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Lexical effects on language processing are currently a major focus of attention in studies of sentence comprehension. This thematic collection provides a uniquely multi-faceted and integrated viewpoint on key aspects of lexicalist theories, drawing from the fields of theoretical linguistics, computational linguistics, and psycholinguistics. The focus of this stimulating volume is on a number of central topics: The discussion of foundational issues concerning the nature of the lexicon and its relationship to sentence understanding; the exploration of the relationship between syntactic and lexical processing; and the investigation of the specific content of lexical entries, especially for verbs. The authors draw on a range of methodologies, from computational modeling to corpus studies to behavioral and neuro-imaging experimental techniques. The breadth of topics and methodologies is brought together by the articulated, critical analysis of the field provided in the introduction. The research reported here elaborates both the structure and the probabilistic content of lexical representations, and meets up with work in computer science, linguistics, psychology, and philosophy on the relation between conceptual, grammatical, and statistical knowledge.

Computational linguistics --- Grammar, Comparative and general --- Lexicology --- Psycholinguistics --- Syntax --- #KVHA:Linguistiek --- Syntaxe --- Lexicologie --- Psycholinguistique --- Linguistique informatique --- Congresses --- Congrès --- Linguistics --- Philology

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Parsing technology is a central area of research in the automatic processing of human language. It is concerned with the decomposition of complex structures into their constituent parts, in particular with the methods, the tools and the software to parse automatically. Parsers are used in many application areas, such as information extraction from free text or speech, question answering, speech recognition and understanding, recommender systems, machine translation, and automatic summarization. New developments in the area of parsing technology are thus widely applicable. This book collects contributions from leading researchers in the area of natural language processing technology, describing their recent work and a range of new techniques and results. The book presents a state-of-the-art overview of current research in parsing tehcnologies with a focus on three important themes in the field today: dependency parsing, domain adaptation, and deep parsing. This book is the fourth in a line of such collections, and its breadth of coverage should make it suitable both as an overview of the state 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.

Computational linguistics. --- Natural language processing (Computer science). --- Parsing (Computer grammar). --- Parsing (Computer grammar) --- Computational linguistics --- Natural language processing (Computer science) --- Languages & Literatures --- Philology & Linguistics --- NLP (Computer science) --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Parsers (Computer grammar) --- Data processing --- Linguistics. --- Computational Linguistics. --- Language Translation and Linguistics. --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Formal languages --- Generative grammar --- Grammar, Comparative and general --- Natural Language Processing (NLP).

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Parsing technology is a central area of research in the automatic processing of human language. It is concerned with the decomposition of complex structures into their constituent parts, in particular with the methods, the tools and the software to parse automatically. Parsers are used in many application areas, such as information extraction from free text or speech, question answering, speech recognition and understanding, recommender systems, machine translation, and automatic summarization. New developments in the area of parsing technology are thus widely applicable. This book collects contributions from leading researchers in the area of natural language processing technology, describing their recent work and a range of new techniques and results. The book presents a state-of-the-art overview of current research in parsing tehcnologies with a focus on three important themes in the field today: dependency parsing, domain adaptation, and deep parsing. This book is the fourth in a line of such collections, and its breadth of coverage should make it suitable both as an overview of the state 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.

Computer architecture. Operating systems --- Mathematical linguistics --- Linguistics --- spraaktechnologie --- vertalen