Attack of the Tagger

Attack of the Tagger PDF Author: Wendelin Van Draanen
Publisher: Alfred A. Knopf
ISBN: 0375823522
Category : Juvenile Fiction
Languages : en
Pages : 175

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Book Description
Someone is spray-painting graffiti all over Cedar Valley and it is up to fifth-grader Nolan Byrd, also known as Shredderman, to expose the vandal.

Attack of the Tagger

Attack of the Tagger PDF Author: Wendelin Van Draanen
Publisher: Alfred A. Knopf
ISBN: 0375823522
Category : Juvenile Fiction
Languages : en
Pages : 175

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Book Description
Someone is spray-painting graffiti all over Cedar Valley and it is up to fifth-grader Nolan Byrd, also known as Shredderman, to expose the vandal.

Shredderman: Attack of the Tagger

Shredderman: Attack of the Tagger PDF Author: Wendelin Van Draanen
Publisher: Yearling
ISBN: 0307559653
Category : Juvenile Fiction
Languages : en
Pages : 176

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Book Description
Nolan Byrd single-handedly saved his school from the bullydom of Alvin “Bubba” Bixby. He posted proof of Bubba’s exploits on the Web at Shredderman.com. Now Shredderman is the school hero! But since Shredderman’s identity is a secret, everyone still treats Nolan like . . . a nerd. But inside this nerd beats a superhero’s heart—one dedicated to truth and justice. So when a vandal spray-paints graffiti around town—and even on his teacher’s van!—Nolan decides that tracking down the tagger is a job for Shredderman. But while he’s trying to trap the tagger, the tagger is trying to pin the blame on Shredderman! Can Nolan turn the tables back around before his secret identity is revealed?

Crosslingual Implementation of Linguistic Taggers Using Parallel Corpora

Crosslingual Implementation of Linguistic Taggers Using Parallel Corpora PDF Author: Hani Safadi
Publisher: Lulu.com
ISBN: 0557448093
Category : Computers
Languages : en
Pages : 74

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Book Description
This book addresses the problem of creating linguistic taggers for resource-poor languages using existing taggers in resource rich languages. Linguistic taggers are classifiers that map individual words or phrases from a sentence to a set of tags. Linguistic taggers are usually trained using supervised learning algorithms.The proposed approach does not require that the input sentence be translated into the source language. Instead, projection of linguistic tags is accomplished through the use of a parallel corpus, which is a collection of texts that are available in a source language and a target language. The correspondence between words of the source and target language allows to project tags from source to target language words.A parallel corpus of the source and target languages might not be readily available for many language pairs. To deal with this problem, we describe a system for automatic acquisition of aligned, bilingual corpora from pre-specified domains on the World Wide Web.

Text, Speech and Dialogue

Text, Speech and Dialogue PDF Author: Petr Sojka
Publisher: Springer
ISBN: 354039091X
Category : Computers
Languages : en
Pages : 718

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Book Description
Here are the refereed proceedings of the 9th International Conference on Text, Speech and Dialogue, TSD 2006. The book presents 87 revised full papers together with 2 invited papers reviewing state-of-the-art research in the field of natural language processing. Coverage ranges from theoretical and methodological issues to applications with special focus on corpora, texts and transcription, speech analysis, recognition and synthesis, as well as their intertwining within NL dialogue systems.

Ainslee's

Ainslee's PDF Author:
Publisher:
ISBN:
Category : Popular literature
Languages : en
Pages : 1068

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Book Description


English Corpus Linguistics

English Corpus Linguistics PDF Author: Charles F. Meyer
Publisher: Cambridge University Press
ISBN: 1009365428
Category : Language Arts & Disciplines
Languages : en
Pages : 211

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Book Description
Corpus linguistics is a research method which draws on authentic language examples, collected and organized into 'corpora', or searchable 'bodies' of data. The method was established in the 1960s, and has rapidly developed since then. Now in its second edition, this book provides a step-by-step guide on how to create and analyze linguistic corpora. It has been extensively updated to reflect the most recent developments in this ever-evolving field, and now covers the empirical foundation of corpus-based research, new methodological considerations that guide the creation of a corpus, new kinds of research that can be conducted on corpora, and the most up-to-date information on how qualitative and quantitative analyses of corpora are conducted. Theoretical approaches are introduced in an accessible, easy-to-read way, and the book is illustrated with a wide range of different linguistic corpora, making it essential reading for researchers and students in a number of subfields of linguistics.

