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| Author | : |
| Publisher | : Milliken Publishing Company |
| Total Pages | : 7 |
| Release | : 2009-09-01 |
| Genre | : Education |
| ISBN | : 078773585X |
This collection of ready-to-use, reproducible pencil-to-paper worksheets is ideal for enrichment or for use as reinforcement. Perfect for use at school or as homework, these worksheets will give your students practice identifying various pictures and words.
| Author | : Linda Gutlohn |
| Publisher | : Academic Therapy Publications |
| Total Pages | : 0 |
| Release | : 2014 |
| Genre | : Language arts |
| ISBN | : 9781571288264 |
The texts that secondary students encounter across the disciplines contain a high percentage of multisyllabic words. But many adolescents still struggle with multisyllabic word identification--a skill that (TM)s critical for reading and understanding complex academic texts. Quickly identify students who would benefit from instruction in multisyllabic word identification with Word ID, a collection of 12 discipline-specific formative assessments. For use with students in Grades 6--12, these research-based assessments provide the data teachers need to guide their instructional decisions. Based on the authors (TM) groundbreaking research that analyzed the morphemes in 4,500 content-area words, Word ID assesses students (TM) ability to decode complex words within four specific academic areas: English Language Arts, Math, Science, and Social Studies. For each content area, there are three quick and easy assessments for testing the whole class, identifying students who need further assessment, and pinpointing specific areas of concern. A simple and highly effective way to determine which students need extra help with decoding, Word ID is the first step toward helping students master the multisyllabic word reading they (TM)ll need for college and career. Word ID HELPS YOU: Identify students struggling with word identification--a skill that (TM)s often overlooked at the secondary level Assess students within an RTI or other multi-tiered framework Meet CCSS Reading Standards and College and Career Readiness Standards for Adult Education Easily collect and share assessment information with the Student and Class Profile Forms Make instructional decisions based on solid data (includes tools and resources to aid decision-making) Take important steps toward helping students read and understand complex academic texts
| Author | : Nancy Ide |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 237 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 9401103259 |
Charles F. Goldfarb Saratoga. California If asked for a sure recipe for chaos I would propose a I am delighted that my invention, the Standard project in which several thousand impassioned special Generalized Markup Language, was able to play a ists in scores of disciplines from a dozen or more role in the TEl's magnificent accomplishment, particu countries would be given five years to produce some larly because almost all of the original applications 1300 pages of guidelines for representing the informa of SGML were in the commercial and technological tion models of their specialties in a rigorous, machine realms. It is reasonable, of course, that organiza verifiable notation. Clearly, it would be sociologically tions with massive economic investments in new and and technologically impossible for such a group even changing information should want the benefits of infor to agree on the subject matter of such guidelines, let mation asset preservation and reuse that SGML offers. alone the coding details. But just as clearly as the It is gratifying that the TEl, representing the guardians bumblebee flies despite the laws of aerodynamics, the of humanity's oldest and most truly valuable informa Text Encoding Initiative has actually succeeded in such tion, chose SGML for those same benefits. an effort. The vaunted "information superhighway" would The TEl Guidelines are extraordinary.
| Author | : Fernando Moura Pires |
| Publisher | : Springer |
| Total Pages | : 518 |
| Release | : 2003-11-06 |
| Genre | : Computers |
| ISBN | : 3540245804 |
When we set about organizing EPIA 2003 in Porto during the APPIA meeting at the previous edition of the conference, EPIA 2001, it was decided that it would be organized by Fernando Moura Pires (Fajþ e) and myself. We chose Beja as the venue to host the conference, as it provided a good support infrastructure and Fernando had a good working relationship with several people at the Beja Polytechnic Institute. Shortly thereafter, Fernando came to know that he was ailing from a disease thatwastotakehislifeinMay2003. Aswithmanyotherprojectsinwhichhegot involved, Fernando clung to the organization of this conference with dedication and perseverance, even while knowing that he might not see the results of his work. EPIA 2003 is a tribute to his work. Taking up on the successful experience gained from EPIA 2001, we decided to structure EPIA 2003 as a set of?ve distinct workshops, roughly re?ecting the panorama of AI research in Portugal. Special thanks are due to the organizers of each workshop, for the quality and timeliness of the work they carried out. The conference was all the more interesting because of the eight invited p- sentations and tutorials, by Alexander Bockmayr, Amþ?lcar Cardoso, Dario F- reano, HaroldBoley, PedroDomingos, PieterAdriaans, VeronicaDahlandVitor Santos Costa. There are short one-page abstracts included in these proceedings for some of these presentations.
| Author | : Charu C. Aggarwal |
| Publisher | : Springer Nature |
| Total Pages | : 583 |
| Release | : 2022-05-04 |
| Genre | : Computers |
| ISBN | : 3030966232 |
This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning methods. The chapters of this book span three broad categories:1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection. Compared to the first edition, this second edition textbook (which targets mostly advanced level students majoring in computer science and math) has substantially more material on deep learning and natural language processing. Significant focus is placed on topics like transformers, pre-trained language models, knowledge graphs, and question answering.
