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Author: Wendelin Van Draanen
Publisher: Alfred A. Knopf
Published: 2004
Total Pages: 175
ISBN-13: 0375823522
DOWNLOAD EBOOK →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.
Author: Wendelin Van Draanen
Publisher: Yearling
Published: 2008-12-18
Total Pages: 176
ISBN-13: 0307559653
DOWNLOAD EBOOK →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?
Author: Hani Safadi
Publisher: Lulu.com
Published: 2010-04-27
Total Pages: 74
ISBN-13: 0557448093
DOWNLOAD EBOOK →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.
Author: Kanubhai K. Patel
Publisher: Springer Nature
Published: 2021-03-04
Total Pages: 369
ISBN-13: 9811607087
DOWNLOAD EBOOK →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.
Author: Cerstin Mahlow
Publisher: Springer
Published: 2015-09-15
Total Pages: 185
ISBN-13: 3319239805
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 4th International Workshop on Systems and Frameworks for Computational Morphology, SFCM 2015, held in Stuttgart, Germany, in September 2015. The 5 revised full papers and 5 short papers presented were carefully reviewed and selected from 16 submissions. The SFCM Workshops focus on linguistically motivated morphological analysis and generation, computational frameworks for implementing such systems, and linguistic frameworks suitable for computational implementation. SFCM 2015 and the papers presented in this volume aim at broadening the scope to include research on very underresourced languages, interactions between computational morphology and formal, quantitative, and descriptive morphology, as well as applications of computational morphology in the Digital Humanities.
Author: Muskan Garg
Publisher: CRC Press
Published: 2023-11-28
Total Pages: 271
ISBN-13: 1003800483
DOWNLOAD EBOOK →This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining. Features: • Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation • Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data • Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining • Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing • Covers latest datasets for natural language processing and information retrieval for social media like Twitter The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology.
Author: Management Association, Information Resources
Publisher: IGI Global
Published: 2019-01-04
Total Pages: 2194
ISBN-13: 1522576649
DOWNLOAD EBOOK →In a diverse society, the ability to cross communication barriers is critical to the success of any individual personally, professionally, and academically. With the constant acceleration of course programs and technology, educators are continually being challenged to develop and implement creative methods for engaging English-speaking and non-English-speaking learners. Computer-Assisted Language Learning: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines the relationship between language education and technology and the potential for curriculum enhancements through the use of mobile technologies, flipped instruction, and language-learning software. This multi-volume book is geared toward educators, researchers, academics, linguists, and upper-level students seeking relevant research on the improvement of language education through the use of technology.
Author: Jaime Simao Sichman
Publisher: Springer Science & Business Media
Published: 2006-10-06
Total Pages: 656
ISBN-13: 3540454624
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 2nd International Joint Conference of the 10th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2006, and the 18th Brazilian Artificial Intelligence Symposium, SBIA 2006. The book presents 62 revised full papers together with 4 invited lectures. Topical sections include AI in education and intelligent tutoring systems, autonomous agents and multiagent systems, computer vision and pattern recognition, evolutionary computation and artificial life, and more.
Author: Christopher Manning
Publisher: MIT Press
Published: 1999-05-28
Total Pages: 722
ISBN-13: 9780262133609
DOWNLOAD EBOOK →Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
Author: Robert Bembenik
Publisher: Springer
Published: 2013-01-12
Total Pages: 542
ISBN-13: 3642356478
DOWNLOAD EBOOK →This book is a selection of results obtained within two years of research per- formed under SYNAT - a nation-wide scientific project aiming at creating an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland. The selection refers to the research in artificial intelligence, knowledge discovery and data mining, information retrieval and natural language processing, addressing the problems of implementing intelligent tools for building a scientific information platform.This book is a continuation and extension of the ideas presented in “Intelligent Tools for Building a Scientific Information Platform” published as volume 390 in the same series in 2012. It is based on the SYNAT 2012 Workshop held in Warsaw. The papers included in this volume present an overview and insight into information retrieval, repository systems, text processing, ontology-based systems, text mining, multimedia data processing and advanced software engineering.
