Inductive Dependency Parsing

Inductive Dependency Parsing PDF Author: Joakim Nivre
Publisher: Springer Science & Business Media
ISBN: 1402048890
Category : Computers
Languages : en
Pages : 224

Book Description
This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. Coverage includes a theoretical analysis of central models and algorithms, and an empirical evaluation of memory-based dependency parsing using data from Swedish and English. A one-stop reference to dependency-based parsing of natural language, it will interest researchers and system developers in language technology, and is suitable for graduate or advanced undergraduate courses.

Inductive Dependency Parsing

Inductive Dependency Parsing PDF Author: Joakim Nivre
Publisher: Springer
ISBN: 9781402048883
Category : Computers
Languages : en
Pages : 212

Book Description
This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. Coverage includes a theoretical analysis of central models and algorithms, and an empirical evaluation of memory-based dependency parsing using data from Swedish and English. A one-stop reference to dependency-based parsing of natural language, it will interest researchers and system developers in language technology, and is suitable for graduate or advanced undergraduate courses.

Inductive Dependency Parsing of Natural Language Text

Inductive Dependency Parsing of Natural Language Text PDF Author: Joakim Nivre
Publisher:
ISBN:
Category :
Languages : en
Pages : 209

Book Description


Dependency Parsing

Dependency Parsing PDF Author: Sandra Kübler
Publisher: Morgan & Claypool Publishers
ISBN: 1598295969
Category : Computers
Languages : en
Pages : 128

Book Description
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

Trends in Parsing Technology

Trends in Parsing Technology PDF Author: Harry Bunt
Publisher: Springer Science & Business Media
ISBN: 9048193524
Category : Language Arts & Disciplines
Languages : en
Pages : 300

Book Description
Computer parsing technology, which breaks down complex linguistic structures into their constituent parts, is a key research area in the automatic processing of human language. This volume is a collection of contributions from leading researchers in the field of natural language processing technology, each of whom detail their recent work which includes new techniques as well as results. The book presents an overview of the state of the art in current research into parsing technologies, focusing on three important themes: dependency parsing, domain adaptation, and deep parsing. The technology, which has a variety of practical uses, is especially concerned with the methods, tools and software that can be used to parse automatically. Applications include extracting information from free text or speech, question answering, speech recognition and comprehension, recommender systems, machine translation, and automatic summarization. New developments in the area of parsing technology are thus widely applicable, and researchers and professionals from a number of fields will find the material here required reading. As well as the other four volumes on parsing technology in this series this book has a breadth of coverage that makes it suitable both as an overview of the field for graduate students, and as a reference for established researchers in computational linguistics, artificial intelligence, computer science, language engineering, information science, and cognitive science. It will also be of interest to designers, developers, and advanced users of natural language processing systems, including applications such as spoken dialogue, text mining, multimodal human-computer interaction, and semantic web technology.

Semi-Supervised Dependency Parsing

Semi-Supervised Dependency Parsing PDF Author: Wenliang Chen
Publisher: Springer
ISBN: 9812875522
Category : Language Arts & Disciplines
Languages : en
Pages : 149

Book Description
This book presents a comprehensive overview of semi-supervised approaches to dependency parsing. Having become increasingly popular in recent years, one of the main reasons for their success is that they can make use of large unlabeled data together with relatively small labeled data and have shown their advantages in the context of dependency parsing for many languages. Various semi-supervised dependency parsing approaches have been proposed in recent works which utilize different types of information gleaned from unlabeled data. The book offers readers a comprehensive introduction to these approaches, making it ideally suited as a textbook for advanced undergraduate and graduate students and researchers in the fields of syntactic parsing and natural language processing.

