Search Results for "context-shredder"

Custom add-in (MDG technology) for Sparx Systems Enterprise Architect UML modelling tool (https://sparxsystems.com/products/ea/index.html) to create architecture descriptions using TRAK https://sf.net/projects/trak Provides: - the set of TRAK views that can be represented using UML and SysML . Each view display a custom toolbox palette with the objects and relationships that are needed for that TRAK view - relationships can be made directly from the objects on a view using the...

...Its dictionaries are based on Korean Modern Tagged Corpus(12 million phrases scale) which was made by Korean government. So it analyses many cases of stems and endings. And the newly developed Dynamic Dictionary Technology can make words to react with their context. That is, a programmed database. For more information see the files in the help folder.

Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.

D.U.C.K (Determine segmentation of Unknown words by using Context Knowledge)is an NLP tool, which aims to find the correct segmentation for unknown words in written Hebrew. Statistics from different scopes will be used to determine the segmentation.

A platform for setting up autonomic services in a distributed environment. Provides service discovery, service provisioning / usage, autonomic adaptation to the context, mobility, support for supervision and service aggregation, and more.

SIRS stands for "Smart Indicators for Reflection Support". SIRS is a framework for developing Indicators on top of sensor networks in web-based and ambient environments for data aggregation, information visualization and context adapation.

The Open Context Platform (OCP) is a middleware for building distributed, context-aware applications, is implemented in Java and allows to manage some contextual sources. Manage models ontology written in owl.

Easy-to-use platform-independent plugin API for the extraction of low-level features from audio data in PCM format, as required in the context of music information retrieval software.

Genetic programming environment to inference context free grammars base on positive and negative examples of language.

Kriterion is a document retrieval and categorization engine capable of full text searching. There is no need for keyword or context-based information.

It is an universal language translator and written in Java. All languages are translated to an unique language (interlingua) and generate any native language from the interlingua. The wordbooks are XML. It use the context of a text, rules and a grammar.

An open source implementation of a Context Management Architecture for integrating a variety of distributed applications that need to share a context.

A ContextTree is a way of dynamically forming relationships between information: the same information can be viewed in different ways, depending on what you want from it.

UIMA-compliant text analytics using a rule language in which to express context-sensitive constraints on syntactic and semantic text elements.

The project is investigating the use of sensor information to be used in context aware applications.

SAAT Semi-Automated Annotation Tools The Medical University Graz, in cooperation with the Fraunhofer Institute for Biomedical Engineering IBMT is developing the SAAT - Semi-Automated Annotation Tools in the CRIP context.

MicMac is a software for solving image matching problems, specially those arising in geographic context. It is highly customizable at the algorithmic level and for the data input (image format and geo-localization).

tokyosh is a new kind of login shell. it knows user's context or other environment, and statistically learns command-line input or command usage tendency, user-space-file-name tendency(and anything else). of course it's been developing in Tokyo.

...The meteorological servers can be accessed for climate data.This server-client architecture mandatory in present and even near-future circumstances as the client machine has to be low-power and low-cost for the feasibility of the system in Indian context. Therefore, the complex analysis (Expert system analysis in accordance with world-wide data) has to be done on server. The environment data is collected via sensors is uploaded to the website