Machine Translation and Global Research: Towards Improved Machine Translation Literacy in the Scholarly Community, Jairo Buitrago CIro, Lynne Bowker
Автор: Joseph Olive, Caitlin Christianson, John McCary Название: Handbook of Natural Language Processing and Machine Translation ISBN: 1441977120 ISBN-13(EAN): 9781441977120 Издательство: Springer Рейтинг: Цена: 232910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program--The Global Autonomous Language Exploitation within the Defense Advanced Research Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation.The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research programs, each of the individual processes was performed separately and sequentially: speech recognition, language recognition, transcription, translation, and content summarization. The GALE program employed a distinctly new approach by executing these processes simultaneously. Speech and language recognition algorithms now aid translation and transcription processes and vice versa. This combination of previously distinct processes has produced significant research and performance breakthroughs and has fundamentally changed the natural language processing and machine translation fields.This comprehensive handbook provides an exhaustive exploration into these latest technologies in natural language, speech and signal processing, and machine translation, providing researchers, practitioners and students with an authoritative reference on the topic.
Автор: Oswald Campesato Название: Natural Language Processing Fundamentals for Developersbility of Aircraft Gas Turbine Combustors ISBN: 1683926579 ISBN-13(EAN): 9781683926573 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 55440.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A book for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics.
Автор: Sogaard Anders, Vulic Ivan, Ruder Sebastian Название: Cross-Lingual Word Embeddings ISBN: 1681730634 ISBN-13(EAN): 9781681730639 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 61910.00 T Наличие на складе: Невозможна поставка. Описание:
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.
Автор: Ferreira Anderson A., Gonзalves Marcos Andrй, Laender Alberto H. F. Название: Automatic Disambiguation of Author Names in Bibliographic Repositories ISBN: 1681738570 ISBN-13(EAN): 9781681738574 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 48050.00 T Наличие на складе: Нет в наличии. Описание: This book deals with a hard problem that is inherent to human language: ambiguity.
In particular, we focus on author name ambiguity, a type of ambiguity that exists in digital bibliographic repositories, which occurs when an author publishes works under distinct names or distinct authors publish works under similar names. This problem may be caused by a number of reasons, including the lack of standards and common practices, and the decentralized generation of bibliographic content. As a consequence, the quality of the main services of digital bibliographic repositories such as search, browsing, and recommendation may be severely affected by author name ambiguity. The focal point of the book is on automatic methods, since manual solutions do not scale to the size of the current repositories or the speed in which they are updated. Accordingly, we provide an ample view on the problem of automatic disambiguation of author names, summarizing the results of more than a decade of research on this topic conducted by our group, which were reported in more than a dozen publications that received over 900 citations so far, according to Google Scholar. We start by discussing its motivational issues (Chapter 1). Next, we formally define the author name disambiguation task (Chapter 2) and use this formalization to provide a brief, taxonomically organized, overview of the literature on the topic (Chapter 3). We then organize, summarize and integrate the efforts of our own group on developing solutions for the problem that have historically produced state-of-the-art (by the time of their proposals) results in terms of the quality of the disambiguation results. Thus, Chapter 4 covers HHC - Heuristic-based Clustering, an author name disambiguation method that is based on two specific real-world assumptions regarding scientific authorship. Then, Chapter 5 describes SAND - Self-training Author Name Disambiguator and Chapter 6 presents two incremental author name disambiguation methods, namely INDi - Incremental Unsupervised Name Disambiguation and INC- Incremental Nearest Cluster. Finally, Chapter 7 provides an overview of recent author name disambiguation methods that address new specific approaches such as graph-based representations, alternative predefined similarity functions, visualization facilities and approaches based on artificial neural networks. The chapters are followed by three appendices that cover, respectively: (i) a pattern matching function for comparing proper names and used by some of the methods addressed in this book; (ii) a tool for generating synthetic collections of citation records for distinct experimental tasks; and (iii) a number of datasets commonly used to evaluate author name disambiguation methods. In summary, the book organizes a large body of knowledge and work in the area of author name disambiguation in the last decade, hoping to consolidate a solid basis for future developments in the field.
Автор: Vivi Nastase, Preslav Nakov, Diarmuid O. Seaghdha, Stan Szpakowicz Название: Semantic Relations Between Nominals ISBN: 1608459799 ISBN-13(EAN): 9781608459797 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 41580.00 T Наличие на складе: Невозможна поставка. Описание: Discusses the recognition in text of semantic relations which capture interactions between base noun phrases. After a brief historical background, this text introduces a range of relation inventories of varying granularity, which have been proposed by computational linguists.
