic Qt Getting Started Creating Dialogs Creating Main Windows Implementing Application Functionality Creating Custom Widgets Intermediate Qt Layout Management Event Processing 2D and 3D Graphics Drag and Drop Item View Classes Container Classes Input/Output Databases Networking XML Providing Online Help Advanced Qt Internationalization Multithreading Creating Plugins Platform-Specific Features Embedded Programming Appendix A.
Installing Qt Appendix B. Introduction to C++ for Java and C# Programmers Index Deliverable Countries : This product ships to Average Customer Review: (2 Customer Reviews) | Showing 1- 2 of 2 reviews .
..
Learn GUI programming using Qt4, the powerful cross-platform framework, with the only official Qt book approved by Trolltech. Basic Qt Getting Started Creating Dialogs Creating Main Windows Implementing Application Functionality Creating Custom Widgets Intermediate Qt Layout Management Event Processing 2D and 3D Graphics Drag and Drop Item View Classes Container Classes Input/Output Databases Networking XML Providing Online Help Advanced Qt Internationalization Multithreading Creating Plugins Platform-Specific Features Embedded Programming Appendix A.
Installing Qt Appendix B. Introduction to C++ for Java and C# Programmers Index Deliverable Countries : This product ships to Average Customer Review: (2 Customer Reviews) | Showing 1- 2 of 2 reviews .
..
Learn GUI programming using Qt4, the powerful cross-platform framework, with the only official Qt book approved by Trolltech. Basic Qt Getting Started Creating Dialogs Creating Main Windows Implementing Application Functionality Creating Custom Widgets Intermediate Qt Layout Management Event Processing 2D and 3D Graphics Drag and Drop Item View Classes Container Classes Input/Output Databases Networking XML Providing Online Help Advanced Qt Internationalization Multithreading Creating Plugins Platform-Specific Features Embedded Programming Appendix A.
Installing Qt Appendix B. Introduction to C++ for Java and C# Programmers Index Deliverable Countries : This product ships to Average Customer Review: (2 Customer Reviews) | Showing 1- 2 of 2 reviews
(less)ERP: Demystified (Paperback)
Enterprise-An Overview 3. Benefits of ERP 4.
ERP and Related Technologies 5. Business Process Reengineering (BPR) 6.
Data Warehousing 7. Data Mining 8.
On-line Analytical Processing (OLAP) 9. Supply Chain Management Part II: ERP Implementation 10.
To be or not to be . .
. 11.
ERP Implementation Lifecycle 12. Implementation Methodology 13.
Not all Packages are Created Equal! 14. ERP Implementation-The Hidden Costs 15.
Organizing the Implementation 16. Vendors, Consultants and Users 17.
Contracts with Vendors, Consultants and Employees 18. Project Management and Monitoring 19.
After ERP Implementation? Part III: The Business Modules 20. Business Modules in an ERP Package 21.
Finance 22. Manufacturing (Production) 23.
Human Resources 24. Plant Maintenance 25.
Materials Management 26. Quality Management 27.
Sales and Distribution Part IV: The ERP Market 28. ERP Market Place 29.
SAP AG 30. PeopleSoft 31.
Baan Company 32. JD Edwards World Solutions Company 33.
Oracle Corporation 34. QAD 35.
System Software Associates, Inc. (SSA) Part V: ERP-Present and Future 36.
Turbo Charge the ERP System 37. Enterprise Integration Applications (EIA) 38.
ERP and E-Commerce 39. ERP and Internet 40.
Future Directions in ERP 41. Appendices"
(less)C++ GUI Programming with Qt 4
3. The Only Official, Best-Practice Guide to Qt 4.
3 Programming Using Trolltech's Qt you can build industrial-strength C++ applications that run natively on Windows, Linux/Unix, Mac OS X, and embedded Linux without source code changes. Now, two Trolltech insiders have written a start-to-finish guide to getting outstanding results with the latest version of Qt: Qt 4.
3. Packed with realistic examples and in-depth advice, this is the book Trolltech uses to teach Qt to its own new hires.
Extensively revised and expanded, it reveals today's best Qt programming patterns for everything from implementing model/view architecture to using Qt 4.3's improved graphics support.
