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Topic: Semantic analysis (computer science)

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UVA Computer Science An Analysis of the Performance Impact of Buffering Functional Units in the WM Computer Architecture Analysis of Disk Caching Algorithms for the Lilith Computer A Data Structure for the Representation of Artwork Images in Support of a Computer Aided Analysis System www.cs.virginia.edu /people/alumni/alumnisearch.php

Towards the Correctness and Consistency of Update Semantics in Semantic Database Schema [11] Z.Dong, "A User Interface for Database Schema Design and Analysis," No. TR93-224, Dept. of Computer Science and Statistics, Univ. of Rhode Island, Aug. 1992. Database and Expert Systems Applications, in Lecture Notes in Computer Science,, Springer-Verlag, pp. A classification of enforcement rule types is provided as a basis for these design activities, and the general strategy for specification, analysis, and implementation of these rules within a semantic modeling paradigm is discussed. csdl.computer.org /comp/trans/tk/1996/03/k0503abs.htm

Semantic analysis: Definition and links by Encyclopedian.com Information about Semantic analysis In computer science, semantic analysis is a pass that identifies the meaning of a programming language and determines how to execute it. In other words, semantic analysis is what defines the individual character of a programming language. The job of the semantic analyzer is to understand the meaning of programming language and make decisions about how to execute it, that is, to indentify the role of an expression and make the order of evaluation. www.encyclopedian.com /se/Semantic-analysis.html

Semantic analysis - Wikipedia, the free encyclopedia In computer science, semantic analysis is a pass by a compiler that adds semantical information to the In linguistics, semantic analysis is the process of unpacking clause, sentence and paragraph structure, and even the structure of the work as a whole, to remove features specific to the language in which it is written and also the culture in which it was intended to be read. (In a compiler implementation, it may be possible to fold different phases into one pass.) Typical examples of semantical information that is added and checked is typing information ( type checking) and the binding of variables and function names to their definitions ( object binding). en.wikipedia.org /wiki/Semantic_analysis

cogsci2k-poster.txt RANDOM INDEXING OF TEXT SAMPLES FOR LATENT SEMANTIC ANALYSIS Pentti Kanerva Jan Kristoferson Anders Holst kanerva@sics.se janke@sics.se aho@sics.se RWCP Theoretical Foundation SICS Laboratory Swedish Institute of Computer Science Box 1263, SE-16429 Kista, Sweden ABSTRACT In statistical study of natural language, word-use statistics are often collected into a huge matrix, which then is analyzed mathematically. The method is based on sparse distributed representation and is explained with reference to Latent Semantic Analysis/Indexing (LSA/LSI). However, matrices for very large corpora can be too large for computers to handle. www.rni.org /kanerva/cogsci2k-poster.txt   (1385 words)

MM 2003 Tutorial Program: T11 The challenges in computationally modelling, deriving, and applying media semantics require knowledge and techniques from a variety of disciplines and domains, many of them outside of traditional computer and information science. Her research interests are in the areas of multimedia systems and digital video analysis, computer vision, pattern recognition, and machine learning. One promising approach to bridging the semantic gap and building high-level semantic descriptions for media content access, management, and processing is founded on an understanding of media elements and their roles in synthesizing meaning, manipulating perceptions, and crafting messages, within a computationally informed and systematic study of media production and reception. www.cs.utexas.edu /users/lasr/newmm/t11.shtml   (1569 words)

Learn more about Semantic analysis in the online encyclopedia. In computer science, semantic analysis is a pass that identifies the meaning of a programming language and determines how to execute it. The job of the semantic analyzer is to understand the meaning of programming language and make decisions about how to execute it, that is, to indentify the role of an expression and make the order of evaluation. Semantic analyzers usually maintain symbolic tables in order to know what a symbol refers to when it is encountered. www.onlineencyclopedia.org /s/se/semantic_analysis.html   (227 words)

E0 COMPUTER SCIENCE Review of syntax analysis and use of tools LEX and YACC; symbol tables and semantic analysis; run time storage administration and intermediate code generation; dataflow analysis, code optimization and register allocation; instruction selection and code generation; machine dependent optimizations for pipelined, and clustered architectures. Software Modeling and Analysis: analysis modeling and best practices, traditional best practice diagrams such as DFDs and ERDs, UML diagrams and UML analysis modeling, analysis case studies, analysis tools, analysis patterns. Sorting: Advanced sorting methods and their analysis, lower bound on complexity, order statistics. www.iisc.ernet.in /soi/e0.htm   (227 words)