Автор: Shah Chirag, White Ryen W. Название: Task Intelligence for Search and Recommendation ISBN: 1636391494 ISBN-13(EAN): 9781636391496 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 63750.00 T Наличие на складе: Нет в наличии. Описание: While great strides have been made in the field of search and recommendation, there are still challenges and opportunities to address information access issues that involve solving tasks and accomplishing goals for a wide variety of users. Specifically, we lack intelligent systems that can detect not only the request an individual is making (what), but also understand and utilize the intention (why) and strategies (how) while providing information and enabling task completion. Many scholars in the fields of information retrieval, recommender systems, productivity (especially in task management and time management), and artificial intelligence have recognized the importance of extracting and understanding people's tasks and the intentions behind performing those tasks in order to serve them better. However, we are still struggling to support them in task completion, e.g., in search and assistance, and it has been challenging to move beyond single-query or single-turn interactions. The proliferation of intelligent agents has unlocked new modalities for interacting with information, but these agents will need to be able to work understanding current and future contexts and assist users at task level. This book will focus on task intelligence in the context of search and recommendation. Chapter 1 introduces readers to the issues of detecting, understanding, and using task and task-related information in an information episode (with or without active searching). This is followed by presenting several prominent ideas and frameworks about how tasks are conceptualized and represented in Chapter 2. In Chapter 3, the narrative moves to showing how task type relates to user behaviors and search intentions. A task can be explicitly expressed in some cases, such as in a to-do application, but often it is unexpressed. Chapter 4 covers these two scenarios with several related works and case studies. Chapter 5 shows how task knowledge and task models can contribute to addressing emerging retrieval and recommendation problems. Chapter 6 covers evaluation methodologies and metrics for task-based systems, with relevant case studies to demonstrate their uses. Finally, the book concludes in Chapter 7, with ideas for future directions in this important research area.
Автор: Philip Williams, Michael Gertz, Matt Post, Philipp Koehn Название: Syntax-based Statistical Machine Translation ISBN: 1627059008 ISBN-13(EAN): 9781627059008 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 72070.00 T Наличие на складе: Невозможна поставка. Описание: 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. The heart of this book is a detailed introduction to decoding for syntax-based models.
Автор: Nayyar Anand, Kumar Sandeep, Agrawal Akshat Название: Applications of Computational Science in Artificial Intelligence ISBN: 1799890139 ISBN-13(EAN): 9781799890133 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 206050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Delivers technological solutions to improve smart technologies architecture, healthcare, and environmental sustainability. The book also provides background on key aspects such as computational solutions, computation framework, smart prediction, and healthcare solutions.
Автор: Riezler Stefan, Hagmann Michael Название: Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science ISBN: 1636392717 ISBN-13(EAN): 9781636392714 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 74850.00 T Наличие на складе: Нет в наличии. Описание: Addresses methodological questions that include the problems of validity, reliability, and significance. In the case of machine learning, these correspond to whether a model predicts what it purports to predict, whether its performance is consistent across replications, and whether a performance difference between two models is due to chance.
Автор: Horacio Saggion Название: Automatic Text Simplification ISBN: 1627058680 ISBN-13(EAN): 9781627058681 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 51750.00 T Наличие на складе: Невозможна поставка. Описание: Presents research in text simplification, exploring key issues, including automatic readability assessment, lexical simplification, and syntactic simplification. It provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development.
Название: Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines ISBN: 1668463032 ISBN-13(EAN): 9781668463031 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 2234230.00 T Наличие на складе: Нет в наличии. Описание: Discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry. The book also presents emerging technologies and developments within the field of sentiment analysis and opinion mining.
Автор: Bhattacharyya Siddhartha, Das Nibaran, Bhattacharjee Debotosh Название: Handbook of Research on Recent Developments in Intelligent Communication Application ISBN: 1522517855 ISBN-13(EAN): 9781522517856 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 349270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The communication field is evolving rapidly in order to keep up with society’s demands. As such, it becomes imperative to research and report recent advancements in computational intelligence as it applies to communication networks.The Handbook of Research on Recent Developments in Intelligent Communication Application is a pivotal reference source for the latest developments on emerging data communication applications. Featuring extensive coverage across a range of relevant perspectives and topics, such as satellite communication, cognitive radio networks, and wireless sensor networks, this book is ideally designed for engineers, professionals, practitioners, upper-level students, and academics seeking current information on emerging communication networking trends.
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