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The majority of natural language processing (NLP) is English language processing, and while there is good language technology support for (standard varieties of) English, support for Albanian, Burmese, or Cebuano--and most other languages--remains limited. Being able to bridge this digital divide is important for scientific and democratic reasons but also represents an enormous growth potential. A key challenge for this to happen is learning to align basic meaning-bearing units of different languages. In this book, the authors survey and discuss recent and historical work on supervised and unsupervised learning of such alignments. Specifically, the book focuses on so-called cross-lingual word embeddings. The survey is intended to be systematic, using consistent notation and putting the available methods on comparable form, making it easy to compare wildly different approaches. In so doing, the authors establish previously unreported relations between these methods and are able to present a fast-growing literature in a very compact way. Furthermore, the authors discuss how best to evaluate cross-lingual word embedding methods and survey the resources available for students and researchers interested in this topic.
Within the current discussion on grammatical interfaces, the word-classes of adjective and adverb are of particular interest because they appear to be separated or joined in manifold ways at the level of word-class or syntax, with morphology playing a prominent role, especially in Romance. The volume provides typological and theoretical insights into the common or different usage of adjectives and adverbs in Romance. Diachronic change is discussed alongside with synchronic variation and the representation in grammar. The discussion turns out to be controversial, calling into question traditional assumptions such as the dogma of the invariability and the categorial status of the adverb.
Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today. After an introduction to dependency grammar and dependency parsing, followed by a formal characterization of the dependency parsing problem, the book surveys the three major classes of parsing models that are in current use: transition-based, graph-based, and grammar-based models. It continues with a chapter on evaluation and one on the comparison of different methods, and it closes with a few words on current trends and future prospects of dependency parsing. The book presupposes a knowledge of basic concepts in linguistics and computer science, as well as some knowledge of parsing methods for constituency-based representations. Table of Contents: Introduction / Dependency Parsing / Transition-Based Parsing / Graph-Based Parsing / Grammar-Based Parsing / Evaluation / Comparison / Final Thoughts
This book lays out a path leading from the linguistic and cognitive basics, to classical rule-based and machine learning algorithms, to today’s state-of-the-art approaches, which use advanced empirically grounded techniques, automatic knowledge acquisition, and refined linguistic modeling to make a real difference in real-world applications. Anaphora and coreference resolution both refer to the process of linking textual phrases (and, consequently, the information attached to them) within as well as across sentence boundaries, and to the same discourse referent. The book offers an overview of recent research advances, focusing on practical, operational approaches and their applications. In part I (Background), it provides a general introduction, which succinctly summarizes the linguistic, cognitive, and computational foundations of anaphora processing and the key classical rule- and machine-learning-based anaphora resolution algorithms. Acknowledging the central importance of shared resources, part II (Resources) covers annotated corpora, formal evaluation, preprocessing technology, and off-the-shelf anaphora resolution systems. Part III (Algorithms) provides a thorough description of state-of-the-art anaphora resolution algorithms, covering enhanced machine learning methods as well as techniques for accomplishing important subtasks such as mention detection and acquisition of relevant knowledge. Part IV (Applications) deals with a selection of important anaphora and coreference resolution applications, discussing particular scenarios in diverse domains and distilling a best-practice model for systematically approaching new application cases. In the concluding part V (Outlook), based on a survey conducted among the contributing authors, the prospects of the research field of anaphora processing are discussed, and promising new areas of interdisciplinary cooperation and emerging application scenarios are identified. Given the book’s design, it can be used both as an accompanying text for advanced lectures in computational linguistics, natural language engineering, and computer science, and as a reference work for research and independent study. It addresses an audience that includes academic researchers, university lecturers, postgraduate students, advanced undergraduate students, industrial researchers, and software engineers.
At Christmas-Hanukkah time, a Christian woodcarver gives a carved angel to a young Jewish friend, who struggles with accepting the Christmas gift until he realizes that friendship means the same thing in any religion.
While many food science programs offer courses in the microbiology and processing of fermented foods, no recently published texts exist that fully address the subject. Food fermentation professionals and researchers also have lacked a single book that covers the latest advances in biotechnology, bioprocessing, and microbial genetics, physiology, and taxonomy. In Microbiology and Technology of Fermented Foods, Robert Hutkins has written the first text on food fermentation microbiology in a generation. This authoritative volume also serves as a comprehensive and contemporary reference book. A brief history and evolution of microbiology and fermented foods, an overview of microorganisms involved in food fermentations, and their physiological and metabolic properties provide a foundation for the reader. How microorganisms are used to produce fermented foods and the development of a modern starter culture industry are also described. Successive chapters are devoted to the major fermented foods produced around the world with coverage including microbiological and technological features for manufacture of these foods: Cultured Dairy Products Cheese Meat Fermentation Fermented Vegetables Bread Fermentation Beer Fermentation Wine Fermentation Vinegar Fermentation Fermentation of Foods in the Orient Examples of industrial processes, key historical events, new discoveries in microbiology, anecdotal materials, case studies, and other key information are highlighted throughout the book. Comprehensively written in a style that encourages critical thinking, Microbiology and Technology of Fermented Foods will appeal to anyone dealing in food fermentation – students, professors, researchers, and industry professionals.
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.