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Jiddu Krishnamurti's Book of Life|Libro de la Vida
FREE distribution of the JAVA-XML multiplatform e-book about Jiddu Krishnamurti's Book of Life (a witty daily cookie-like reflection). Ahora, lea diariamente los pensamientos de Krishnamurti en castellano- Obtenga una agenda gratis.
MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
D.U.C.K (Determine segmentation of Unknown words by using Context Knowledge)is an NLP tool, which aims to find the correct segmentation for unknown words in written Hebrew. Statistics from different scopes will be used to determine the segmentation.
Howe is a spoken dialogue system project designed for browsing instructions. The project serves as a base for research on new dialogue system capabilities.
VoxForge collects user-submitted speech audio files for the creation of Acoustic Models for Free and Open Source Speech Recognition Engines such as HTK, Julius, ISIP and Sphinx.
Paessler: Easy to Use With Enterprise Power. Free Trial
A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.
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Under development for Prof Stephen Hawking and people like him. With control of a single click only, the solution user should Type, Speak, and Command the computer. We want to expand beyond English and MS Windows to multiple languages, multiple platforms
Leo is a project to provide an architecture for defining XML
specifications of grammars for different natural language parsing
systems and tools for using that architecture to permit sharing of
grammar resources across different systems.
BioSap-Blast Integrated Oligonucleotide Selection Accelerator Package. BioSap selects unique oligos for microarrays by detecting user-defined parameters and running parallel instances of Featurama and Blast on compute engines, producing xml output files.