Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax, Emily M. Bender

Автор: Manning, Christopher D. Schutze, Hinrich
Название: Foundations of statistical natural language processing
ISBN: 0262133601 ISBN-13(EAN): 9780262133609
Издательство: MIT Press
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Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

Автор: Abhijit Mishra, Pushpak Bhattacharyya
Название: Cognitively Inspired Natural Language Processing
ISBN: 9811315159 ISBN-13(EAN): 9789811315152
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing.

Автор: Robert M. Losee
Название: Predicting Information Retrieval Performance
ISBN: 1681734745 ISBN-13(EAN): 9781681734743
Издательство: Mare Nostrum (Eurospan)
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Цена: 61910.00 T
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Описание: Within the constraints of alien control or influence, it is argued, cultural and organisational barriers have consistently allowed a wide range of initiative to African leaders and communities in a creative and flexible adjustment to new and unfamiliar demands. Exploration of this African initiative in various contexts suggests a complex, fascinating pattern of cultural and structural interaction.

Автор: Lucia Specia, Carolina Scarton, Gustavo Henrique Paetzold
Название: Quality Estimation for Machine Translation
ISBN: 1681733757 ISBN-13(EAN): 9781681733753
Издательство: Mare Nostrum (Eurospan)
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Описание: Many applications within natural language processing involve performing text-to-text transformations, i.e., given a text in natural language as input, systems are required to produce a version of this text (e.g., a translation), also in natural language, as output. Automatically evaluating the output of such systems is an important component in developing text-to-text applications. Two approaches have been proposed for this problem: (i) to compare the system outputs against one or more reference outputs using string matching-based evaluation metrics and (ii) to build models based on human feedback to predict the quality of system outputs without reference texts. Despite their popularity, reference-based evaluation metrics are faced with the challenge that multiple good (and bad) quality outputs can be produced by text-to-text approaches for the same input. This variation is very hard to capture, even with multiple reference texts. In addition, reference-based metrics cannot be used in production (e.g., online machine translation systems), when systems are expected to produce outputs for any unseen input. In this book, we focus on the second set of metrics, so-called Quality Estimation (QE) metrics, where the goal is to provide an estimate on how good or reliable the texts produced by an application are without access to gold-standard outputs. QE enables different types of evaluation that can target different types of users and applications. Machine learning techniques are used to build QE models with various types of quality labels and explicit features or learnt representations, which can then predict the quality of unseen system outputs. This book describes the topic of QE for text-to-text applications, covering quality labels, features, algorithms, evaluation, uses, and state-of-the-art approaches. It focuses on machine translation as application, since this represents most of the QE work done to date. It also briefly describes QE for several other applications, including text simplification, text summarization, grammatical error correction, and natural language generation.

Автор: Ming Zhou; Guodong Zhou; Dongyan Zhao; Qun Liu; Le
Название: Natural Language Processing and Chinese Computing
ISBN: 3642344550 ISBN-13(EAN): 9783642344558
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the First CCF Conference, NLPCC 2012, held in Beijing, China, during October/November, 2012. The 43 revised full papers presented were carefully reviewed and selected from 151 submissions. The papers are organized in topical sections on applications on language computing;

Автор: Dimitris N. Christodoulakis
Название: Natural Language Processing - NLP 2000
ISBN: 3540676058 ISBN-13(EAN): 9783540676058
Издательство: Springer
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Описание: This volume constitutes the refereed proceedings of the Second International Conference on Natural Language Processing, NLP 2000. Topics covered include: tokenization and morphological analysis; lexical knowledge representation; parsing and discourse analysis; and anaphora resolution.

Автор: Miguel Filgueiras; Luis Damas; Nelma Moreira; Ana
Название: Natural Language Processing
ISBN: 3540536787 ISBN-13(EAN): 9783540536789
Издательство: Springer
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Описание: These proceedings of an advanced school in AI have a textbook character. The topics were chosen to provide a balanced overview of the most important ideas in natural language processing today.

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)
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Цена: 72070.00 T
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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: Elisabete Ranchod; Nuno J. Mamede
Название: Advances in Natural Language Processing
ISBN: 3540438297 ISBN-13(EAN): 9783540438298
Издательство: Springer
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Описание: These are the refereed proceedings of the Third International Conference PorTAL 2002 - Portugal for Natural Language Processing, held in Faro, Portugal, in June 2002.

Автор: Mokrane Bouzeghoub; Zoubida Kedad; Elisabeth Metai
Название: Natural Language Processing and Information Systems
ISBN: 3540419438 ISBN-13(EAN): 9783540419433
Издательство: Springer
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Цена: 74530.00 T
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Описание: These are the refereed post-proceedings of the 5th International Conference on Application of Natural Language to Information Systems, NLDB 2000, held in Versailles, France, in June 2000.

Автор: Keh-Yih Su; Jun`ichi Tsujii; Jong-Hyeok Lee; Oi Ye
Название: Natural Language Processing – IJCNLP 2004
ISBN: 3540244751 ISBN-13(EAN): 9783540244752
Издательство: Springer
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Автор: Jos? Luis Vicedo; Particio Mart?nez-Barco; Rafael
Название: Advances in Natural Language Processing
ISBN: 3540234985 ISBN-13(EAN): 9783540234982
Издательство: Springer
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Цена: 97820.00 T
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Описание: EsTAL - Espana for Natural Language Processing - continued on from the three previous conferences: FracTAL, held at the Universit e de Franch-Comt e, Besan, con (France) in December 1997, VexTAL, held at Venice International University, Ca Foscari (Italy), in November 1999, and PorTAL, held at the U- versidade do Algarve, Faro (Portugal), in June 2002. The main goals of these conferences have been: (i) to bring together the international NLP community; (ii) to strengthen the position of local NLP research in the international NLP community; and (iii) to provide a forum for discussion of new research and - plications. EsTAL contributed to achieving these goals and increasing the already high international standing of these conferences, largely due to its Program Comm- tee, composedofrenownedresearchersinthe?eldofnaturallanguageprocessing and its applications. This clearly contributed to the signi?cant number of papers submitted (72) by researchers from (18) di?erent countries. The scope of the conference was structured around the following main topics: (i)computational linguistics research (spoken and written language analysis and generation; pragmatics, discourse, semantics, syntax and morphology; lexical - sources; word sense disambiguation; linguistic, mathematical, and psychological models of language; knowledge acquisition and representation; corpus-based and statistical language modelling; machine translation and translation aids; com- tationallexicography), and(ii)monolingualandmultilingualintelligentlanguage processing and applications (information retrieval, extraction and question - swering; automatic summarization; document categorization; natural language interfaces; dialogue systems and evaluation of systems).