Pre-Owned Synthesis Lectures on Human Language Technologies: Introduction to Chinese Natural Language Processing Paperback from other stores

  • This book introduces Chinese language-processing issues and techniques to read... This book introduces Chinese language-processing issues and techniques to readers who already have a basic background in natural language processing (NLP). Since the major difference between Chinese and Western languages is at the word level the... more
  • Neural networks are a family of powerful machine learning models and this book... Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward... more
  • This book presents a taxonomy framework and survey of methods relevant to expl... This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing (NLP) models. The book is intended to provide a snapshot of Explainable NLP though the... more
  • This book introduces Chinese language-processing issues and techniques to read... This book introduces Chinese language-processing issues and techniques to readers who already have a basic background in natural language processing (NLP). Since the major difference between Chinese and Western languages is at the word level the... more
  • This book provides system developers and researchers in natural language proce... This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena... more
  • Data-driven experimental analysis has become the main evaluation tool of Natur... Data-driven experimental analysis has become the main evaluation tool of Natural Language Processing (NLP) algorithms. In fact in the last decade it has become rare to see an NLP paper particularly one that proposes a new algorithm that does not... more
  • Meaning is a fundamental concept in Natural Language Processing (NLP) in the t... Meaning is a fundamental concept in Natural Language Processing (NLP) in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG). This is because the aims of these fields are to build systems that understand what... more
  • Embeddings have undoubtedly been one of the most influential research areas in... Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation which is easily integrable in modern machine learning models has... more
  • Many NLP tasks have at their core a subtask of extracting the dependencies--wh... Many NLP tasks have at their core a subtask of extracting the dependencies--who did what to whom--from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages namely... more
  • This book addresses the emergence of Interactive Natural Language Processing (... This book addresses the emergence of Interactive Natural Language Processing (iNLP) and its novel paradigm within the field of NLP and discusses the limitations in existing frameworks while aligning with the ultimate goals of artificial... more
  • In recent years online social networking has revolutionized interpersonal comm... In recent years online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter s impact on our daily lives both on a personal and a... more
  • Natural language processing (NLP) went through a profound transformation in th... Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language. Since then the use of statistical techniques in NLP has evolved in... more
  • More and more historical texts are becoming available in digital form. Digitiz... More and more historical texts are becoming available in digital form. Digitization of paper documents is motivated by the aim of preserving cultural heritage and making it more accessible both to laypeople and scholars. As digital images cannot be... more
  • This book presents a taxonomy framework and survey of methods relevant to expl... This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing (NLP) models. The book is intended to provide a snapshot of Explainable NLP though the... more
  • This book introduces basic supervised learning algorithms applicable to natura... This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled... more
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