The New Langwill Index
Title | The New Langwill Index PDF eBook |
Author | William Waterhouse |
Publisher | T. Bingham |
Pages | 566 |
Release | 1993 |
Genre | Art |
ISBN |
This book is an entirely new work rather than a revision of Lyndsay Langwill's sixth edition. It is the standard work in its field, the most comprehensive work on wind instrument makers in any language and a major reference tool for collectors and researchers. Some features of the New Langwill Index are: Entries for nearly 6500 makers and inventors, active from the beginning until the middle of the 20th century; Nearly 400 representations of maker's marks; An index of makers under workplace, listing over 1000 localities; A comprehensive bibliography of over 600 titles. - Publisher.
An Index of Musical Wind-instrument Makers
Title | An Index of Musical Wind-instrument Makers PDF eBook |
Author | Lyndesay Graham Langwill |
Publisher | Edinburgh : s.n. |
Pages | 240 |
Release | 1962 |
Genre | Wind instrument makers |
ISBN |
Love & Misadventure
Title | Love & Misadventure PDF eBook |
Author | Lang Leav |
Publisher | Andrews McMeel Publishing |
Pages | 90 |
Release | 2013-09-17 |
Genre | Poetry |
ISBN | 1449456464 |
The journey from love to heartbreak to finding love again is personal yet universal. Lang Leav's evocative love poetry speaks to the soul of anyone who is on this journey. Leav has an unnerving ability to see inside the hearts and minds of her readers. Her talent for translating complex emotions with astonishing simplicity has won her a cult following of devoted modern poetry fans from all over the world. Forget the dainty, delicate love poems of yore; these little poems pack a mighty punch. Lang Leav is a poet and internationally exhibiting artist. Her work expresses the intricacies of love and loss. Love & Misadventure is her first poetry collection.
The Recorder
Title | The Recorder PDF eBook |
Author | Richard W. Griscom |
Publisher | Routledge |
Pages | 745 |
Release | 2013-06-17 |
Genre | Art |
ISBN | 1135839328 |
A Choice "Best Academic" book in its first edition, The Recorder remains an essential resource for anyone who wants to know about this instrument. This new edition is thoroughly redone, takes account of the publishing activity of the years since its first publication, and still follows the original organization.
The Bassoon
Title | The Bassoon PDF eBook |
Author | James B. Kopp |
Publisher | Yale University Press |
Pages | 360 |
Release | 2012-01-01 |
Genre | Music |
ISBN | 030018364X |
This welcome volume encompasses the entire history of the bassoon, from its origins five centuries ago to its place in twenty-first-century music. James Kopp draws on new archival research and many years' experience playing the instrument to provide an up-to-date and lively portrait of today's bassoon and its intriguing predecessors. He discusses the bassoon's makers, its players, its repertory, its myths, and its audiences, all in unprecedented detail. The bassoon was invented in Italy in response to the need for a bass-register double-reed woodwind suitable for processionals and marching. Composers were quick to exploit its agility and unique timbre. Later, during the reign of Louis XIV, the instrument underwent a major redesign, giving voice to its tenor register. In the early 1800s new scientific precepts propelled a wave of invention and design modifications. In the twentieth century, the multiplicity of competing bassoon designs narrowed to a German (or Heckel) type and a French type, the latter now nearly extinct. The author examines the acoustical consequences of these various redesigns. He also offers new coverage of the bassoon's social history, including its roles in the military and church and its global use during the European Colonial period. Separate historical chapters devoted to contrabassoons and smaller bassoons complete the volume [Publisher description].
A Dictionary for the Modern Flutist
Title | A Dictionary for the Modern Flutist PDF eBook |
Author | Susan J. Maclagan |
Publisher | Rowman & Littlefield |
Pages | 435 |
Release | 2019-05-15 |
Genre | Music |
ISBN | 1538106663 |
The second edition of Susan J. Maclagan’s A Dictionary for the Modern Flutist presents clear and concise definitions of more than 1,600 common flute-related terms that a player of the Boehm-system or Baroque flute may encounter. Fully illustrated with more than 150 images, the entries describe flute types, flute parts; playing techniques; acoustics; articulations; intonation; common ornaments; flute-making and repairs; flute history; flute music books, and many more topics. Unique to the second edition are entries on beatbox techniques and muscles of the face and throat. Entries now also feature bibliographic cross-references for further research. Carefully labeled illustrations for many flute types, parts, mechanisms, and accessories help make definitions easier to visualize. Appendixes provide further information on such subjects as flute classifications, types of flutes and their parts, key and tone hole names, head joint options, orchestra and opera audition excerpts, and biographies of people mentioned in the definitions. Contributed articles include “An Easy Guide to Checking Your Flute Tuning and Scale” by Trevor Wye; “Flute Clutches” by David Shorey; "Early Music on Modern Flute” by Barthold Kuijken; and “Crowns and Stoppers” and “Boehm Flute Scales from 1847 to the Present:The Short Story” by Gary Lewis. Maclagan’s A Dictionary for the Modern Flutist, second edition is an essential reference volume for flutists of all levels and for libraries supporting student, professional, and amateur musicians.
Getting Started with Natural Language Processing
Title | Getting Started with Natural Language Processing PDF eBook |
Author | Ekaterina Kochmar |
Publisher | Simon and Schuster |
Pages | 454 |
Release | 2022-11-15 |
Genre | Computers |
ISBN | 1638350922 |
Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human. In Getting Started with Natural Language Processing you’ll learn about: Fundamental concepts and algorithms of NLP Useful Python libraries for NLP Building a search algorithm Extracting information from raw text Predicting sentiment of an input text Author profiling Topic labeling Named entity recognition Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you’re a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you. About the technology From smart speakers to customer service chatbots, apps that understand text and speech are everywhere. Natural language processing, or NLP, is the key to this powerful form of human/computer interaction. And a new generation of tools and techniques make it easier than ever to get started with NLP! About the book Getting Started with Natural Language Processing teaches you how to upgrade user-facing applications with text and speech-based features. From the accessible explanations and hands-on examples in this book you’ll learn how to apply NLP to sentiment analysis, user profiling, and much more. As you go, each new project builds on what you’ve previously learned, introducing new concepts and skills. Handy diagrams and intuitive Python code samples make it easy to get started—even if you have no background in machine learning! What's inside Fundamental concepts and algorithms of NLP Extracting information from raw text Useful Python libraries Topic labeling Building a search algorithm About the reader You’ll need basic Python skills. No experience with NLP required. About the author Ekaterina Kochmar is a lecturer at the Department of Computer Science of the University of Bath, where she is part of the AI research group. Table of Contents 1 Introduction 2 Your first NLP example 3 Introduction to information search 4 Information extraction 5 Author profiling as a machine-learning task 6 Linguistic feature engineering for author profiling 7 Your first sentiment analyzer using sentiment lexicons 8 Sentiment analysis with a data-driven approach 9 Topic analysis 10 Topic modeling 11 Named-entity recognition