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Topic: Semantic analysis

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Intermediate language generation

Incremental compiler

Code generation

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Programming language

Lexical analysis

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List of important publications in computer science

	Semantic
		Semantic is an infrastructure for parser based text analysis in Emacs.
		Semantic's goal is to provide an intermediate API for authors of language agnostic tools who want to deal with languages in a generic way.
		Tools writing to the Semantic API may need to change when moving from 1.4 to 2.0, but the confusion as to what a token or nonterminal is will now be clear.
	cedet.sourceforge.net /semantic.shtml (887 words)

	CS 4304 - Compilers and Translators - Semantic Analysis (Site not responding. Last check: 2007-10-13)
		Otherwise the semantic element tends to be a collection of hand-written routines that insert into the parsed code the necessary semantic information.
		Note that the semantic module is the final element in the "front end" of the compiler, and the last portion that is language dependent.
		Among the methods of semantic analysis is Attribute Grammars.
	ei.cs.vt.edu /~cs4304/semantics.html (147 words)

	8. Basic Processing in Ontological Semantic Text Analysis (Site not responding. Last check: 2007-10-13)
		The proclaimed goal of ontological semantics as applied to text analysis is to input a text and output a formal expression which is declared to be its meaning representation.
		The task of syntactic analysis in ontological semantics is, essentially, to determine clause-level dependency structures for an input text and assign syntactic valency values to clause constituents (that is, establish subjects, direct objects, obliques and adjuncts).
		In both cases, the semantics of the event realized by the verb, either elided or unattested, is determined, to the degree possible, by the constraints on the content of the inverse case role properties (theme-of, instrument-of, agent-of, etc.) in the meanings of the arguments of these verbs.
	ilit.umbc.edu /Book/processing.htm (16551 words)

	SIL Bibliography: Semantic structure analysis
		A semantic analysis of the adnominal genitive construction in James.
		A semantic and structural analysis of the Johannine epistles.
		A semantic and structural analysis of 1 Thessalonians.
	www.ethnologue.com /show_subject.asp?code=SSA (236 words)

	Latent Semantic Analysis
		Latent Semantic Analysis (LSA) which is a mature methodology and provides a hierarchy of words that are most linked in each article (item) and which identifies these word concepts in a ranked form showing the extent to which each concept is significant with each other within the text.
		Because the concepts are derived by Latent Semantic Analysis (LSA) they identify a perception of the most significant concepts associated with an actor in an item and they conform to the Model when concepts are regarded as tokens associated with the actor in the text.
		In the analysis this provides data in a database of all tokens that are directly attributed to the actor and secondarily through association in the article via another actor.
	www.managementclarity.com /lsa.htm (4210 words)

	Semantic Analysis
		Semantic analysis is the task of decorating the abstract syntax tree with identifier bindings and type information, and verifying the context conditions specified by the language definition.
		The semantics of most programming languages rest on a well-understood set of concepts that have been refined over the years and used in various combinations.
		There are examples of the use of the modules both in the description of basic scope rules and in the name analysis tutorial.
	goanna.cs.rmit.edu.au /~waite/HW/semant.html (3144 words)

	@semantics weblog: Latent Semantic Analysis (LSA)
		LSA extracts the semantic similarity between words as well as between documents based on contextual usage of words in documents as represented by a word-by-document matrix whose entries are frequency counts to begin with.
		This then allows one to compute semantic similarity between any two words or documents by calculating the cosine measure between their vectors.
		Here it is used to capture the semantic fabric of spoken document and thus reduce the word error rate.
	blog.asemantics.com /archives/000012.html (469 words)

	Semantic analysis (Site not responding. Last check: 2007-10-13)
		In computer science, semantic analysis is a pass by a compiler that adds semantical information to the parse tree and performs certain checks based on this information.
		It logically follows the parsing phase, in which the parse tree is generated, and logically precedes the code generation phase, in which executable code is generated.
		---- 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.
	semantic-analysis.iqnaut.net (208 words)

