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This book provides a state of the art on work being done with parsed corpora. It gathers 21 papers on building and using parsed corpora raising many relevant questions, and deals with a variety of languages and a variety of corpora. It is for those working in linguistics, computational linguistics, natural language, syntax, and grammar.
Machine Conversationsis a collection of some of the best research available in the practical arts of machine conversation. The book describes various attempts to create practical and flexible machine conversation - ways of talking to computers in an unrestricted version of English or some other language. While this book employs and advances the theory of dialogue and its linguistic underpinnings, the emphasis is on practice, both in university research laboratories and in company research and development. Since the focus is on the task and on the performance, this book provides some of the first-rate work taking place in industry, quite apart from the academic tradition. It also reveals striking and relevant facts about the tone of machine conversations and closely evaluates what users require. Machine Conversations is an excellent reference for researchers interested in computational linguistics, cognitive science, natural language processing, artificial intelligence, human computer interfaces and machine learning.
This book is a collection of papers written by outstanding researchers in the newly emerging field of computational semantics. It is aimed at those linguists, computer scientists, and logicians who want to know more about the algorithmic realization of meaning in natural language and about what is happening in this field of research. It includes a general introduction by the editors.
This book introduces formal grammar theories that play a role in current linguistic theorizing (Phrase Structure Grammar, Transformational Grammar/Government & Binding, Generalized Phrase Structure Grammar, Lexical Functional Grammar, Categorial Grammar, Head-​Driven Phrase Structure Grammar, Construction Grammar, Tree Adjoining Grammar). The key assumptions are explained and it is shown how the respective theory treats arguments and adjuncts, the active/passive alternation, local reorderings, verb placement, and fronting of constituents over long distances. The analyses are explained with German as the object language. The second part of the book compares these approaches with respect to their predictions regarding language acquisition and psycholinguistic plausibility. The nativism hypothesis, which assumes that humans posses genetically determined innate language-specific knowledge, is critically examined and alternative models of language acquisition are discussed. The second part then addresses controversial issues of current theory building such as the question of flat or binary branching structures being more appropriate, the question whether constructions should be treated on the phrasal or the lexical level, and the question whether abstract, non-visible entities should play a role in syntactic analyses. It is shown that the analyses suggested in the respective frameworks are often translatable into each other. The book closes with a chapter showing how properties common to all languages or to certain classes of languages can be captured.
This volume is a selection of papers presented at a workshop entitled Predicative Forms in Natural Language and in Lexical Knowledge Bases organized in Toulouse in August 1996. A predicate is a named relation that exists among one or more arguments. In natural language, predicates are realized as verbs, prepositions, nouns and adjectives, to cite the most frequent ones. Research on the identification, organization, and semantic representa tion of predicates in artificial intelligence and in language processing is a very active research field. The emergence of new paradigms in theoretical language processing, the definition of new problems and the important evol ution of applications have, in fact, stimulated much interest and debate on the role and nature of predicates in naturallangage. From a broad theoret ical perspective, the notion of predicate is central to research on the syntax semantics interface, the generative lexicon, the definition of ontology-based semantic representations, and the formation of verb semantic classes. From a computational perspective, the notion of predicate plays a cent ral role in a number of applications including the design of lexical knowledge bases, the development of automatic indexing systems for the extraction of structured semantic representations, and the creation of interlingual forms in machine translation.
The acquired parsed terms can then be applied for precise retrieval and assembly of information."--BOOK JACKET.
Machine translation (MT) is the area of computer science and applied linguistics dealing with the translation of human languages such as English and German. MT on the Internet has become an important tool by providing fast, economical and useful translations. With globalisation and expanding trade, demand for translation is set to grow. Translation Engines covers theoretical and practical aspects of MT, both classic and new, including: - Character sets and formatting languages - Translation memory - Linguistic and computational foundations - Basic computational linguistic techniques - Transfer and interlingua MT - Evaluation Software accompanies the text, providing readers with hands on experience of the main algorithms.
Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals. Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP.
This book introduces formal grammar theories that play a role in current linguistic theorizing (Phrase Structure Grammar, Transformational Grammar/Government & Binding, Generalized Phrase Structure Grammar, Lexical Functional Grammar, Categorial Grammar, Head-​Driven Phrase Structure Grammar, Construction Grammar, Tree Adjoining Grammar). The key assumptions are explained and it is shown how the respective theory treats arguments and adjuncts, the active/passive alternation, local reorderings, verb placement, and fronting of constituents over long distances. The analyses are explained with German as the object language. The second part of the book compares these approaches with respect to their predictions regarding language acquisition and psycholinguistic plausibility. The nativism hypothesis, which assumes that humans posses genetically determined innate language-specific knowledge, is critically examined and alternative models of language acquisition are discussed. The second part then addresses controversial issues of current theory building such as the question of flat or binary branching structures being more appropriate, the question whether constructions should be treated on the phrasal or the lexical level, and the question whether abstract, non-visible entities should play a role in syntactic analyses. It is shown that the analyses suggested in the respective frameworks are often translatable into each other. The book closes with a chapter showing how properties common to all languages or to certain classes of languages can be captured.