Soft Computing and its Engineering Applications

Soft Computing and its Engineering Applications PDF Author: Kanubhai K. Patel
Publisher: Springer Nature
ISBN: 9811607087
Category : Computers
Languages : en
Pages : 369

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Book Description
This book constitutes the refereed proceedings of the Second International Conference on Soft Computing and its Engineering Applications, icSoftComp 2020, held in Changa, India, in December 2020. Due to the COVID-19 pandemic the conference was held online. The 24 full papers and 4 short papers presented were carefully reviewed and selected from 252 submissions. The papers present recent research on theory and applications in fuzzy computing, neuro computing, and evolutionary computing.

Overcoming Challenges in Corpus Construction

Overcoming Challenges in Corpus Construction PDF Author: Robbie Love
Publisher: Routledge
ISBN: 0429771096
Category : Language Arts & Disciplines
Languages : en
Pages : 176

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Book Description
This volume offers a critical examination of the construction of the Spoken British National Corpus 2014 (Spoken BNC2014) and points the way forward toward a more informed understanding of corpus linguistic methodology more broadly. The book begins by situating the creation of this second corpus, a compilation of new, publicly-accessible Spoken British English from the 2010s, within the context of the first, created in 1994, talking through the need to balance backward capability and optimal practice for today’s users. Chapters subsequently use the Spoken BNC2014 as a focal point around which to discuss the various considerations taken into account in corpus construction, including design, data collection, transcription, and annotation. The volume concludes by reflecting on the successes and limitations of the project, as well as the broader utility of the corpus in linguistic research, both in current examples and future possibilities. This exciting new contribution to the literature on linguistic methodology is a valuable resource for students and researchers in corpus linguistics, applied linguistics, and English language teaching.

Artificial Intelligence And Data Analytics

Artificial Intelligence And Data Analytics PDF Author: Dr. A. Vijayalakshmi
Publisher: Academic Guru Publishing House
ISBN: 8119843711
Category : Study Aids
Languages : en
Pages : 250

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Book Description
"Artificial Intelligence and Data Analytics" is an essential manual that clarifies the intricate yet enthralling domains of AI and Data Analytics, providing readers with an all-encompassing examination of the revolutionary potential that these technologies possess in the present-day environment. An indispensable resource for professionals, academicians, and enthusiasts desiring a profound comprehension of the interrelationships among artificial intelligence and data analytics, this book has been painstakingly crafted. The book commences with a meticulously organized structure that establishes a strong groundwork, exploring the fundamental principles of data analytics, machine learning, and artificial intelligence. The narrative proceeds with case studies and real-world applications that shed light on the pragmatic ramifications of these technologies in various sectors, including healthcare, finance, and e-commerce. This book is distinguished by its nuanced treatment of ethical considerations, which addresses the conscientious and responsible application of artificial intelligence and data-driven insights. By delving into sophisticated algorithms and addressing the complexities of big data, the book provides readers with a comprehensive understanding of these ever-evolving domains through the application of both theoretical and practical expertise. Irrespective of one's level of expertise, "Artificial Intelligence and Data Analytics" provides an engaging exploration of the latest advancements and prospective prospects, assisting individuals in maximizing the capabilities of AI and Data Analytics within their specific fields.

Natural Language Processing Using Very Large Corpora

Natural Language Processing Using Very Large Corpora PDF Author: S. Armstrong
Publisher: Springer Science & Business Media
ISBN: 9401723907
Category : Language Arts & Disciplines
Languages : en
Pages : 314

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Book Description
ABOUT THIS BOOK This book is intended for researchers who want to keep abreast of cur rent developments in corpus-based natural language processing. It is not meant as an introduction to this field; for readers who need one, several entry-level texts are available, including those of (Church and Mercer, 1993; Charniak, 1993; Jelinek, 1997). This book captures the essence of a series of highly successful work shops held in the last few years. The response in 1993 to the initial Workshop on Very Large Corpora (Columbus, Ohio) was so enthusias tic that we were encouraged to make it an annual event. The following year, we staged the Second Workshop on Very Large Corpora in Ky oto. As a way of managing these annual workshops, we then decided to register a special interest group called SIGDAT with the Association for Computational Linguistics. The demand for international forums on corpus-based NLP has been expanding so rapidly that in 1995 SIGDAT was led to organize not only the Third Workshop on Very Large Corpora (Cambridge, Mass. ) but also a complementary workshop entitled From Texts to Tags (Dublin). Obviously, the success of these workshops was in some measure a re flection of the growing popularity of corpus-based methods in the NLP community. But first and foremost, it was due to the fact that the work shops attracted so many high-quality papers.