RSS 4 projects tagged "Apache 2.0"

No download Website Updated 01 Feb 2014 Apache UIMA DUCC

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Pop 75.50
Vit 1.00

Apache UIMA DUCC (Distributed UIMA Cluster Computing) is a cluster management system providing tooling, management, and scheduling facilities that automate the scale-out of applications written using the UIMA framework. Core UIMA provides a generalized framework for applications that process unstructured information such as human language, but does not provide a scale-out mechanism. UIMA-AS extends UIMA and provides a scale-out mechanism for distributing UIMA pipelines over a cluster of computing resources, but does not provide job or cluster management of the resources. DUCC extends UIMA-AS by defining a formal job model that closely maps to a standard UIMA pipeline. Around this job model DUCC provides cluster management services to automate the scale-out of UIMA pipelines over computing clusters.

Download No website Updated 24 Oct 2011 CSS Import Resolver

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Pop 17.66
Vit 1.00

CSS Import Resolver resolves the @import url(...); statements in input CSS files (by replacing the @import statement with the actual content of the linked CSS) and creates a huge CSS output (written to STDOUT by default). Including the combined CSS in your Web pages will improve the performance of a site by avoiding additional HTTP roundtrips.

No download No website Updated 23 Dec 2013 DKPro Core

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Pop 57.41
Vit 2.33

DKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework. Many powerful and state-of-the-art NLP components are already freely available in the NLP research community. New and improved components are being developed and released continuously. The components cover the whole range of NLP-related processing tasks. DKPro Core provides wrappers for such third-party tool as well as original NLP components. DKPro Core builds heavily on uimaFIT which allows for rapid and easy development of NLP processing pipelines.

No download Website Updated 10 Oct 2013 DKPro Similarity

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Pop 40.00
Vit 1.00

DKPro Similarity is a framework for text similarity. Its goal is to provide a comprehensive repository of text similarity measures which are implemented using standardized interfaces. The framework is designed to complement DKPro Core, a collection of software components for natural language processing (NLP) based on the Apache UIMA framework. DKPro Similarity comprises a wide variety of measures ranging from ones based on simple n-grams and common subsequences to high-dimensional vector comparisons and structural, stylistic, and phonetic measures. In order to promote the reproducibility of experimental results and to provide reliable, permanent experimental conditions for future studies, DKPro Similarity also comes with a set of full-featured experimental setups which can be run out-of-the-box and used for future systems to built upon.

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phpMyAdmin

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