| Author | : Massimo Poesio |
| Publisher | : Springer |
| Total Pages | : 509 |
| Release | : 2016-08-04 |
| Genre | : Computers |
| ISBN | : 3662479095 |
This book lays out a path leading from the linguistic and cognitive basics, to classical rule-based and machine learning algorithms, to today’s state-of-the-art approaches, which use advanced empirically grounded techniques, automatic knowledge acquisition, and refined linguistic modeling to make a real difference in real-world applications. Anaphora and coreference resolution both refer to the process of linking textual phrases (and, consequently, the information attached to them) within as well as across sentence boundaries, and to the same discourse referent. The book offers an overview of recent research advances, focusing on practical, operational approaches and their applications. In part I (Background), it provides a general introduction, which succinctly summarizes the linguistic, cognitive, and computational foundations of anaphora processing and the key classical rule- and machine-learning-based anaphora resolution algorithms. Acknowledging the central importance of shared resources, part II (Resources) covers annotated corpora, formal evaluation, preprocessing technology, and off-the-shelf anaphora resolution systems. Part III (Algorithms) provides a thorough description of state-of-the-art anaphora resolution algorithms, covering enhanced machine learning methods as well as techniques for accomplishing important subtasks such as mention detection and acquisition of relevant knowledge. Part IV (Applications) deals with a selection of important anaphora and coreference resolution applications, discussing particular scenarios in diverse domains and distilling a best-practice model for systematically approaching new application cases. In the concluding part V (Outlook), based on a survey conducted among the contributing authors, the prospects of the research field of anaphora processing are discussed, and promising new areas of interdisciplinary cooperation and emerging application scenarios are identified. Given the book’s design, it can be used both as an accompanying text for advanced lectures in computational linguistics, natural language engineering, and computer science, and as a reference work for research and independent study. It addresses an audience that includes academic researchers, university lecturers, postgraduate students, advanced undergraduate students, industrial researchers, and software engineers.
| Author | : Nicola Reggiani |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 391 |
| Release | : 2017-09-11 |
| Genre | : History |
| ISBN | : 3110547600 |
Since the very beginnings of the digital humanities, Papyrology has been in the vanguard of the application of information technologies to its own scientific purposes, for both theoretical and practical reasons (the strong awareness towards the problems of human memory and the material ways of preserving it; the need to work with a multifarious and overwhelming amount of different data). After more than thirty years of development, we have now at our disposal the most advanced tools to make papyrological studies more and more effective, and even to create a new conception of "papyrology" and a new model of "edition" of the ancient documents. At this turining point, it is important to build an epistemological framework including all the different expressions of Digital Papyrology, to trace a historical sketch setting the background of the contemporary tools, and to provide a clear overview of the current theoretical and technological trends, so that all the possibilities currently available can be exploited following uniform pathways. The volume represents an innovative attempt to deal with such topics, usually relegated into very quick and general treatments within journal articles or papyrological handbooks.
| Author | : Anne McGill-Franzen |
| Publisher | : Routledge |
| Total Pages | : 536 |
| Release | : 2010-09-17 |
| Genre | : Education |
| ISBN | : 1136980679 |
Bringing together a wide range of research on reading disabilities, this comprehensive Handbook extends current discussion and thinking beyond a narrowly defined psychometric perspective. Emphasizing that learning to read proficiently is a long-term developmental process involving many interventions of various kinds, all keyed to individual developmental needs, it addresses traditional questions (What is the nature or causes of reading disabilities? How are reading disabilities assessed? How should reading disabilities be remediated? To what extent is remediation possible?) but from multiple or alternative perspectives. Taking incursions into the broader research literature represented by linguistic and anthropological paradigms, as well as psychological and educational research, the volume is on the front line in exploring the relation of reading disability to learning and language, to poverty and prejudice, and to instruction and schooling. The editors and authors are distinguished scholars with extensive research experience and publication records and numerous honors and awards from professional organizations representing the range of disciplines in the field of reading disabilities. Throughout, their contributions are contextualized within the framework of educators struggling to develop concrete instructional practices that meet the learning needs of the lowest achieving readers.
| Author | : Elena Martín-Monje |
| Publisher | : Routledge |
| Total Pages | : 309 |
| Release | : 2016-03-10 |
| Genre | : Education |
| ISBN | : 131731090X |
Technology-Enhanced Language Learning for Specialized Domains provides an exploration of the latest developments in technology-enhanced learning and the processing of languages for specific purposes. It combines theoretical and applied research from an interdisciplinary angle, covering general issues related to learning languages with computers, assessment, mobile-assisted language learning, the new language massive open online courses, corpus-based research and computer-assisted aspects of translation. The chapters in this collection include contributions from a number of international experts in the field with a wide range of experience in the use of technologies to enhance the language learning process. The essays have been brought together precisely in recognition of the demand for this kind of specialised tuition, offering state-of-the-art technological and methodological innovation and practical applications. The topics covered revolve around the practical consequences of the current possibilites of mobility for both learners and teachers, as well as the applicability of updated technological advances to language learning and teaching, particularly in specialized domains. This is achieved through the description and discussion of practical examples of those applications in a variety of educational contexts. At the beginning of each thematic section, readers will find an introductory chapter which contextualises the topic and links the different examples discussed. Drawing together rich primary research and empirical studies related to specialized tuition and the processing of languages, Technology-Enhanced Language Learning for Specialized Domains will be an invaluable resource for academics, researchers and postgraduate students in the fields of education, computer assisted language learning, languages and linguistics, and language teaching.