You'll find proven solutions for virtually every GUI development task, as well as sophisticated techniques for providing database access, integrating XML, using subclassing, composition, and more. Whether you're new to Qt or upgrading from an older version, this book can help you accomplish everything that Qt 4.
3 makes possible. Completely updated throughout, with significant new coverage of databases, XML, and Qtopia embedded programmingCovers all Qt 4.
2/4.3 changes, including Windows Vista support, native CSS support for widget styling, and SVG file generationContains separate 2D and 3D chapters, coverage of Qt 4.
3's new graphics view classes, and an introduction to QPainter's OpenGL back-endIncludes new chapters on look-and-feel customization and application scriptingIllustrates Qt 4's model/view architecture, plugin support, layout management, event processing, container classes, and much morePresents advanced techniques covered in no other book--from creating plugins to interfacing with native APIsIncludes a newappendix on Qt Jambi, the new Java version of Qt Jasmin Blanchette has contributed to C++ GUI Programming with Qt 4 as an author. Jasmin Blanchette is a Trolltech senior software engineer and is writing his M.
Sc. thesis in computer science at the University of Oslo.
Mark Summerfield works as an independent trainer and consultant specializing in C++, Qt, Python, and PyQt, and is the author of "Rapid GUI Programming with Python and Qt," Blanchette and Summerfield coauthored "C++ GUI Programming with Qt 3" and the first edition of "C++ GUI Programming with Qt 4," Deliverable Countries : This product ships to Average Customer Review: (2 Customer Reviews) | Showing 1- 2 of 2 reviews ..
. Using Trolltech's Qt, designers can build industrial-strength C++ applications that run natively on Windows, Linux/Unix, Mac OS X, and embedded Linux without source code changes.
Now, two Trolltech insiders have written a start-to-finish guide to getting outstanding results with the latest version of Qt: Qt 4.3.
The Only Official, Best-Practice Guide to Qt 4.3 Programming Using Trolltech's Qt you can build industrial-strength C++ applications that run natively on Windows, Linux/Unix, Mac OS X, and embedded Linux without source code changes.
Now, two Trolltech insiders have written a start-to-finish guide to getting outstanding results with the latest version of Qt: Qt 4.3.
Packed with realistic examples and in-depth advice, this is the book Trolltech uses to teach Qt to its own new hires. Extensively revised and expanded, it reveals today's best Qt programming patterns for everything from implementing model/view architecture to using Qt 4.
3's improved graphics support. You'll find proven solutions for virtually every GUI development task, as well as sophisticated techniques for providing database access, integrating XML, using subclassing, composition, and more.
Whether you're new to Qt or upgrading from an older version, this book can help you accomplish everything that Qt 4.3 makes possible.
Completely updated throughout, with significant new coverage of databases, XML, and Qtopia embedded programmingCovers all Qt 4.2/4.
3 changes, including Windows Vista support, native CSS support for widget styling, and SVG file generationContains separate 2D and 3D chapters, coverage of Qt 4.3's new graphics view classes, and an introduction to QPainter's OpenGL back-endIncludes new chapters on look-and-feel customization and application scriptingIllustrates Qt 4's model/view architecture, plugin support, layout management, event processing, container classes, and much morePresents advanced techniques covered in no other book--from creating plugins to interfacing with native APIsIncludes a newappendix on Qt Jambi, the new Java version of Qt Jasmin Blanchette has contributed to C++ GUI Programming with Qt 4 as an author.
Jasmin Blanchette is a Trolltech senior software engineer and is writing his M.Sc.
thesis in computer science at the University of Oslo. Mark Summerfield works as an independent trainer and consultant specializing in C++, Qt, Python, and PyQt, and is the author of "Rapid GUI Programming with Python and Qt," Blanchette and Summerfield coauthored "C++ GUI Programming with Qt 3" and the first edition of "C++ GUI Programming with Qt 4," Deliverable Countries : This product ships to Average Customer Review: (2 Customer Reviews) | Showing 1- 2 of 2 reviews .
..
Using Trolltech's Qt, designers can build industrial-strength C++ applications that run natively on Windows, Linux/Unix, Mac OS X, and embedded Linux without source code changes. Now, two Trolltech insiders have written a start-to-finish guide to getting outstanding results with the latest version of Qt: Qt 4.
