Search query: ngram

Product: Using New Technologies to Enhance Teaching and Learning in History
Description: Nearly all history teachers are interested in how new technology might be used to improve teaching and learning in history. However, not all history departments have had the time, expertise and guidance which would enable them to fully explore the wide range of ways in which ICT might help them to teach their subject more effectively.

This much-needed collection offers practical guidance and examples of the ways in which new technology can enhance pupil engagement in the subject, impact on knowledge retention, get pupils learning outside the history classroom, and help them to work collaboratively using a range of Web 2.0 applications.

The chapters, written by experienced practitioners and experts in the field of history education and ICT, explore topics such as:

how to design web interactivities for your pupils

what can you accomplish with a wiki

how to get going in digital video editing

what to do with the VLE?

making best use of the interactive whiteboard

designing effective pupil webquests

digital storytelling in history

making full use of major history websites

using social media.

Using New Technologies to Enhance Teaching and Learning in History is essential reading for all trainee, newly qualified and experienced teachers of history. It addresses many of the problems, barriers and dangers which new technology can pose, but it also clearly explains and exemplifies the wide range of ways in which ICT can be used to radically improve the quality of pupils’ experience of learning history.
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): S

Product: Syntactic n-grams in Computational Linguistics (SpringerBriefs in Computer Science)
Description: This book is about a new approach in the field of computational linguistics related to the idea of constructing n-grams in non-linear manner, while the traditional approach consists in using the data from the surface structure of texts, i.e., the linear structure.

In this book, we propose and systematize the concept of syntactic n-grams, which allows using syntactic information within the automatic text processing methods related to classification or clustering. It is a very interesting example of application of linguistic information in the automatic (computational) methods. Roughly speaking, the suggestion is to follow syntactic trees and construct n-grams based on paths in these trees. There are several types of non-linear n-grams; future work should determine, which types of n-grams are more useful in which natural language processing (NLP) tasks.

This book is intended for specialists in the field of computational linguistics. However, we made an effort to explain in a clear manner how to use n-grams; we provide a large number of examples, and therefore we believe that the book is also useful for graduate students who already have some previous background in the field.
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): E

Product: Filetype identification using long, summarized N-Grams
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): E

Product: Study on Spring and Autumn Annals analyzed from the perspective of historical records: Analysis by N-gram model and statistics Chinese history set (Shigakusha Scholarly Series) (Japanese Edition)
Description: 中国哲学の根本経典である五経の一つ『春秋』は、魯国の年代記の表記法に対する解釈をその方法論（春秋の筆法）として展開されてきました。では、『春秋』自身を歴史記録として見た場合、どの様な特徴が現れるのか？　本書はこの問題について、N-gram方式による言葉の数値化を元に分析したものです。
分析の方法は、まずN-gram形式でデータを分解・収集し、『春秋』を20年毎のまとまりにわけて、条文の数・文字数・諸侯・外交・軍事といったテーマ別に分けて分析をしました。これによって、『春秋』は魯を中心とした情報の密度の濃淡や、春秋期の画期となった晋覇の影響を大きく受けた事を明らかにしました。
※この書籍は、『中國古代史論叢』一集（立命館東洋史學會　2004 年3 月20 日発行）所収の同名論文を、志学社論文叢書の一冊として電子書籍で単行したものです。論文の体裁・内容については、原則として刊行当時そのままになっております。
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): E

Product: Spreading Activation, Lexical Priming and the Semantic Web: Early Psycholinguistic Theories, Corpus Linguistics and AI Applications
Description: This book explores the interconnections between linguistics and Artificial Intelligence (AI) research, their mutually influential theories and developments, and the areas where these two groups can still learn from each other. It begins with a brief history of artificial intelligence theories focusing on figures including Alan Turing and M. Ross Quillian and the key concepts of priming, spread-activation and the semantic web. The author details the origins of the theory of lexical priming in early AI research and how it can be used to explain structures of language that corpus linguists have uncovered. He explores how the idea of mirroring the mind’s language processing has been adopted to create machines that can be taught to listen and understand human speech in a way that goes beyond a fixed set of commands. In doing so, he reveals how the latest research into the semantic web and Natural Language Processing has developed from its early roots. The book moves on to describe how the technology has evolved with the adoption of inference concepts, probabilistic grammar models, and deep neural networks in order to fine-tune the latest language-processing and translation tools. This engaging book offers thought-provoking insights to corpus linguists, computational linguists and those working in AI and NLP.
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): S

