Search Results for "artificial intelligence python" - Page 10
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Showing 294 open source projects for "artificial intelligence python"
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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G-Asks is a question generation system, developed by LATTE(Learning and Affect Technologies Engineering) research group at The University of Sydney. It uses Natural Language Processing techniques and Machine learning algorithms to generate specific trigger questions. If you use this software in a publication, please cite the paper 2. 1.Ming Liu and Rafael A. Calvo (2012) “Using Information Extraction to Generate Trigger Question for Academic Writing Support”, 11th International Conference...
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Infouma OS
Linux-Mint based Distro made for who works in the Digital Humanities.
Infouma OS is a Linux-Mint based Distro made for who works in the Digital Humanities. Web development, natural language processing, digital publishing and multimedial productivity. All included in this great distro. Infouma OS has a Beautiful design, and it is incredibly complete. Made by (info)humans to info(humans). -
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most-exploratory-search
Exploratory search with entailment and summarization
The BGU NLP project: http://www.cs.bgu.ac.il/~nlpproj/ -
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English-Khmer S. Machine Translation
English-Khmer Automatic Statistic Machine Translation (SMT)
Automatic Machine Translation from English to Khmer project is the first effort in Natural Language Processing field for translating English to Khmer (Cambodian) language. This project uses Domy CE, an open source SMT toolkit, for training parallel corpus and web technologies such as Python, Apache2, HTML, XML, and XSLT for developing web-based application. This project is developed by Ms. Kim Sokphyrum (DU) and Ms. Suos Samak (Jamia), under Supervision of Mr. Javier Sola, a Program... -
Dun and Bradstreet Risk Analytics - Supplier IntelligenceRisk, procurement, and compliance teams across the globe are under pressure to deal with geopolitical and business risks. Third-party risk exposure is impacted by rapidly scaling complexity in domestic and cross-border businesses, along with complicated and diverse regulations. It is extremely important for companies to proactively manage their third-party relationships. An AI-powered solution to mitigate and monitor counterparty risks on a continuous basis, this cutting-edge platform is powered by D&B’s Data Cloud with 520M+ Global Business Records and 2B+ yearly updates for third-party risk insights. With high-risk procurement alerts and multibillion match points, D&B Risk Analytics leverages best-in-class risk data to help drive informed decisions. Perform quick and comprehensive screening, using intelligent workflows. Receive ongoing alerts of key business indicators and disruptions.
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Redundancy due to cut-paste operations in text creates bias in machine learning for NLP. This module takes a directory and produces a subset of the files in that directory (in a list) with an upper bound on similarity between two files.
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romanize
Romanizing 9 Indian languages (Unicode) to English alphabets
This project is a step one in any NLP project. Romanization is normally done using ASCII and extended ASCII syllables, which is easy to process but difficult to work with. Romanize project converts the Indian languages in their unicode form to english alphabets. Compared to the existing schemes of romanizations, this project focuses on few main points - Readability, easy typability, English alphabet combinations only, incoporations with existing popular schemes, phonetically equivallent... -
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Be-project
Named Entity Identifier.
An NLP based domain specific Named Entity Identifier that uses supervised and semi-supervised learning techniques to make context based identification. -
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MadeNLP
Multi-agent Development Environment for Natural Language Processing
Multi-agent Development Environment for Natural Language Processing Java Based System Development framework -
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CRFSharp
CRFSharp is a .NET(C#) implementation of Conditional Random Field
CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking and so on. CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally... -
Most modern and flexible cloud platform for MLM companiesFor direct selling (MLM) companies, from startup to well established enterprises with millions of distributors across the world
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This project aims to build a suite of Natural Language Processing tools. Modules will include corpus indexing and access tools, a part-of-speech tagger, tokenisers, text classification software, etc.
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A multi-agent architecture for building interactive dramas. It uses the Jason's BDI engine, being the Jason's agent-oriented programming language utilized for performing the drama management and for authoring behaviors for the characters.
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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...
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A toolkit with using Suffix Array indexing for empirical natural language processing. Providing functions such as searching the occurrences of n-grams in the corpus and suffix array language model which can use arbitrarily long history.
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FemtoThnk models higher-level brain functions. It is an artificial intelligence model that includes features such as natural language processing (any ISO Latin alphabet), problem solving, dreaming, pattern sensing and hierarchical organization.
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The Wikipedia Miner toolkit provides simplified access to Wikipedia. This open encyclopedia represents a vast, constantly evolving multilingual database of concepts and semantic relations; a promising resource for nlp and related research.
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Web application to make user-friendly requests on large XML database. Tools to XML-ize large bodies of semi-formal texts (like floras). Computer-assisted specimen identification. Uses natural language processing, 2D/3D images analysis and generation.
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ParseManager is a tool which manages parses for natural language processing. It can create, modify and view parses.
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SlpTK is an ANSI C library, a set of utilities and scripts for natural language processing. It provides data structures and treatments related to lexical and grammatical levels.
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Sylli is a universal syllabifier. Developed for Italian, it can easily be adapted to any language that is claimed to respect the SSP. Sylli divides timit, strings, files and directories into syllables.
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Alkhalil Morpho Sys is a morphosyntactic parser of Arabic words. The system can process non vocalized texts as well as partially or totally vocalized ones. Our approach is based on modelling a very large set of Arabic morphological rules, and also on integrating linguistic resources, such as the root database, vocalized patterns associated with roots, and proclitic and enclitic tables. As an output of the analysis, we have a highly informative table mainly containing vocalization of the...
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The MOJO NLP platform is a set of tools designed to tackle Natural Language Processing challenges. This project includes MojoMapper, an automated medical concept identification system and MojoSpell, a spell checker to handle medical language.
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Clipsyll is a collection of scripts and programs for dowloading, codifying, analysing (using NLTK) CLIPS, the largest Italian corpus of spoken language. It includes a syllabification module based on the SSP: http://sourceforge.net/projects/silly
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Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part of speech tagging in Natural Language Processing. Several example applications using maxent can be found in the OpenNLP Tools Library.
