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Statistical Machine Translation
The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.
Neural Machine Translation
Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
Syntax-based Statistical Machine Translation
This unique book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies. While phrase-based models have previously dominated the field, syntax-based approaches have proved a popular alternative, as they elegantly solve many of the shortcomings of phrase-based models. The heart of this book is a detailed introduction to decoding for syntax-based models. The book begins with an overview of synchronous-context free grammar (SCFG) and synchronous tree-substitution grammar (STSG) along with their associated statistical models. It also descri...
Forged in Crisis
Presents a portrait of five extraordinary figures--Ernest Shackleton, Abraham Lincoln, Frederick Douglass, Dietrich Bonhoeffer, and Rachel Carson--to illuminate how great leaders are made in times of adversity and the diverse skills they summon in order to prevail.
Choosing Your Religion
Choosing your Religion is a guide to Christian denominations in the U.S. It describes, in concise form, the distinct features, beliefs, practices, and origins of 18 faiths, most of which are fixtures in nearly every American town and city. While these churches are familiar to all, their differences are not commonly understood. An ideal resource for those re-evaluating, or considering church for the first time, the Book of Denominations allows readers to easily acquire the broadest possible view of the Christian religion by examining its many facets, its different denominations. It may also serve current churchgoers looking to learn more about their own faith. The book contains a wealth of information organized for the benefit of the inquiring reader. For each faith group presented, it answers questions such as: What do they believe? How did it start? How many people belong? How do they worship? The book also includes an overview of the Christian religion and a glossary of religious terms.
Learning Machine Translation
How Machine Learning can improve machine translation: enabling technologies and new statistical techniques.
Neural Machine Translation
Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.
Computational Linguistics and Intelligent Text Processing
This book constitutes the refereed proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2007, held in Mexico City, Mexico in February 2007. The 53 revised full papers presented together with 3 invited papers cover all current issues in computational linguistics research and present intelligent text processing applications.
The Ground of Professional Ethics
As each week beings more stories of doctors, lawyers and other professionals abusing their powers, while clients demand extra services as at a time of shrinking resources; it is imperative that all practising professionals have an understanding of professional ethics. In The Ground of Profesional Ethics, Daryl Koehn discusses the practical issues in depth, such as the level of service clients can justifiably expect from professionals, when service to a client may be legitimately terminated and circumstances in which client confidences can be broken. She argues that, while clients may legitimately expect professionals to promote their interests, professionals are not morally bound to do whatever a client wants. The Ground of Professional Ethics is important reading for all practising professionals, as well as those who study or have an interest in the subject of professional ethics.
Multilingual Processing in Eastern and Southern EU Languages
This volume draws attention to many specific challenges of multilingual processing within the European Union, especially after the recent successive enlargement. Most of the languages considered herein are not only ‘less resourced’ in terms of processing tools and training data, but also have features which are different from the well known international language pairs. The 16 contributions address specific problems and solutions for languages from south-eastern and central Europe in the context of multilingual communication, translation and information retrieval.