Product: Unity 2018 Artificial Intelligence Cookbook: Over 90 recipes to build and customize AI entities for your games with Unity, 2nd Edition
Description: Explore various recipes to build games using popular artificial intelligence techniques and algorithms such as Navmesh navigation A*, DFS, and UCB1

Key Features

Explore different algorithms for creating decision-making agents that go beyond simple behaviors and movement
Discover the latest features of the NavMesh API for scripting intelligent behaviour in your game characters
Create games that are non-predictable and dynamic and have a high replayability factor

Book Description

Interactive and engaging games come with intelligent enemies, and this intellectual behavior is combined with a variety of techniques collectively referred to as Artificial Intelligence. Exploring Unity's API, or its built-in features, allows limitless possibilities when it comes to creating your game's worlds and characters. This cookbook covers both essential and niche techniques to help you take your AI programming to the next level.

To start with, you’ll quickly run through the essential building blocks of working with an agent, programming movement, and navigation in a game environment, followed by improving your agent's decision-making and coordination mechanisms – all through hands-on examples using easily customizable techniques. You’ll then discover how to emulate the vision and hearing capabilities of your agent for natural and humanlike AI behavior, and later improve the agents with the help of graphs. This book also covers the new navigational mesh with improved AI and pathfinding tools introduced in the Unity 2018 update. You’ll empower your AI with decision-making functions by programming simple board games, such as tic-tac-toe and checkers, and orchestrate agent coordination to get your AIs working together as one.

By the end of this book, you’ll have gained expertise in AI programming and developed creative and interactive games.

What you will learn

Create intelligent pathfinding agents with popular AI techniques such as A* and A*mbush
Implement different algorithms for adding coordination between agents and tactical algorithms for different purposes
Simulate senses so agents can make better decisions, taking account of the environment
Explore different algorithms for creating decision-making agents that go beyond simple behaviors and movement
Create coordination between agents and orchestrate tactics when dealing with a graph or terrain
Implement waypoints by making a manual selector

Who this book is for

The Unity 2018 Artificial Intelligence Cookbook is for you if you are eager to get more tools under your belt to solve AI- and gameplay-related problems. Basic knowledge of Unity and prior knowledge of C# is an advantage.

Table of Contents

Behaviors- Intelligent Movement
Navigation
Decision Making
The new NavMesh API
Coordination and Tactics
Agent Awarness
Board Games and Applied Search AI
Learning Techniques
Procedural Content Generation
Miscellaneous
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): S

Product: A Preliminary Statistical Investigation into the Impace of an N-Gram Analysis Approach Based on World Syntactic Categories Toward Text Author Classification
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): E

Product: Off-line isolated handwritten Thai OCR using island-based projection with n-gram model and hidden Markov models [An article from: Information Processing and Management]
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): E

Product: Backoff hierarchical class n-gram language models: effectiveness to model unseen events in speech recognition [An article from: Computer Speech & Language]
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): E

Product: Dissimilarities Detections in Arabic and English Texts: Using n-grams, Histograms and Self Organizing Maps
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): E

Product: Automatic Biological Term Annotation: Using n-gram and Classification Models
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): E

Product: Constrained Markov Sequence Generation: Applications to Music and Text (Computational Synthesis and Creative Systems)
Brand: Springer
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): I

Product: Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications
Brand: O'Reilly Media
O Reilly Media
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): S

Product: Corpus Linguistics for English Teachers: Tools, Online Resources, and Classroom Activities
Brand: Routledge
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): S

Product: Garner's Modern English Usage
Brand: Oxford University Press
Oxford Univ Pr
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): S

Product: Clinical Research Computing: A Practitioner's Handbook
Brand: Academic Press
Relevance (ESCI, E=Exact S=Substitute C=Complement I=Irrelevant): S