3. The Only Official, Best-Practice Guide to Qt 4.
3 Programming Using Trolltech's Qt you can build industrial-strength C++ applications that run natively on Windows, Linux/Unix, Mac OS X, and embedded Linux without source code changes. Now, two Trolltech insiders have written a start-to-finish guide to getting outstanding results with the latest version of Qt: Qt 4.
3. Packed with realistic examples and in-depth advice, this is the book Trolltech uses to teach Qt to its own new hires.
Extensively revised and expanded, it reveals today's best Qt programming patterns for everything from implementing model/view architecture to using Qt 4.3's improved graphics support.
You'll find proven solutions for virtually every GUI development task, as well as sophisticated techniques for providing database access, integrating XML, using subclassing, composition, and more. Whether you're new to Qt or upgrading from an older version, this book can help you accomplish everything that Qt 4.
3 makes possible. Completely updated throughout, with significant new coverage of databases, XML, and Qtopia embedded programmingCovers all Qt 4.
2/4.3 changes, including Windows Vista support, native CSS support for widget styling, and SVG file generationContains separate 2D and 3D chapters, coverage of Qt 4.
3's new graphics view classes, and an introduction to QPainter's OpenGL back-endIncludes new chapters on look-and-feel customization and application scriptingIllustrates Qt 4's model/view architecture, plugin support, layout management, event processing, container classes, and much morePresents advanced techniques covered in no other book--from creating plugins to interfacing with native APIsIncludes a newappendix on Qt Jambi, the new Java version of Qt Jasmin Blanchette has contributed to C++ GUI Programming with Qt 4 as an author. Jasmin Blanchette is a Trolltech senior software engineer and is writing his M.
Sc. thesis in computer science at the University of Oslo.
Mark Summerfield works as an independent trainer and consultant specializing in C++, Qt, Python, and PyQt, and is the author of "Rapid GUI Programming with Python and Qt," Blanchette and Summerfield coauthored "C++ GUI Programming with Qt 3" and the first edition of "C++ GUI Programming with Qt 4," Deliverable Countries : This product ships to Average Customer Review: (2 Customer Reviews) | Showing 1- 2 of 2 reviews ..
. Using Trolltech's Qt, designers can build industrial-strength C++ applications that run natively on Windows, Linux/Unix, Mac OS X, and embedded Linux without source code changes.
Now, two Trolltech insiders have written a start-to-finish guide to getting outstanding results with the latest version of Qt: Qt 4.3.
The Only Official, Best-Practice Guide to Qt 4.3 Programming Using Trolltech's Qt you can build industrial-strength C++ applications that run natively on Windows, Linux/Unix, Mac OS X, and embedded Linux without source code changes.
Now, two Trolltech insiders have written a start-to-finish guide to getting outstanding results with the latest version of Qt: Qt 4.3.
Packed with realistic examples and in-depth advice, this is the book Trolltech uses to teach Qt to its own new hires. Extensively revised and expanded, it reveals today's best Qt programming patterns for everything from implementing model/view architecture to using Qt 4.
3's improved graphics support. You'll find proven solutions for virtually every GUI development task, as well as sophisticated techniques for providing database access, integrating XML, using subclassing, composition, and more.
Whether you're new to Qt or upgrading from an older version, this book can help you accomplish everything that Qt 4.3 makes possible.
Completely updated throughout, with significant new coverage of databases, XML, and Qtopia embedded programmingCovers all Qt 4.2/4.
3 changes, including Windows Vista support, native CSS support for widget styling, and SVG file generationContains separate 2D and 3D chapters, coverage of Qt 4.3's new graphics view classes, and an introduction to QPainter's OpenGL back-endIncludes new chapters on look-and-feel customization and application scriptingIllustrates Qt 4's model/view architecture, plugin support, layout management, event processing, container classes, and much morePresents advanced techniques covered in no other book--from creating plugins to interfacing with native APIsIncludes a newappendix on Qt Jambi, the new Java version of Qt Jasmin Blanchette has contributed to C++ GUI Programming with Qt 4 as an author.
