Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to the research in natural language processing (NLP).
The book gives a comprehensive discussion of Database Semantics (DBS) as an agent-based data-driven theory of how natural language communication essentially works.
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.
This book demonstrates how the underlying principles of the English-based FrameNet project are successfully applied to the description and analysis of typologically diverse languages.
This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned.
This book is about a new approach in the field of computational linguistics related to the idea of constructing n-grams in non-linear manner, while the traditional approach consists in using the data from the surface structure of texts, i.
This collection of papers takes linguists to the leading edge of techniques in generative lexicon theory, the linguistic composition methodology that arose from the imperative to provide a compositional semantics for the contextual modifications in meaning that emerge in real linguistic usage.
This SpringerBrief presents the data- information-and-time (DIT) model that precisely clarifies the semantics behind the terms data, information and their relations to the passage of real time.
This book presents the consolidated acoustic data for all phones in Standard Colloquial Bengali (SCB), commonly known as Bangla, a Bengali language used by 350 million people in India, Bangladesh, and the Bengali diaspora.
This book brings together a variety of approaches to English corpus linguistics and shows how corpus methodologies can contribute to the linking of diachronic and synchronic studies.
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.
Edited in collaboration with FoLLI, the Association of Logic, Language and Information, this book constitutes the refereed proceedings of the 8th International Conference on Logical Aspects of Computational Linguistics (LACL 2014) held in Toulouse, France, in June 2014.
Since the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles.
In a world in which advanced communication technologies have made the reporting of disasters and conflicts (also in the form of breaking news) a familiar and 'normalised' activity, the information we present here about television news reporting of the 2003 war in Iraq has implications that go beyond this particular conflict.
Intelligent Multimodal Information Presentation relates to the ability of a computer system to automatically produce interactive information presentations, taking into account the specifics about the user, such as needs, interests and knowledge, and engaging in a collaborative interaction that helps the retrieval of relevant information and its understanding on the part of the user.
In its nine chapters, this book provides an overview of the state-of-the-art and best practice in several sub-fields of evaluation of text and speech systems and components.
This volume is based on contributions from the First International Conference on “Recent Advances in Natural Language Processing” (RANLP’95) held in Tzigov Chark, Bulgaria, 14-16 September 1995.
The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks.
This book covers theoretical work, applications, approaches, and techniques for computational models of information and its presentation by language (artificial, human, or natural in other ways).
This book is the first dedicated to linguistic parsing - the processing of natural language according to the rules of a formal grammar - in the Minimalist Program.