Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches defines the role of ANLP within NLP, and alongside other disciplines such as linguistics, computer science, and cognitive science. The description also includes the categorization of current ANLP research, and examples of current research in ANLP. This book is a useful reference for teachers, students, and materials developers in fields spanning linguistics, computer science, and cognitive science.

Covering both theoretical and practical approaches, Writing the Research Paper guides students studying in English as a second or additional language through the skills necessary for success in university-level writing and research. The book begins with theoretical considerations, such as research, argumentation and critical thinking. It then offers a broad range of practical assistance covering all aspects of the writing process, including topic selection, argument, counter-argument, paragraph structure and cohesion. The book is accompanied by a companion website, writingtheresearchpaper.com. The website hosts many features, including chapter summaries, exercises, quizzes, PowerPoints, additional learning material, and technology assistance. The website also hosts numerous authentic examples of student papers at each of the critical stages of the writing process.

The amount of information that humans have gathered and made available to other humans is phenomenal, yet however large this repository of knowledge is, by this time tomorrow, it will be larger still. Applied Natural Language Processing: Identification, Investigation and Resolution is a volume dedicated to the successful application of processing tools to this information. The majority of this knowledge is expressed through textual media, which requires these tools to utilize the research in the field of Applied Natural Language Processing. This book contains state-of-the-art Applied Natural Language Processing techniques as well as their applications. The descriptions and studies are the product of established researchers in fields relating to ANLP, and this work is relevant to teachers, students, and materials developers in fields spanning computer science, linguistics, and cognitive science.

Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Part I of the book focuses on the theoretical perspectives that led to the development of Coh-Metrix, its measures, and empirical work that has been conducted using this approach. Part II shifts to the practical arena, describing how to use Coh-Metrix and how to analyze, interpret, and describe results. Coh-Metrix opens the door to a new paradigm of research that coordinates studies of language, corpus analysis, computational linguistics, education, and cognitive science. This tool empowers anyone with an interest in text to pursue a wide array of previously unanswerable research questions.

Covering both theoretical and practical approaches, Writing the Research Paper guides students studying in English as a second or additional language through the skills necessary for success in university-level writing and research. The book begins with theoretical considerations, such as research, argumentation and critical thinking. It then offers a broad range of practical assistance covering all aspects of the writing process, including topic selection, argument, counter-argument, paragraph structure and cohesion. The book is accompanied by a companion website, writingtheresearchpaper.com. The website hosts many features, including chapter summaries, exercises, quizzes, PowerPoints, additional learning material, and technology assistance. The website also hosts numerous authentic examples of student papers at each of the critical stages of the writing process.

Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Part I of the book focuses on the theoretical perspectives that led to the development of Coh-Metrix, its measures, and empirical work that has been conducted using this approach. Part II shifts to the practical arena, describing how to use Coh-Metrix and how to analyze, interpret, and describe results. Coh-Metrix opens the door to a new paradigm of research that coordinates studies of language, corpus analysis, computational linguistics, education, and cognitive science. This tool empowers anyone with an interest in text to pursue a wide array of previously unanswerable research questions.