Jasmin Blanchette is a Trolltech senior software engineer and is writing his M.Sc.
thesis in computer science at the University of Oslo. Mark Summerfield works as an independent trainer and consultant specializing in C++, Qt, Python, and PyQt, and is the author of "Rapid GUI Programming with Python and Qt," Blanchette and Summerfield coauthored "C++ GUI Programming with Qt 3" and the first edition of "C++ GUI Programming with Qt 4," Deliverable Countries : This product ships to Average Customer Review: (2 Customer Reviews) | Showing 1- 2 of 2 reviews
(less)C++ GUI Programming with Qt 4 (Hardcover)
3. The Only Official, Best-Practice Guide to Qt 4.
3 Programming Using Trolltech's Qt you can build industrial-strength C++ applications that run natively on Windows, Linux/Unix, Mac OS X, and embedded Linux without source code changes. Now, two Trolltech insiders have written a start-to-finish guide to getting outstanding results with the latest version of Qt: Qt 4.
3. Packed with realistic examples and in-depth advice, this is the book Trolltech uses to teach Qt to its own new hires.
Extensively revised and expanded, it reveals today's best Qt programming patterns for everything from implementing model/view architecture to using Qt 4.3's improved graphics support.
You'll find proven solutions for virtually every GUI development task, as well as sophisticated techniques for providing database access, integrating XML, using subclassing, composition, and more. Whether you're new to Qt or upgrading from an older version, this book can help you accomplish everything that Qt 4.
3 makes possible. Completely updated throughout, with significant new coverage of databases, XML, and Qtopia embedded programmingCovers all Qt 4.
2/4.3 changes, including Windows Vista support, native CSS support for widget styling, and SVG file generationContains separate 2D and 3D chapters, coverage of Qt 4.
3's new graphics view classes, and an introduction to QPainter's OpenGL back-endIncludes new chapters on look-and-feel customization and application scriptingIllustrates Qt 4's model/view architecture, plugin support, layout management, event processing, container classes, and much morePresents advanced techniques covered in no other book--from creating plugins to interfacing with native APIsIncludes a newappendix on Qt Jambi, the new Java version of Qt Jasmin Blanchette has contributed to C++ GUI Programming with Qt 4 as an author. Jasmin Blanchette is a Trolltech senior software engineer and is writing his M.
Sc. thesis in computer science at the University of Oslo.
Mark Summerfield works as an independent trainer and consultant specializing in C++, Qt, Python, and PyQt, and is the author of "Rapid GUI Programming with Python and Qt," Blanchette and Summerfield coauthored "C++ GUI Programming with Qt 3" and the first edition of "C++ GUI Programming with Qt 4,"
(less)ERP Demystified (Paperback)
It also provides comprehensive guidance in implementing the ERP system successfully. The revised and updated edition includes the latest developments in the field of ERP, information technology and new technologies that are changing the ERP landscape.
Divided into eight sections, the book covers ERP Basics, ERP and Technology, ERP Implementation, Operation and Maintenance of the ERP system, Business Modules of ERP, ERP Market, Present and Future of ERP, ERP Resources, Case studies, Career guidance, Manufacturing perspective, etc. ERP Demystified is primarily meant for managers and executives who are entrusted with the task of implementing ERP systems in their organizations.
It is a complete and comprehensive resource for organizations planning to implement ERP systems. This book is also suited for post graduate level courses on business administration, management, computer science, and Information Technology.
To enhance the utility of the book a learning guide for students and other teaching aids for instructors are available at http://highered.mcgraw-hill.
com/sites/0070656649 and also on the author?s site at http://www.leon-leon.
com/it/erpdse/Table of Contents: Part I: Introduction 1. Enterprise-An Overview 2.
Introduction to ERP 3. Basic ERP Concepts 4.
Justifying ERP Investments 5. Risks of ERP 6.
Benefits of ERP Part II: ERP and Technology 7. ERP and Related Technologies 8.
Business Intelligence (BI) 9. E-Business and E-Commerce 10.
Business Process Reengineering (BPR) 11. Data Warehousing 12.
Data Mining 13. On-line Analytical Processing (OLAP) 14.
Product Life Cycle Management (PLM) 15. Supply Chain Management (SCM) 16.
Customer Relationship Management (CRM) 17. Advanced Technology and ERP Security Part III: ERP Implementation 18.
To be or not to be? 19. Implementation Challenges 20.