	Global IDs Semantic Analysis Agents (Site not responding. Last check: 2007-10-13)
		Semantic Analysis Agents are specialized Data Profiling Agents that can identify a table of data as belonging to a particular data object.
		Semantic Analysis agents are chained with the following types of agents to determine the semantics metadata associated with a table or column.
		A large number of Semantic Analysis Agents, acting in parallel, can provide a detailed understanding of the table level semantic metadata of the enterprise data landscape.
	www.globalids.com /Semantic_Analysis_Agents.html (92 words)

	SEMANTIC ANALYSIS OF ECONOMIC SURVEYS
		The analysis is composed of two phases : the first one is syntactico-semantic and builds a conceptual representation of the sentence content according to the conceptual graphs formalism.
		Besides, a computer analysis ensures that the whole texts are processed with the same "level of attention", which is not achieved in the case of human reading.
		Then an interpretation phase, based on semantic and pragmatic criteria, leads to the final semantic network composed of economic events and causal relations, which is supplied to the generation module.
	www.hds.utc.fr /~ptrigano/planes.html (4703 words)

	The case for Semantic Analysis \| Lambda the Ultimate
		From a PL-support perspective, it seems like this semantic analysis technique would be made more tractable by having provision for adding (statically-checkable) contracts (ala SPARK Ada or ESC2/Java) to the source code.
		That would permit the use of semantic analysis to ensure that individual contracts for low-level routines are fulfilled, and compositional reasoning on contracts to ensure that high-level safety specs are met.
		Similarly, you might have post-conditions on the functions that provide values for x and y, and use semantic analysis to ensure that those post-conditions are met.
	lambda-the-ultimate.org /node/1474 (777 words)

	Due Diligence (Site not responding. Last check: 2007-10-13)
		Latent semantic analysis (or indexing) is an application of what's called principal components analysis (PCA), or factors analysis, to the domain of information organization.
		Latent Semantics was invented at Bellcore in late 1980s, by an All-Star information science team including Tom Landauer, George Furnas, and Sue Dumais.
		The simplest approach is to use a related factor analysis technique to find the best fit to predicting spam/not-spam in a training sample; it's not a full PCA but I suppose you could call it latent semantics.
	www.pacificavc.com /blog/2003/02/10.html (1443 words)

	Text Analysis and Semantic Analysis explained
		To process a Text analysis, the software carries out a complex work aiming at assigning all the significant words by means of problem-solving, Fuzzy logic, Artificial Intelligence and statistical algorithms,...
		Semantic analysis: Solve language ambiguities, optionally using a specific dictionary (thesaurus or semantic network).
		Note well that all software do not carry out a lexical or semantic analysis, that is not always necessary for very simple tasks (like Keywords extraction), but these functions are on the other hand essential if you want to obtain relevant classifications or use these software as pertinent automatic productivity tools.
	www.textengines.com /analysis/analysis1.htm (262 words)

	Semantic Wave: Analysis of an Artificial Meme
		More interesting than the graphical depiction of the meme spread was his discussion of the problem of isolation and identification of instances.
		Any meme propagation analysis in the blogosphere should take into consideration its content and the nature of its mutations, which are fundamentally intertwined.
		Greg Tyrelle has posted his analysis of Nova Spivak's first meme propagation test: GoMeme 1.0.
	www.semanticwave.com /blog/archives/000160.jsp (552 words)

	ESWC 2006 Semantic Network Analysis Workshop (Site not responding. Last check: 2007-10-13)
		The semantic web provides an additional aspect to SNA on the Web as it distinguishes between different kinds of relations, allowing for more complex analysis schemes.
		Our aim is to bring together the semantic web community, the SNA community, and the Web 2.0 community, in order to increase collaboration and exchange of experiences.
		Besides analysing social networks and cooperative structures within the (semantic) web, our second aim is to exploit the results for supporting and improving communities in their interaction.
	www.kde.cs.uni-kassel.de /ws/sna2006 (729 words)

