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Showing 11 open source projects for "information"
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SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
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CallShaper is a call center software and Predictive dialer designed to help reduce costs and increase ROI for Call Centers. CallShaper partners with businesses to maximize contacts, track the performance of agents, manage leads, telemarketing, and sales processes. The drag-and-drop interactive voice response (IVR) editor allows managers to transfer calls to third-party stakeholders and other recipients based on agents' availability, time, or type.
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The goal of this project is to investigate optimal ways to do genre classification for the ten indigenous South African languages. Funded by Dept of Arts and Culture of the SA Government. http://www.trifonius.co.za/projects/genre-classification
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KH Coder
Quantitative Content Analysis or Text Mining
************************************************************ THIS PROJECT IS MOVED. See http://khcoder.net/en for the latest & greatest. You can download this tool from the new home. See you there! ************************************************************ -
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BioC
We describe a simple XML format to share text documents and annotation
A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are interested in... -
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ElixirFM
Functional Arabic Morphology
ElixirFM is a high-level implementation of Functional Arabic Morphology. The core of ElixirFM is written in Haskell, while interfaces in Python and Perl support lexicon editing and other interactions. http://github.com/otakar-smrz/elixir-fm -
Automate marketing campaigns, boost your brand awareness, capture and convert more leads, all in ONE intuitive platform.
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Encode Arabic provides tools for encoding and decoding Arabic in Haskell, Python, Perl, or LaTeX. Interprets the ArabTeX notation to generate original orthography or phonetic transcription. Supports Buckwalter and other romanizations. Converts legacy byte encodings into Unicode. http://github.com/otakar-smrz/encode-arabic
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Part-of-speech tagging is the task of assigning symbols from a particular set to words in a natural language text. ACOPOST implements and extends well-known machine learning techniques and provides a uniform environment for testing.
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This project concerns the development of human language technology resources, based on the approach to share or recycle resources between closely related language. http://gerhard.pro/closely-related-languages/
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Perstem is a Persian (Farsi) stemmer, morphological analyzer, transliterator, and partial part-of-speech tagger. Inflexional morphemes are separated or removed from their stems. Perstem can also tokenize and transliterate between various character set encodings and romanizations.
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The Parenthesis Classifier takes the contents of a set of parentheses and classifies it into one of several categories. It includes a parenthesized-data extractor and the classifier.
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Collect, measure, and share investor-grade data on your corporate environmental, social and governance (ESG) performance and efforts towards set KPIs.
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The Simple Semantic Classifier classifies short chunks of natural language text into broad semantic classes that correspond to the OBO ontologies provided as input.
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Based on the Buckwalter Morphological Analyzer (Version 1.0) for doing Arabic stemming and POS tagging. Includes a rewrite of the original Perl script, with better documentation and more flexible options, and a C++ interface (usable as a library or app).
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