ERP Implementation (Transition) Strategies 21. ERP Implementation Life Cycle 22.
Pre-implementation Tasks?Getting Ready 23. Requirements Definition 24.
Implementation Methodologies 25. Not all package are created equal?Package Selection 26.
ERP Project Teams 27. Process Definition 28.
Vendors and Consultants 29. Dealing with Employee Resistance 30.
Contracts with Vendors, Consultants and Employees 31. Training & Education 32.
Data Migration 33. Project Management & Monitoring 34.
Post Implementation Activities 35. Success & Failure Factors of an ERP Implementation Part IV: ERP in Action 36.
After ERP implementation? 37. Operation and Maintenance of the ERP System 38.
Measuring the Performance of the ERP System 39. Maximizing the ERP System Part V: The Business Modules 40.
Business Modules of an ERP Package 41. Finance 42.
Manufacturing 43. Human Resources 44.
Plant Maintenance 45. Materials Management 46.
Quality Management 47. Marketing 48.
Sales, Distribution & Service Part VI: The ERP Market 49. ERP Marketplace and Marketplace Dynamics 50.
SAP AG 51. PeopleSoft 52.
JD Edwards 53. Oracle Corporation 54.
QAD Inc. 55.
SSA Global 56. Lawson Software 57.
Epicor 58. Intuitive Part VII: ERP?Present and Future 59.
Turbo charge the ERP system 60. Enterprise Application Integration (EAI) 61.
ERP and E-Business 62. ERP, Internet, and WWW?ERP II 63.
ERP and Total Quality Management 64. Future Directions and Trends in ERP
(less)Speech And Language Processing
Speech & Language Processing, 1/e
I. WORDS.
II. SYNTAX.
III. SEMANTICS.
IV. PRAGMATICS.
Deliverable Countries : This product ships to I. WORDS.
II. SYNTAX.
III. SEMANTICS
(less)Natural Language Processing with Python (0 Customer Reviews) 15% List Price: Rs 550 Our Price: Rs 468 You Save: Rs 82 (15%) In Stock. FREE Shipping in India! Order now and get it in 3 business days See Details Delivers to India and Selected Countries. See Details Edition: Paperback Publisher: Shroff Natural Language Processing with Python Book Description This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful. About the Authors Steven Bird is Associate Professor in the Department of Computer Science and Software Engineering at the University of Melbourne, and Senior Research Associate in the Linguistic Data Consortium at the University of Pennsylvania. He completed a PhD on computational phonology at the University of Edinburgh in 1990, supervised by Ewan Klein. He later moved to Cameroon to conduct linguistic fieldwork on the Grassfields Bantu languages under the auspices of the Summer Institute of Linguistics. More recently, he spent several years as Associate Director of the Linguistic Data Consortium where he led an R&D team to create models and tools for large databases of annotated text. At Melbourne University, he established a language technology research group and has taught at all levels of the undergraduate computer science curriculum. In 2009, Steven is President of the Association for Computational Linguistics. Ewan Klein is Professor of Language Technology in the School of Informatics at the University of Edinburgh. He completed a PhD on formal semantics at the University of Cambridge in 1978. After some years working at the Universities of Sussex and Newcastle upon Tyne, Ewan took up a teaching position at Edinburgh. He was involved in the establishment of Edinburgh's Language Technology Group in 1993, and has been closely associated with it ever since. From 2000-2002, he took leave from the University to act as Research Manager for the Edinburgh-based Natural Language Research Group of Edify Corporation, Santa Clara, and was responsible for spoken dialogue processing. Ewan is a past President of the European Chapter of the Association for Computational Linguistics and was a founding member and Coordinator of the European Network of Excellence in Human Language Technologies (ELSNET). Edward Loper has recently completed a PhD on machine learning for natural language processing at the the University of Pennsylvania. Edward was a student in Steven's graduate course on computational linguistics in the fall of 2000, and went on to be a TA and share in the development of NLTK. In addition to NLTK, he has helped develop two packages for documenting and testing Python software, epydoc, and doctest. Publisher: Shroff Author: EAN: 9788184047486 No. of Pages: 522 Deliverable Countries : This product ships to India, Sri Lanka . Related Tags buy Natural Language Processing with Python book Natural Language Processing with Python buy india online Natural Language Processing with Python review Similar Books Natural Language Pro... Steve Bird , Ewan Klein , Edward Loper XML Processing with ... Sean Mc Grath Applied Natural Lang... Steven P Shwartz , Roger Schank Advances in Natural ... Lane A Hemaspaandra , Elisabete Ranchod , Nuno J Mamede Handbook of Natural ... Dale Moisl Summ , Robert Dale Natural Language Pro... Iwanska , Shapiro Isbn X , Typeof Ccollect Undefined If , Durjoy Datta Videocon Mobile Phones Buy Latest Videocon Mobiles at Lowest Price Send Flowers to India Fresh Flowers for all occasions! Same Day Delivery all over India. Digital Cameras Latest Digital Cameras at Lowest Prices! Buy Watches Online Latest Models from all Brands, Free Shipping in India! Newsletter Subscription Enter Your Email Address The book Natural Language Processing with Python by
You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library.
