Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Recent Advances in Natural Language Processing III
This volume brings together revised versions of a selection of papers presented at the 2003 International Conference on "Recent Advances in Natural Language Processing". A wide range of topics is covered in the volume: semantics, dialog, summarization, anaphora resolution, shallow parsing, morphology, part-of-speech tagging, named entity, question answering, word sense disambiguation, information extraction. Various 'state-of-the-art' techniques are explored: finite state processing, machine learning (support vector machines, maximum entropy, decision trees, memory-based learning, inductive logic programming, transformation-based learning, perceptions), latent semantic analysis, constraint programming. The papers address different languages (Arabic, English, German, Slavic languages) and use different linguistic frameworks (HPSG, LFG, constraint-based DCG). This book will be of interest to those who work in computational linguistics, corpus linguistics, human language technology, translation studies, cognitive science, psycholinguistics, artificial intelligence, and informatics.
Natural Language Parsing and Linguistic Theories
presupposition fails, we now give a short introduction into Unification Grammar. Since all implementations discussed in this volume use PROLOG (with the exception of BlockjHaugeneder), we felt that it would also be useful to explain the difference between unification in PROLOG and in UG. After the introduction to UG we briefly summarize the main arguments for using linguistic theories in natural language processing. We conclude with a short summary of the contributions to this volume. UNIFICATION GRAMMAR 3 Feature Structures or Complex Categories. Unification Grammar was developed by Martin Kay (Kay 1979). Martin Kay wanted to give a precise defmition (and implementation) of the notion of 'f...
A Grammar of Tukang Besi
The series builds an extensive collection of high quality descriptions of languages around the world. Each volume offers a comprehensive grammatical description of a single language together with fully analyzed sample texts and, if appropriate, a word list and other relevant information which is available on the language in question. There are no restrictions as to language family or area, and although special attention is paid to hitherto undescribed languages, new and valuable treatments of better known languages are also included. No theoretical model is imposed on the authors; the only criterion is a high standard of scientific quality. To discuss your book idea or submit a proposal, please contact Birgit Sievert.
The Role of Theory in Language Description
TRENDS IN LINGUISTICS is a series of books that open new perspectives in our understanding of language. The series publishes state-of-the-art work on core areas of linguistics across theoretical frameworks, as well as studies that provide new insights by approaching language from an interdisciplinary perspective. TRENDS IN LINGUISTICS considers itself a forum for cutting-edge research based on solid empirical data on language in its various manifestations, including sign languages. It regards linguistic variation in its synchronic and diachronic dimensions as well as in its social contexts as important sources of insight for a better understanding of the design of linguistic systems and the ecology and evolution of language. TRENDS IN LINGUISTICS publishes monographs and outstanding dissertations as well as edited volumes, which provide the opportunity to address controversial topics from different empirical and theoretical viewpoints. High quality standards are ensured through anonymous reviewing. To discuss your book idea or submit a proposal, please contact Birgit Sievert.
Metaphor and Metonymy in Comparison and Contrast
The book elaborates one of Roman Jakobson's many brilliant ideas, i.e. his insight that the two cognitive strategies of the metaphoric and the metonymic are the end-points on a continuum of conceptualization processes. This elaboration is achieved on the background of Lakoff and Johnson's twodomain approach, i.e. the mapping of a source onto a target domain of conceptualization. Further approaches dwell on different stretches of this metaphor-metonymy continuum. Still other papers probe into the specialized conceptual division of labor associated with both modes of thought. Two new breakthroughs in the cognitive linguistics approach to metaphor and metonymy have recently been developed: one is the three-domain approach, which concentrates on the new blends that become possible after the integration or the blending of source and target domain elements; the other is the approach in terms of primary scenes and subscenes which often determine the way source and target domains interact.
English Inversion
The book provides an account of English inversion, a construction that displays perplexing idiosyncrasies at the level of semantics, phonology, syntax, and pragmatics. Basing his central argument on the claim that inversion is a linguistic representation of a Ground-before-Figure model, the author develops an elegant solution to a hitherto unsolved multidimensional linguistic puzzle and, in the process, supports the theoretical position that a cognitive approach best suits the multidimensionality of language itself. Engagingly written, the book will appeal to linguists of all persuasions and to any reader curious about the relationship between language and cognition.
Multiword expressions at length and in depth
The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual reso...
Representation and parsing of multiword expressions: Current trends
This book consists of contributions related to the definition, representation and parsing of MWEs. These reflect current trends in the representation and processing of MWEs. They cover various categories of MWEs such as verbal, adverbial and nominal MWEs, various linguistic frameworks (e.g. tree-based and unification-based grammars), various languages including English, French, Modern Greek, Hebrew, Norwegian), and various applications (namely MWE detection, parsing, automatic translation) using both symbolic and statistical approaches.
Lexical Issues of UNL
This book inaugurates a series of discussions on what is permanent in the original thinking of the UNL – Universal Networking Language – and the changes that have been introduced during its development. The purpose of the book is to highlight the UNL’s fundamental principles that remain as integral as they were when they were first formulated several years ago, while showing how their materialization has evolved over time, following the advances in Linguistics, Knowledge Engineering and Information Sciences. The fundamental and unchanged principles of the UNL are: The idea of an artificial language that is able to describe the universe similar to any human language; The idea of a langu...
Naive Semantics for Natural Language Understanding
This book introduces a theory, Naive Semantics (NS), a theory of the knowledge underlying natural language understanding. The basic assumption of NS is that knowing what a word means is not very different from knowing anything else, so that there is no difference in form of cognitive representation between lexical semantics and ency clopedic knowledge. NS represents word meanings as commonsense knowledge, and builds no special representation language (other than elements of first-order logic). The idea of teaching computers common sense knowledge originated with McCarthy and Hayes (1969), and has been extended by a number of researchers (Hobbs and Moore, 1985, Lenat et aI, 1986). Commonsense...