	Semantic Analysis (Site not responding. Last check: 2007-10-13)
		As the third step in the construction of your compiler for MINI-L you are to write semantic routines that construct and use the symbol table, and manipulate the semantic stack and generate a parse tree.
		During semantic analysis, your program should also check the correctness of the declarations, using the information in the symbol table.
		Hint: use a semantic stack into which something is pushed each time a nesting level (IF, etc.) is entered and popped when the end of the construct is reached.
	www.cs.pitt.edu /~bigrigg/cs1622/proj/proj4.html (224 words)

	Semantic analysis of IT Toolbox
		Semantic analysis of web content is a whole lot more fun than what I have been writing about over the last couple of days.
		On the other hand, what we all type into our blogs and comments is perfect for this kind of analysis and research into the points of similarity and points of divergence between the data segments.
		Semantic analysis of various words and their constructs around them really does provide some neat data about the interrelationships of randomized data.
	blogs.ittoolbox.com /security/dmorrill/archives/semantic-analysis-of-it-toolbox-11640?rss=1 (786 words)

	InfoVis CyberInfrastructure- Latent Semantic Analysis
		Latent Semantic Analysis (LSA) can be applied to induce and represent aspects of the meaning of words (Berry et al., 1995; Deerwester et al., 1990; Landauer and Dumais, 1997; Landauer et al.,1998).
		LSA is a variant of the vector space model that converts a representative sample of documents to a term-by-document matrix in which each cell indicates the frequency with which each term (rows) occurs in each document (columns).
		LSA extends the vector space model by modeling term-document relationships using a reduced approximation for the column and row space computed by the singular value decomposition of the term by document matrix.
	iv.slis.indiana.edu /sw/lsa.html (1985 words)

	UCREL Semantic Analysis System (USAS)
		The semantic tagset used by USAS was originally loosely based on Tom McArthur's Longman Lexicon of Contemporary English (McArthur, 1981).
		In proceedings of the Workshop on Multiword Expressions: Analysis, Acquisition and Treatment, at ACL 2003, 41st Annual Meeting of the Association for Computational Linguistics, Sapporo, Japan, July 12, 2003, pp.
		In proceedings of the workshop on Beyond Named Entity Recognition Semantic labelling for NLP tasks in association with 4th International Conference on Language Resources and Evaluation (LREC 2004), 25th May 2004, Lisbon, Portugal, pp.
	www.comp.lancs.ac.uk /ucrel/usas (1249 words)

	3.8 Semantic Analysis
		By default, the semantic analysis is restricted to scalar integer variables as they are key variables to understand scientific code behavior.
		The analysis is thus limited to constant propagation for character strings and floating point values whereas integer and boolean variables are processed with a relational analysis.
		The risk is to increase significantly the number of overflows encountered during the analysis.
	www.cri.ensmp.fr /pips/properties-rc/node21.html (1023 words)

	Getting started with Tropes Semantic Analysis
		The main analysis results are displayed on the left of the screen, while the text extracts and graphs are shown on the right.
		The display of the References and of their Relations brings you to the heart of the discourse: all the actors, objects, things and concepts presented in the text will appear before you in decreasing order of importance.
		Tropes enables you to create your own semantic classification (called Scenario) regarding substantives (References), verbs or adjectives, and so to personalize and/or expand the software’s dictionaries according to your analysis strategy.
	www.semantic-knowledge.com /doc/V62/text-analysis/quick-guide.htm (717 words)

	Latent semantic analysis - Wikipedia, the free encyclopedia
		The probabilistic model of LSA does not match observed data: LSA assumes that words and documents form a joint Gaussian model (ergodic hypothesis), while a Poisson distribution has been observed.
		Indexing by Latent Semantic Analysis, by S. Deerwester, S.
		Probabilistic Latent Semantic Analysis, by T. Hofmann, Proc.
	en.wikipedia.org /wiki/Latent_semantic_indexing (1310 words)

