Steven Bird – författare

This book develops a formal computational theory of writing systems. It offers specific proposals about the linguistic objects that are represented by orthographic elements; what levels of linguistic representation are involved and how they may differ across writing systems; and what formal constraints hold of the mapping relation between linguistic and orthographic elements. Based on the insights gained, Sproat then proposes a taxonomy of writing systems. The treatment of theoretical linguistic issues and their computational implementation is complemented with discussion of empirical psycholinguistic work on reading and its relevance for the computational model developed here. Throughout, the model is illustrated with a number of detailed case studies of writing systems around the world. This book will be of interest to students and researchers in a variety of fields, including theoretical and computational linguistics, the psycholinguistics of reading and writing, and speech technology.

This book is concerned with the machine-based generation of natural language text and presents a formal analysis of problems, which in the main have previously only been approached descriptively. In the process of producing discourse, speakers and writers must decide what it is that they want to say and how to present it effectively. Kathleen McKeown's main concern is to identify and formalise principles of discourse so that they can be used in a computational process. The text generation theory she describes has been embodied in a computer program, TEXT, which, given a question, can produce a paragraph length response. An Appendix to the book provides examples of the TEXT system in operation.

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: * Extract information from unstructured text, either to guess the topic or identify "named entities" * Analyze linguistic structure in text, including parsing and semantic analysis * Access popular linguistic databases, including WordNet and treebanks * Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library.If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you''ll learn how to write Python programs that work with large collections of unstructured text. You''ll access richly annotated datasets using a comprehensive range of linguistic data structures, and you''ll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you:

Extract information from unstructured text, either to guess the topic or identify "named entities"Analyze linguistic structure in text, including parsing and semantic analysisAccess popular linguistic databases, including WordNet and treebanksIntegrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you''re interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you''re simply curious to have a programmer''s perspective on how human language works -- you''ll find Natural Language Processing with Python both fascinating and immensely useful.

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you''ll learn how to write Python programs that work with large collections of unstructured text. You''ll access richly annotated datasets using a comprehensive range of linguistic data structures, and you''ll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you:

Extract information from unstructured text, either to guess the topic or identify "named entities"Analyze linguistic structure in text, including parsing and semantic analysisAccess popular linguistic databases, including WordNet and treebanksIntegrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you''re interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you''re simply curious to have a programmer''s perspective on how human language works -- you''ll find Natural Language Processing with Python both fascinating and immensely useful.

The Drugs Offences Handbook provides a comprehensive, focused and concise analysis of the often complex evidential and litigation issues that relate to drugs cases.The law relating to drugs has the broadest span of any specialist area within crime. Evidentially it includes the forensic examination of drugs themselves and evidence linking individuals to drugs, as well as cell site analysis, interrogation of computers and mobile telephones, police powers of search, and the utilisation of police ‘expert’ witnesses.From a litigation perspective, drugs cases (together with financial crime) make up the vast majority of cases giving rise to money laundering and proceeds of crime issues. In complex supply and importation cases, the financial aspect frequently arises within the evidence as well.Laid out in three broad sections covering Offences, Evidence and Post-conviction, The Drugs Offences Handbook provides expert guidance on key areas such as:- Manufacture and cultivation- Importation- Possession and supply- Police powers of search and seizure- Sentencing and confiscationWith reference to all relevant legislation including the Psychoactive Substances Act 2016, the Drugs Act 2005, the Proceeds of Crime Act 2002 as well as analysis of leading cases such as R v Hussain (Shabbir), R v Green and R v Wright, The Drugs Offences Handbook is an essential resource for criminal law practitioners as well as professionals such as drugs agencies, counselling agencies and expert witnesses.Tim Moloney QC, Tom Stevens, Paul Mason, Abigail Bright and Harriet Johnson are all members of Doughty Street Chambers.Steven Bird is the founder and director of Birds Solicitors.The Criminal Practice Series is a series of practical court-style guides covering a number of discrete, specialist areas. They assist users to identify cases, rules and regulations relevant to the specific topic quickly and easily. For more information please visit www.bloomsburyprofessional.com/criminal

The Drugs Offences Handbook provides a comprehensive, focused and concise analysis of the often complex evidential and litigation issues that relate to drugs cases.The law relating to drugs has the broadest span of any specialist area within crime. Evidentially it includes the forensic examination of drugs themselves and evidence linking individuals to drugs, as well as cell site analysis, interrogation of computers and mobile telephones, police powers of search, and the utilisation of police ''expert'' witnesses.From a litigation perspective, drugs cases (together with financial crime) make up the vast majority of cases giving rise to money laundering and proceeds of crime issues. In complex supply and importation cases, the financial aspect frequently arises within the evidence as well.Laid out in three broad sections covering Offences, Evidence and Post-conviction, The Drugs Offences Handbook provides expert guidance on key areas such as:- Manufacture and cultivation- Importation- Possession and supply- Police powers of search and seizure- Sentencing and confiscationWith reference to all relevant legislation including the Psychoactive Substances Act 2016, the Drugs Act 2005, the Proceeds of Crime Act 2002 as well as analysis of leading cases such as R v Hussain (Shabbir), R v Green and R v Wright, The Drugs Offences Handbook is an essential resource for criminal law practitioners as well as professionals such as drugs agencies, counselling agencies and expert witnesses.Tim Moloney QC, Tom Stevens, Paul Mason, Abigail Bright and Harriet Johnson are all members of Doughty Street Chambers.Steven Bird is the founder and director of Birds Solicitors.The Criminal Practice Series is a series of practical court-style guides covering a number of discrete, specialist areas. They assist users to identify cases, rules and regulations relevant to the specific topic quickly and easily. For more information please visit www.bloomsburyprofessional.com/criminal