Lambda the Ultimate Programming Languages Weblog Game semantics made its breakthrough in computer science in the early 90s, providing an innovative set of methods and techniques for the analysis of logical systems. In addition to semantic analysis, an algorithmic approach to game semantics has recently been developed, with a view to applications in computer assisted verification and program analysis. There are also emerging connections between game semantics and other semantic theories, notably theories of concurrency such as the pi-calculus, and traditional tree-based semantics of lambda calculi. lambda-the-ultimate.org /archive/2005/4/2   (335 words)

Cover Pages: XML and Attribute Grammars Attribute grammars nre applied in such diverse fields of computer science as compiler construction and software engineering. Attribute grammars are applied in such diverse fields of computer science as compiler construction and software engineering. Attribute grammars provide a mechanism for annotating the nodes of a tree with so-called 'attributes', by means of so-called 'semantic rules' which can work either bottom-up (for so-called 'synthesized' attribute values) or top-down (for so-called 'inherited' attribute values). xml.coverpages.org /xmlAttributeGrammars.html   (4034 words)

Peter Chen - The ER model also serves as the foundation of some of the recent work on Object-Oriented analysis and design methodologies and Semantic Web. The ER Model serves as the foundation of many systems analysis and design methodologies, computer-aided software engineering (CASE) tools, and repository systems. [2] Recently, Dr. Chen was honored by the selection of his original ER model paper as one of the 38 most influential papers in Computer Science according to a survey of 1,000 computer science college professors. www.grohol.com /psypsych/Peter_Chen   (408 words)

Semantics Article, Semantics Information Many of the formal approaches to semantics applied in linguistics, mathematical logic and computer science originated intechniques for the semantics of logic, most influentially being Alfred Tarski 's ideas in model theory and his semantic theoryof truth. semntics, semantic, semantic, logic, sematnics, science, semanitcs, formal, semnatics, syntax, esmantics, truth, emantics, theory, sematics, words, semantis, pertains, seantics, pragmatics, semantisc, general, semantcis, proof, semantcs, conditions, semanics, analysis, smantics, progression, seamntics, feature,, natural, smeantics, metalanguage Semantics is a subfield of linguistics that istraditionally defined as the study of meaning of (parts of) words, phrases,sentences, and texts. www.anoca.org /linguistics/semantic/semantics.html   (408 words)

BI The logic of bunched implications, BI, provides a logical analysis of a basic notion of resource rich enough, for example, to form the logical basis for ``pointer logic'' and ``separation logic'' semantics for programs which manipulate mutable data structures. This monograph will be of interest to graduate students and researchers in mathematical logic, philosophical logic, computational logic and theoretical computer science. The propositional version of BI arises from an analysis of the proof-theoretic relationship between conjunction and implication and can be viewed as a merging of intuitionistic logic and multiplicative intuitionistic linear logic. www.cs.bath.ac.uk /~pym/BI.html   (1345 words)

Computational Linguistics Colloquium Part two summarizes the main principles of Frame Semantics, which underlies the analysis of words in FrameNet. This talk gives an overview of the FrameNet project which is housed at the International Computer Science Institute at UC Berkeley. FrameNet is in the process of developing a corpus-based lexicon of several thousand English lexical units described in terms of Frame Semantics (Fillmore, 1982).More specifically, FrameNet creates, based on word uses in large corpora, a database of lexical entries for English verbs, nouns, and adjectives taken from a variety of semantic domains. www.coli.uni-saarland.de /colloquium/summer02/boas.phtml   (213 words)

E0 COMPUTER SCIENCE Review of syntax analysis and use of tools LEX and YACC; symbol tables and semantic analysis; run time storage administration and intermediate code generation; dataflow analysis, code optimization and register allocation; instruction selection and code generation; machine dependent optimizations for pipelined, and clustered architectures. Redundancy techniques, `Fault Coverage, Computational integrity, Fault detection methods Fault identification algorithms, Exception handling, Damage assessment and confinement, System diagnosability, Diagnosis algorithms, System recovery and distribution, Reconfiguration techniques, Repairable Systems, algorithms based fault tolerance testing techniques, Test scheduling, Test pattern generation, Fault tolerant computer communication networks, Fault tolerance of Software. Elementary number theory, Finite fields, Arithmetic and algebraic algorithms, Secret key and public key cryptography, Pseudo random bit generators, Block and stream ciphers, Hash functions and message digests, Public key encryption, Probabilistic encryption, Authentication, Digital signatures, Zero knowledge interactive protocols, Elliptic curve cryptosystems, Formal verification, Cryptanalysis, Hard problems. www.iisc.ernet.in /soi/e0.htm   (213 words)

