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SenseBot - semantic search engine

SenseBot - semantic search engine

Related:  Search EnginesContextual/Semantic Search Engines

Clustering Engine Carrot2 Search Results Clustering Engine Carrot2 organizes your search results into topics. With an instant overview of what's available, you will quickly find what you're looking for. Choose where to search: Type your query: Ralph Debusmann - Extensible Dependency Grammar (XDG) Extensible Dependency Grammar (XDG) is a general framework for dependency grammar, with multiple levels of linguistic representations called dimensions, e.g. grammatical function, word order, predicate-argument structure, scope structure, information structure and prosodic structure. It is articulated around a graph description language for multi-dimensional attributed labeled graphs. An XDG grammar is a constraint that describes the valid linguistic signs as n-dimensional attributed labeled graphs, i.e. n-tuples of graphs sharing the same set of attributed nodes, but having different sets of labeled edges.

30 Specialist (and Super Smart) Search Engines Google is widely (and rightly) recognised as the mother of all search engines. But, if you need to drill down your searches by more specific details, do you trust Google to give you what you need every single time? Here’s a collection of 3o vertical search engines which you should have up your sleeve when you need some specialist power. Watson Semantic Web Search This is the Watson Web interface for searching ontologies and semantic documents using keywords. This interface is subject to frequent evolutions and improvements. If you want to share your opinion, suggest improvement or comment on the results, don't hesitate to contact us ... At the moment, you can enter a set of keywords (e.g.

Topsy - Instant social insight With iOS 9, Search lets you look for content from the web, your contacts, apps, nearby places, and more. Powered by Siri, Search offers suggestions and updates results as you type. There are two ways to use Search on your iOS device. GAJIT This page is for a mini-project I undertook when I had a spare moment or two to port the C++ based genetic algorithm library GAGS to Java. GAJIT (Genetic Algorithm Java Implementation Toolkit) is a rather contrived name for a simple set of classes that I wrote to experiment with genetic algorithms. I became interested in genetic algorithms and wanted to experiment with them. Distributed search engine A distributed search engine is a search engine where there is no central server. Unlike traditional centralized search engines, work such as crawling, data mining, indexing, and query processing is distributed among several peers in a decentralized manner where there is no single point of control. History[edit] InfraSearch[edit]

Speech Recognition By Java - Simplified | Osama Oransa's Blog Speech recognition is one of the challenging areas in computer science, a lot of pattern recognition methodology tried to resolve a good way and higher percentage of recognition. One of the best ways to be use is Hidden Markov Model : "The process of speech recognition is to find the best possible sequence of words (or units) that will fit the given input speech. It is a search problem, and in the case of HMM-based recognizers, a graph search problem. The graph represents all possible sequences of phonemes in the entire language of the task under consideration.

Top 7 Semantic Search Engines As An Alternative To Google There’s no denying the power and popularity of the Google search engine, and in comparison to other similar search engines such as Bing, where results are based on page rankings and algorithms, they excel. But there are other ways to search the web, using what are known as semantic search engines. Using a semantic search engine will ensure more relevant results based on the ability to understand the definition of the word or term that is being searched for, rather than on numbers.

By Request - Good Alternatives to Google Image Search This morning I received an email from a reader that has been frustrated by the results her students are getting when they search on Google Images. Rather than relying on the filters on Google Images to generate good results for students, give one of these other sources of images a try. The Morgue File photo collection contains thousands of images that anyone can use for free in academic or commercial presentations. The image collection can be searched by subject category, image size, color, or rating. You will find a mix of images that don't require attribution along with some that do require attribution so pay attention to the labels that come with each picture.

Linguist List | Web Resource Listings Software: Computer Aided Translation ·Computer Assisted Translation: STAR Transit XV is a CAT tool that uses a translation memory to speed up and improve the quality of the translation process. Other products of the STAR family are TermStar and WebTerm. TermStar is an extremely scalable solution that can be used on a single user desktop, on an enterprise database server such as Oracle, Sybase or MS-SQL, or on a Web Server. WebTerm allows to create and update enterprise-related terminology over the corporate intranet or the Web using a Web browser. ·Electronic dictionaries for Windows Polyglossum v. 3.52: More than 200 dictionaries data bases for Polyglossum dictionary program: common lexical dictionaries and sector-specialized dictionaries.

OpenNLP Developer Documentation To explain what maximum entropy is, it will be simplest to quote from Manning and Schutze* (p. 589): “ Maximum entropy modeling is a framework for integrating information from many heterogeneous information sources for classification. The data for a classification problem is described as a (potentially large) number of features. These features can be quite complex and allow the experimenter to make use of prior knowledge about what types of informations are expected to be important for classification. Each feature corresponds to a constraint on the model. We then compute the maximum entropy model, the model with the maximum entropy of all the models that satisfy the constraints. This term may seem perverse, since we have spent most of the book trying to minimize the (cross) entropy of models, but the idea is that we do not want to go beyond the data.

Part-of-speech tagging Once performed by hand, POS tagging is now done in the context of computational linguistics, using algorithms which associate discrete terms, as well as hidden parts of speech, in accordance with a set of descriptive tags. POS-tagging algorithms fall into two distinctive groups: rule-based and stochastic. E. Brill's tagger, one of the first and most widely used English POS-taggers, employs rule-based algorithms. Principle[edit]

Semantic network History[edit] Example of a semantic network In 1909, Charles S. Peirce proposed a graphical notation of nodes and edges called "existential graphs" that he called "the logic of the future".

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