Turkish Natural Language Processing

Turkish Natural Language Processing PDF Author: Kemal Oflazer
Publisher: Springer
ISBN: 3319901656
Category : Language Arts & Disciplines
Languages : en
Pages : 376

Book Description
This book brings together work on Turkish natural language and speech processing over the last 25 years, covering numerous fundamental tasks ranging from morphological processing and language modeling, to full-fledged deep parsing and machine translation, as well as computational resources developed along the way to enable most of this work. Owing to its complex morphology and free constituent order, Turkish has proved to be a fascinating language for natural language and speech processing research and applications. After an overview of the aspects of Turkish that make it challenging for natural language and speech processing tasks, this book discusses in detail the main tasks and applications of Turkish natural language and speech processing. A compendium of the work on Turkish natural language and speech processing, it is a valuable reference for new researchers considering computational work on Turkish, as well as a one-stop resource for commercial and research institutions planning to develop applications for Turkish. It also serves as a blueprint for similar work on other Turkic languages such as Azeri, Turkmen and Uzbek.

Parsing Schemata for Practical Text Analysis

Parsing Schemata for Practical Text Analysis PDF Author: Carlos Gómez Rodríguez
Publisher: World Scientific
ISBN: 1848165617
Category : Computers
Languages : en
Pages : 290

Book Description
The book presents a wide range of recent research results about parsing schemata, introducing formal frameworks and theoretical results while keeping a constant focus on applicability to practical parsing problems. The first part includes a general introduction to the parsing schemata formalism that contains the basic notions needed to understand the rest of the parts. Thus, this compendium can be used as an introduction to natural language parsing, allowing postgraduate students not only to get a solid grasp of the fundamental concepts underlying parsing algorithms, but also an understanding of the latest developments and challenges in the field. Researchers in computational linguistics will find novel results where parsing schemata are applied to current problems that are being actively researched in the computational linguistics community (like dependency parsing, robust parsing, or the treatment of non-projective linguistics phenomena). This book not only explains these results in a more detailed, comprehensive and self-contained way, and highlights the relations between them, but also includes new contributions that have not been presented.

Empirical Approaches to Linguistic Theory

Empirical Approaches to Linguistic Theory PDF Author: Britta Stolterfoht
Publisher: Walter de Gruyter
ISBN: 1614510881
Category : Language Arts & Disciplines
Languages : en
Pages : 360

Book Description
The mental representation of language cannot be directly observed but must be inferred and modelled from its effects at second hand. Linguists have traditionally responded to this in two ways, either going for a fairly data-light approach and valuing theoretical creativity, or pursuing just those goals for which data is available and trusting to data-driven descriptive work. More recently, advances in technology and experimental techniques have made data gathering easier and more accessible, so that a theoretically informed but empirically based approach is rapidly growing in popularity. This synthesis permits linguists to combine the intellectual hypothesis generation of the theoreticians with the ability to deliver hard answers of the empiricist. This volume is a collection of papers in this direction, using mostly experiment methods to yield insights into syntactic and semantic structures, language processing, and acquisition. Papers report corpus data, neurological investigations, child language studies, and fieldwork from minority languages.

Computational Linguistics and Intelligent Text Processing

Computational Linguistics and Intelligent Text Processing PDF Author: Alexander Gelbukh
Publisher: Springer
ISBN: 3642194001
Category : Computers
Languages : en
Pages : 486

Book Description
This two-volume set, consisting of LNCS 6608 and LNCS 6609, constitutes the thoroughly refereed proceedings of the 12th International Conference on Computer Linguistics and Intelligent Processing, held in Tokyo, Japan, in February 2011. The 74 full papers, presented together with 4 invited papers, were carefully reviewed and selected from 298 submissions. The contents have been ordered according to the following topical sections: lexical resources; syntax and parsing; part-of-speech tagging and morphology; word sense disambiguation; semantics and discourse; opinion mining and sentiment detection; text generation; machine translation and multilingualism; information extraction and information retrieval; text categorization and classification; summarization and recognizing textual entailment; authoring aid, error correction, and style analysis; and speech recognition and generation.