Paul Thompson's Research Publications IEEE International Conference on Computer Vision and Pattern Recognition, and Workshop on Mathematical Methods in Biomedical Image Analysis, Hilton Head Island, South Carolina, June 11-12 2000, pp. Analysis of Regional Brain Atrophy in a Single Case of Semantic Dementia Using Serial MRI with Inverse-Consistent Non-Rigid Registration, 11th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Toronto, Canada, June 12-16, 2005. Haney, S.M., Thompson, P.M., Cloughesy, T.F., Alger, J.R., Frew, A., Torres-Trejo, A., Mazziotta, J.C., Toga, A.W. Mapping Therapeutic Response in a Patient with Malignant Glioma, Journal of Computer Assisted Tomography, 25(4):529-36, July-Aug. 2001. www.loni.ucla.edu /~thompson/thompson_pubs.html   (213 words)

Workshop 2003 - Semantic Analysis Over Sparse Data (the difference of POS and word sense disambiguation) University of Sheffield, Computer Science Dept. Memoranda in Computer and Cognitive Science, CS-98-12. Brown P.F., Cocke J., Della Pietra A., Della Pietra V.J., Jelinek F., Lafferty J.D., Mercer R.L., Roossin P.S., A Statistical Approach to Machine Translation. D. Yarowsky, Word Sense Disambiguation, Using Statistical Models of Roget's Categories Trained on Large Corpora, Proceedings of Coling'92, Nantes, 1992. www.clsp.jhu.edu /ws2003/groups/sparse   (830 words)

Semantics In computer science, semantic analysis is a pass that identifies the meaning of a programming language and determines how to execute it. General Semantics is a school of thought founded by Alfred Korzybski in about 1933 in response to his observations that most people had difficulty defining human and social discussions and problems and cou... A disagreement is a semantic dispute if (1) the parties to the disagreement disagree about whether a particular claim is true, (2) they agree on all material facts, but (3) they dis... www.ezresult.com /related/Semantics   (830 words)

ILK Publications Reference: In: R. Mihalcea and P. Edmonds (eds.), Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text (Senseval-3), Barcelona, Spain, July 2004, pages 108-112. Reference : In: Proceedings of the 4th Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2003), Mexico City, Mexico, Lecture Notes in Computer Science 2588, Springer Verlag, 2003, pp. (eds.), Proceedings of the LREC 2004 Workshop "Beyond Named Entity Recognition - Semantic Labelling for NLP Tasks", pages 25-30. ilk.kub.nl /papers.html   (830 words)

Amazon.com: Books: The Evolution of Grammar : Tense, Aspect, and Modality in the Languages of the World Uses computer analysis to compare the grammatical categories across about a hundred languages, many of them unrelated, with the aim of illuminating universal dynamics of grammatical change. This analysis reveals that lexical substance evolves into grammatical substance through various mechanisms of change, such as metaphorical extension and the conventionalization of implicature. Outlines the theoretical background, the innovative methodology, and the quantitative approach to grammaticization, then details the findings on anterior, perfective, and related senses; progressive, imperfective, present, and related senses; mood and modality; the future; and the mechanisms of semantic change. www.amazon.com /exec/obidos/ASIN/0226086658   (830 words)

Workshop 2003 - Semantic Analysis Over Sparse Data (the difference of POS and word sense disambiguation) University of Sheffield, Computer Science Dept. Memoranda in Computer and Cognitive Science, CS-98-12. D. Yarowsky, Word Sense Disambiguation, Using Statistical Models of Roget's Categories Trained on Large Corpora, Proceedings of Coling'92, Nantes, 1992. I. Dagan, A. Itai, Word-Sense disambiguation Using a Second Language Monolingual Corpus, Computational Linguistics, volume 20, n. www.clsp.jhu.edu /ws2003/groups/sparse   (830 words)

