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Machine Learning
One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their performance with practice and of acquiring knowledge on their own. The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence Approach (Morgan-Kaufman Publishers). which provide a smaller number of in-depth research papers. Ea...
Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing
This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.
Progress in Artificial Intelligence
The Portuguese Association for Arti cial Intelligence (APPIA) has been re- larly organising the Portuguese Conference on Arti cial Intelligence (EPIA). This ninth conference follows previous ones held in Porto (1985), Lisboa (1986), Braga (1987), Lisboa (1989), Albufeira (1991), Porto (1993), Funchal (1995) and Coimbra (1997). Starting in 1989, the conferences have been held biennially (alternating with an APPIA Advanced School on Arti cial Intelligence) and become truly international: English has been adopted as the o cial language and the proceedings are published in Springer’s LNAI series. The conference has recon rmed its high international standard this year, largely due to its progra...
The Balancing Act
Symbolic and statistical approaches to language have historically been at odds--the former viewed as difficult to test and therefore perhaps impossible to define, and the latter as descriptive but possibly inadequate. At the heart of the debate are fundamental questions concerning the nature of language, the role of data in building a model or theory, and the impact of the competence-performance distinction on the field of computational linguistics. Currently, there is an increasing realization in both camps that the two approaches have something to offer in achieving common goals. The eight contributions in this book explore the inevitable "balancing act" that must take place when symbolic ...
Text-based intelligent Systems
The symposium on which this volume was based brought together approximately fifty scientists from a variety of backgrounds to discuss the rapidly-emerging set of competing technologies for exploiting a massive quantity of textual information. This group was challenged to explore new ways to take advantage of the power of on-line text. A billion words of text can be more generally useful than a few hundred logical rules, if advanced computation can extract useful information from streams of text and help find what is needed in the sea of available material. While the extraction task is a hot topic for the field of natural language processing and the retrieval task is a solid aspect in the fie...
Lexis and Creativity in Translation
Computers offer new perspectives in the study of language, allowing us to see phenomena that previously remained obscure because of the limitations of our vantage points. It is not uncommon for computers to be likened to the telescope, or microscope, in this respect. In this pioneering computer-assisted study of translation, Dorothy Kenny suggests another image, that of the kaleidoscope: playful changes of perspective using corpus-processing software allow textual patterns to come into focus and then recede again as others take their place. And against the background of repeated patterns in a corpus, creative uses of language gain a particular prominence. In Lexis and Creativity in Translati...
Naming, Identity and Tourism
Names weave the texture of our daily lives in ways that are self-evident. However, behind their taken-for-granted threads, they conceal a considerable meaning potential that may turn them into malleable vehicles of human goals and agendas. The novelty of this volume lies in the special focus it places on the intersections of naming, identity and tourism, pointing to how names may play a role in the multifaceted process of identity-formation by shaping and promoting tourist attractions, be they topographical or metaphorical locations. The volume collects original contributions on this emerging field of enquiry that foster an eclectic approach to the study of names. The thematic focus and the several approaches adopted here will make the text appealing to postgraduate students and researchers from several disciplinary fields ranging across onomastics, linguistics, cultural and social geography, history, archaeology, heritage, literature, postcolonial studies, and media studies.
10th Annual Conference Cognitive Science Society Pod
First Published in 1988. A collection of papers, presentations and poster summaries from the tenth annual conference of the Cognitive Science Society in Montreal, Canada August 1988.
Foundations of Statistical Natural Language Processing
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.
Multilingual Corpora in Teaching and Research
The use of corpus data in languages other than English has become increasingly important in recent years, and as a result has given rise to a growing body of research and applications in multilingual corpus linguistics. This book collects together a selection of papers which have made use of multilingual corpus data in language teaching, as well as linguistic research. The corpora described in this book include data in a variety of languages, including Swedish, Chinese, German and Italian, and the contributors include well known scholars in the fields of corpus linguistics and corpus-based language teaching.
