Search Results for "artificial intelligence python" - Page 3
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Showing 61 open source projects for "artificial intelligence python"
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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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Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.
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Cunei is a data-driven machine translation system that builds dynamic, statistical models based on instances of known translations found in a corpus.
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Genie is a highly sophisticated cognitive child-machine. Genie at its core is an artificial intelligence project, focusing on creating a new form of life.
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Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.
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This project is a compilation of tools/libraries to help with tasks related to Text Analytics mainly in Java. These tools range from simple wrappers to sophisticated mining tasks that can improve the productivity of researchers and engineers.
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Maui is a multi-purpose automatic topic indexing algorithm. Given a document, Maui automatically identifies its topics. Depending on the task topics are tags, keywords, keyphrases, vocabulary terms, descriptors or Wikipedia titles.
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The Neurpheus Morphological Analyser performs morphological analysis, stemming or word form generation tasks using sophisticated classification methods for an analysis of words unseen in a training dictionary.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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AraRooter
Find Arabic Root Word
Using Machine Learning, AraRooter finds the three-lettered root of any Arabic lemma with around 84% accuracy. -
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Supertagger
Software for assigning supertags.
Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.