If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful. About the Authors Steven Bird is Associate Professor in the Department of Computer Science and Software Engineering at the University of Melbourne, and Senior Research Associate in the Linguistic Data Consortium at the University of Pennsylvania.
He completed a PhD on computational phonology at the University of Edinburgh in 1990, supervised by Ewan Klein. He later moved to Cameroon to conduct linguistic fieldwork on the Grassfields Bantu languages under the auspices of the Summer Institute of Linguistics.
More recently, he spent several years as Associate Director of the Linguistic Data Consortium where he led an R&D team to create models and tools for large databases of annotated text. At Melbourne University, he established a language technology research group and has taught at all levels of the undergraduate computer science curriculum.
In 2009, Steven is President of the Association for Computational Linguistics. Ewan Klein is Professor of Language Technology in the School of Informatics at the University of Edinburgh.
He completed a PhD on formal semantics at the University of Cambridge in 1978. After some years working at the Universities of Sussex and Newcastle upon Tyne, Ewan took up a teaching position at Edinburgh.
He was involved in the establishment of Edinburgh's Language Technology Group in 1993, and has been closely associated with it ever since. From 2000-2002, he took leave from the University to act as Research Manager for the Edinburgh-based Natural Language Research Group of Edify Corporation, Santa Clara, and was responsible for spoken dialogue processing.
Ewan is a past President of the European Chapter of the Association for Computational Linguistics and was a founding member and Coordinator of the European Network of Excellence in Human Language Technologies (ELSNET). Edward Loper has recently completed a PhD on machine learning for natural language processing at the the University of Pennsylvania.
Edward was a student in Steven's graduate course on computational linguistics in the fall of 2000, and went on to be a TA and share in the development of NLTK. In addition to NLTK, he has helped develop two packages for documenting and testing Python software, epydoc, and doctest.
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text.
You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library.
If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful. About the Authors Steven Bird is Associate Professor in the Department of Computer Science and Software Engineering at the University of Melbourne, and Senior Research Associate in the Linguistic Data Consortium at the University of Pennsylvania.
He completed a PhD on computational phonology at the University of Edinburgh in 1990, supervised by Ewan Klein. He later moved to Cameroon to conduct linguistic fieldwork on the Grassfields Bantu languages under the auspices of the Summer Institute of Linguistics.
More recently, he spent several years as Associate Director of the Linguistic Data Consortium where he led an R&D team to create models and tools for large databases of annotated text. At Melbourne University, he established a language technology research group and has taught at all levels of the undergraduate computer science curriculum.
In 2009, Steven is President of the Association for Computational Linguistics. Ewan Klein is Professor of Language Technology in the School of Informatics at the University of Edinburgh.
He completed a PhD on formal semantics at the University of Cambridge in 1978. After some years working at the Universities of Sussex and Newcastle upon Tyne, Ewan took up a teaching position at Edinburgh.
He was involved in the establishment of Edinburgh's Language Technology Group in 1993, and has been closely associated with it ever since. From 2000-2002, he took leave from the University to act as Research Manager for the Edinburgh-based Natural Language Research Group of Edify Corporation, Santa Clara, and was responsible for spoken dialogue processing.
