Search Results for "http-client"
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Showing 7 open source projects for "http-client"
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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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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 -
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...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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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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ValiTerms
Validation of terms in corpus
ValiTerms is a tool that helps the validation of terms in corpus. It finds their occurrences and allows terminologists to choose if a term is relevant or not. ValiTerms is developed at LIPN (http://www-lipn.univ-paris13.fr), RCLN team. Please consult the wiki for instructions about installation and usage. -
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This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text. The method is based on SVM but other ML algorithms can be adopted. The method details are explained in the following paper: Ehsan Emadzadeh, Azadeh Nikfarjam, and Graciela Gonzalez. 2011. ...
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