Workshop 2003 - Semantic Analysis Over Sparse Data (the difference of POS and word sense disambiguation) University of Sheffield, Computer Science Dept. Memoranda in Computer and Cognitive Science, CS-98-12. D. Yarowsky, Word Sense Disambiguation, Using Statistical Models of Roget's Categories Trained on Large Corpora, Proceedings of Coling'92, Nantes, 1992. I. Dagan, A. Itai, Word-Sense disambiguation Using a Second Language Monolingual Corpus, Computational Linguistics, volume 20, n. www.clsp.jhu.edu /ws2003/groups/sparse   (830 words)

Workshop 2003 - Semantic Analysis Over Sparse Data (the difference of POS and word sense disambiguation) University of Sheffield, Computer Science Dept. Memoranda in Computer and Cognitive Science, CS-98-12. I. Dagan, A. Itai, Word-Sense disambiguation Using a Second Language Monolingual Corpus, Computational Linguistics, volume 20, n. Is Word Sense Disambiguation Just One more NLP Task? www.clsp.jhu.edu /ws2003/groups/sparse   (830 words)

Workshop 2003 - Semantic Analysis Over Sparse Data (the difference of POS and word sense disambiguation) University of Sheffield, Computer Science Dept. Memoranda in Computer and Cognitive Science, CS-98-12. I. Dagan, A. Itai, Word-Sense disambiguation Using a Second Language Monolingual Corpus, Computational Linguistics, volume 20, n. D. Yarowsky, Word Sense Disambiguation, Using Statistical Models of Roget's Categories Trained on Large Corpora, Proceedings of Coling'92, Nantes, 1992. www.clsp.jhu.edu /ws2003/groups/sparse   (830 words)

Workshop 2003 - Semantic Analysis Over Sparse Data (the difference of POS and word sense disambiguation) University of Sheffield, Computer Science Dept. Memoranda in Computer and Cognitive Science, CS-98-12. D. Yarowsky, Word Sense Disambiguation, Using Statistical Models of Roget's Categories Trained on Large Corpora, Proceedings of Coling'92, Nantes, 1992. I. Dagan, A. Itai, Word-Sense disambiguation Using a Second Language Monolingual Corpus, Computational Linguistics, volume 20, n. www.clsp.jhu.edu /ws2003/groups/sparse   (830 words)

Workshop 2003 - Semantic Analysis Over Sparse Data (the difference of POS and word sense disambiguation) University of Sheffield, Computer Science Dept. Memoranda in Computer and Cognitive Science, CS-98-12. D. Yarowsky, Word Sense Disambiguation, Using Statistical Models of Roget's Categories Trained on Large Corpora, Proceedings of Coling'92, Nantes, 1992. I. Dagan, A. Itai, Word-Sense disambiguation Using a Second Language Monolingual Corpus, Computational Linguistics, volume 20, n. www.clsp.jhu.edu /ws2003/groups/sparse   (830 words)

Prof. Dr. Peter Lucko Home Page Focus: This seminar has two main objectives: (a) an introduction to Computer Corpus Linguistics, familiarizing participants with its theoretical background, with types of existing corpora of English and with software for their analysis (WordCruncher, WordSmith), and (b) comparative studies of corpora based on different varieties of English. Contrary to the wide-spread belief that professors may be (more or less) acceptable specialists in their fields but not really human in other respects, I have a wide range of interests apart from linguistics - - I love nature, music of all periods, science fiction and fantasy (greetings to all discworld fans!). Focus: Theoretical issues involved in studying the semantics of verb forms: cognitive, semantic and grammatical categories; the model of the privative binary grammatical category; the categories of tense, correlation and aspect; non-categorial means of expressing temporality, aspectuality and modality www2.rz.hu-berlin.de /angl/lucko/pnofr01s.html   (830 words)

A Linguistic Engineering Environment using LFG and CG In this paper, we will present first the syntactic analysis, based on a chart parser that uses a LFG grammar for French, and the semantic analysis, based on conceptual graphs. All these tools are complemented with graphic interfaces, allowing users outside the field of Computer Science to use them very easily. According to the principles of lexical functional grammars, the process of parsing a sentence is decomposed into the construction of a constituent parts structure (c-structure) upon which a functional structure is inserted. csli-publications.stanford.edu /LFG/2/briffault/briffault-lfg97.html   (3263 words)

Research A research and development project at Department of Computer Science supported by Institute of Economics Using semantic analysis systems for logistics purposes, a project with several logistics companies supported using of logic programming for semantic web concept implementation, supported by CyberArt Company kotel.port5.com /research.htm   (212 words)

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