Ewan is a past President of the European Chapter of the Association for Computational Linguistics and was a founding member and Coordinator of the European Network of Excellence in Human Language Technologies (ELSNET). Edward Loper has recently completed a PhD on machine learning for natural language processing at the the University of Pennsylvania.
Edward was a student in Steven's graduate course on computational linguistics in the fall of 2000, and went on to be a TA and share in the development of NLTK. In addition to NLTK, he has helped develop two packages for documenting and testing Python software, epydoc, and doctest.
Deliverable Countries : This product ships to This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text.
You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library.
If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful. About the Authors Steven Bird is Associate Professor in the Department of Computer Science and Software Engineering at the University of Melbourne, and Senior Research Associate in the Linguistic Data Consortium at the University of Pennsylvania.
He completed a PhD on computational phonology at the University of Edinburgh in 1990, supervised by Ewan Klein. He later moved to Cameroon to conduct linguistic fieldwork on the Grassfields Bantu languages under the auspices of the Summer Institute of Linguistics.
More recently, he spent several years as Associate Director of the Linguistic Data Consortium where he led an R&D team to create models and tools for large databases of annotated text. At Melbourne University, he established a language technology research group and has taught at all levels of the undergraduate computer science curriculum.
In 2009, Steven is President of the Association for Computational Linguistics. Ewan Klein is Professor of Language Technology in the School of Informatics at the University of Edinburgh.
He completed a PhD on formal semantics at the University of Cambridge in 1978. After some years working at the Universities of Sussex and Newcastle upon Tyne, Ewan took up a teaching position at Edinburgh.
He was involved in the establishment of Edinburgh's Language Technology Group in 1993, and has been closely associated with it ever since. From 2000-2002, he took leave from the University to act as Research Manager for the Edinburgh-based Natural Language Research Group of Edify Corporation, Santa Clara, and was responsible for spoken dialogue processing.
Ewan is a past President of the European Chapter of the Association for Computational Linguistics and was a founding member and Coordinator of the European Network of Excellence in Human Language Technologies (ELSNET). Edward Loper has recently completed a PhD on machine learning for natural language processing at the the University of Pennsylvania.
Edward was a student in Steven's graduate course on computational linguistics in the fall of 2000, and went on to be a TA and share in the development of NLTK. In addition to NLTK, he has helped develop two packages for documenting and testing Python software, epydoc, and doctest.
Deliverable Countries : This product ships to This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text.
You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library.
If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful. About the Authors Steven Bird is Associate Professor in the Department of Computer Science and Software Engineering at the University of Melbourne, and Senior Research Associate in the Linguistic Data Consortium at the University of Pennsylvania.
He completed a PhD on computational phonology at the University of Edinburgh in 1990, supervised by Ewan Klein. He later moved to Cameroon to conduct linguistic fieldwork on the Grassfields Bantu languages under the auspices of the Summer Institute of Linguistics.
More recently, he spent several years as Associate Director of the Linguistic Data Consortium where he led an R&D team to create models and tools for large databases of annotated text. At Melbourne University, he established a language technology research group and has taught at all levels of the undergraduate computer science curriculum.
In 2009, Steven is President of the Association for Computational Linguistics. Ewan Klein is Professor of Language Technology in the School of Informatics at the University of Edinburgh.
He completed a PhD on formal semantics at the University of Cambridge in 1978. After some years working at the Universities of Sussex and Newcastle upon Tyne, Ewan took up a teaching position at Edinburgh.
He was involved in the establishment of Edinburgh's Language Technology Group in 1993, and has been closely associated with it ever since. From 2000-2002, he took leave from the University to act as Research Manager for the Edinburgh-based Natural Language Research Group of Edify Corporation, Santa Clara, and was responsible for spoken dialogue processing.
Ewan is a past President of the European Chapter of the Association for Computational Linguistics and was a founding member and Coordinator of the European Network of Excellence in Human Language Technologies (ELSNET). Edward Loper has recently completed a PhD on machine learning for natural language processing at the the University of Pennsylvania.
Edward was a student in Steven's graduate course on computational linguistics in the fall of 2000, and went on to be a TA and share in the development of NLTK. In addition to NLTK, he has helped develop two packages for documenting and testing Python software, epydoc, and doctest.
Deliverable Countries : This product ships to
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