	Semantic Analysis
		Principia Cybernetica proceeds from the assumption of the early systemists, that a primary purpose of Cybernetics and Systems Science is to move towards the unification of science, in part (but only in part) through terminological unification and reduction.
		To that end, a primary purpose of Principia Cybernetica will be to perform semantic analysis on terms and concepts through the explication of their various senses in the context of their historical development.
		It is intended to identify synonyms, perhaps adopting a single term to replace anachronistic, specialized, or otherwise obsolete usages from the family of terms.
	pespmc1.vub.ac.be /SEMANAL.html (489 words)

	Semantic Analysis and Expansion (Site not responding. Last check: 2007-10-13)
		Given that code generation requires that such fragments carry all semantic attributes, every expansion activity must be followed by additional semantic processing on the generated tree.
		The expansion of the operation results in the generic instantiation (and corresponding analysis) of this generic procedure.
		Thus the library manager, the parser, and the semantic analyzer can be activated from within semantic analysis (note the backward arrows in figure 2).
	www.cs.wm.edu /gnatdoc1/node7.html (216 words)

	Probabilistic Latent Semantic Analysis - Hofmann (ResearchIndex) (Site not responding. Last check: 2007-10-13)
		Abstract: Probabilistic Latent Semantic Analysis is a novel statistical technique for the analysis of two--mode and co-occurrence data, which has applications in information retrieval and filtering, natural language processing, machine learning from text, and in related areas.
		Compared to standard Latent Semantic Analysis which stems from linear algebra and performs a Singular Value Decomposition of co-occurrence tables, the proposed method is based on a mixture decomposition derived from a latent class...
		555 Indexing by latent semantic analysis - Deerwester, Dumais et al.
	citeseer.ist.psu.edu /hofmann99probabilistic.html (472 words)

	Semantic Feature Analysis Graphic Organizer Printouts - EnchantedLearning.com
		Semantic Feature Analysis charts are used to examine the similarities and differences of a group of items, people, events etc. This type of chart is often used to compare and contrast characteristics and for simple logic puzzles.
		For example, a Semantic Feature Analysis chart can be used to compare the care necessary for various pets (see the chart on the right).
		Or this type of chart can be used to compare and contrast the major features of plant and animal cells.
	www.enchantedlearning.com /graphicorganizers/sfa (375 words)

	Indexing by Latent Semantic Analysis - Deerwester, Dumais, Furnas, Landauer, Harshman (ResearchIndex)
		Indexing by Latent Semantic Analysis - Deerwester, Dumais, Furnas, Landauer, Harshman (ResearchIndex)
		The approach is to take advantage of implicit higher-order structure in the association of terms with documents ("semantic structure") in order to improve the detection of relevant documents on the basis of terms found in queries.
		The particular technique used is singular-value decomposition, in which a large term by document matrix is decomposed into a set of ca 100 orthogonal factors from which the original matrix can be...
	citeseer.ist.psu.edu /deerwester90indexing.html (517 words)

	References to Papers on LSI
		Latent Semantic Indexing (LSI) is a novel information retrieval method developed at Telcordia that improves your ability to find relevant information.
		Landauer, T. and Littman, M. "Fully automatic cross-language document retrieval using latent semantic indexing." In Proceedings of the Sixth Annual Conference of the UW Centre for the New Oxford English Dictionary and Text Research, pp.
		Story, R. "An explanation of the effectiveness of latent semantic indexing by means of a Bayesian regression model".
	lsi.argreenhouse.com /lsi/LSIpapers.html (839 words)

	ResourceShelf » Citation Analysis and Semantic Blogging
		Btw, citation analysis is mentioned in the Brin/Page paper, The Anatomy of a Search Engine.
		Blogging is a lightweight web publishing paradigm which provides a very low barrier to entry, useful syndication and aggregation behaviour, a simple to understand structure and decentralized construction of a rich information network.
		Semantic blogging builds upon the success and clear network value of blogging by adding additional semantic structure to items shared over the blog channels.
	www.resourceshelf.com /2004/05/06/citation-analysis-and-semantic-blogging (438 words)

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