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This collection of selected papers addresses theoretical and empirical issues related to lexical categories, categorization and category change. Any grammatical description makes use of parts-of-speech. The proper set of lexical categories and the definitions of their properties cross-linguistically has been a remnant issue in linguistics since the beginnings of grammatical description. Besides, the traditional classification of lexical classes with their morphological, syntactic and/or inter...

Categorization (Linguistics) --- Categorial grammar --- Congresses --- Categorial grammar -- Congresses. --- Categorization (Linguistics) -- Congresses. --- Sign language -- Congresses. --- Languages & Literatures --- Philology & Linguistics --- Grammar, Categorial --- Grammar, Comparative and general --- Classification (Linguistics) --- Linguistic analysis (Linguistics) --- Categorization (Linguistics) - Congresses --- Categorial grammar - Congresses

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Qu'est-ce que ce fameux bon sens en traduction ? Faut-il s'en méfier, voire le combattre ? Peut-on le théoriser ? Telles sont les questions auxquelles ce volume apporte des réponses, dont celle d'Ernst-August Gutt, l'auteur de l'ouvrage de référence Translation and Relevance (2000), qu'on lira ici pour la première fois en français.

Translating and interpreting --- Relevance --- Context (Linguistics) --- Traduction assistée par ordinateur --- Théorie de la pertinence (linguistique) --- Vertaaltheorie --- relevantie --- Vertaaltheorie. --- relevantie. --- #KVHA:Vertaalwetenschap --- Traduction --- Philosophie --- Congresses --- Contexte (linguistique) --- Pertinence --- Contexte --- Context (Linguistics). --- Relevance. --- Translating and interpreting. --- Vertalen --- Context (linguïstiek). --- Actes de congrès. --- Common sense --- Sens commun --- Traduction et interprétation --- Traduction. --- Traduction assistée par ordinateur. --- Philosophie. --- Translating and interpreting - Congresses --- Relevance - Congresses --- Context (Linguistics) - Congresses --- Common sense.

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Proceedings of the 2013 Chinese Intelligent Automation Conference presents selected research papers from the CIAC’13, held in Yangzhou, China. The topics include e.g. adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, and reconfigurable control. Engineers and researchers from academia, industry, and government can gain an inside view of new solutions combining ideas from multiple disciplines in the field of intelligent automation. Zengqi Sun and Zhidong Deng are professors at the Department of Computer Science, Tsinghua University, China.

Computational linguistics -- Congresses. --- Manufacturing processes -- Automation -- Congresses. --- Text processing (Computer science) -- Congresses. --- Mechanical Engineering --- Engineering & Applied Sciences --- Mechanical Engineering - General --- Intelligent control systems --- Automation --- Engineering. --- Control. --- Robotics and Automation. --- Computational Intelligence. --- Construction --- Industrial arts --- Technology --- Control and Systems Theory. --- Control engineering. --- Robotics. --- Automation. --- Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers

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This book presents recent advances (from 2008 to 2012) concerning use of the Naïve Bayes model in unsupervised word sense disambiguation (WSD). While WSD, in general, has a number of important applications in various fields of artificial intelligence (information retrieval, text processing, machine translation, message understanding, man-machine communication etc.), unsupervised WSD is considered important because it is language-independent and does not require previously annotated corpora. The Naïve Bayes model has been widely used in supervised WSD, but its use in unsupervised WSD has led to more modest disambiguation results and has been less frequent. It seems that the potential of this statistical model with respect to unsupervised WSD continues to remain insufficiently explored. The present book contends that the Naïve Bayes model needs to be fed knowledge in order to perform well as a clustering technique for unsupervised WSD and examines three entirely different sources of such knowledge for feature selection: WordNet, dependency relations and web N-grams. WSD with an underlying Naïve Bayes model is ultimately positioned on the border between unsupervised and knowledge-based techniques. The benefits of feeding knowledge (of various natures) to a knowledge-lean algorithm for unsupervised WSD that uses the Naïve Bayes model as clustering technique are clearly highlighted. The discussion shows that the Naïve Bayes model still holds promise for the open problem of unsupervised WSD.

Semantics --- Ambiguity. --- Natural language processing (Computer science) --- Computational linguistics. --- Data processing. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- NLP (Computer science) --- Data processing --- Computational linguistics -- Congresses. --- Text processing (Computer science) -- Congresses. --- Statistics. --- Computer science. --- Artificial intelligence. --- Statistics, general. --- Computer Science, general. --- Artificial Intelligence (incl. Robotics). --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Grammar, Comparative and general --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Statistics .