Displaying 1 to 12 from 12 results

Julius - Large Vocabulary CSR Engine

  •    C

"Julius" is a high-performance, two-pass large vocabulary continuous speech recognition (LVCSR) decoder software for speech-related researchers and developers. Based on word N-gram and context-dependent HMM, it can perform almost real-time decoding on most current PCs in 60k word dictation task.

Vocabulary Training Center

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SharpVTC (VTC=Vocabulary Training Center) is a tool for learning vocabulary. By using SharpVTC, students can create vocabulary collections, structure their content based on different contexts and run vocabulary tests. SharpVTC is developed in C#.

miniTeach

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miniTeach is the mobile version of Teach2000 - train your vocabulary on the road with miniTeach and your mobile phone. All you need is a Smartphone or PocketPC with Windows CE. You have an iPhone, iPod Touch or iPad? Check out the AppStore!

MyVocabulary

  •    CSharp

Use MyVocabulary to structure and test the: - words, - expressions and - the verb conjugations that you want to learn in a foreign language. This is a .net 3.5 windows forms application developed in C# that works on Windows XP/Vista/7.




schema-generator - PHP Model Scaffolding from Schema.org vocabulary

  •    PHP

Schema.org is a vocabulary representing common data structures and their relations. Schema.org can be exposed as JSON-LD, microdata and RDFa. Extracting semantic data exposed in the Schema.org vocabulary is supported by a growing number of companies including Google (Search, Gmail), Yahoo!, Bing and Yandex. Data models provided by Schema.org are popular and have proved efficient. They cover a broad spectrum of topics including creative work, e-commerce, event, medicine, social networking, people, postal address, organization, place or review. Schema.org has its roots in a ton of preexisting well designed vocabularies and is successfully used by more and more websites and applications.

bookmarker - A personal project to help me retain information from books

  •    HTML

A personal project to help me retain information from the books I'm reading. Currently only supports a single user, but I plan to extend it to support multiple users eventually.

skosprovider - A python abstraction for SKOS vocabularies

  •    Python

This library helps abstract vocabularies (thesauri, controlled lists, authority files). It depends heavily on the SKOS specification, but adds elements of other specifications such as the ISO 25964 SKOS extension where deemed useful. More information about this library can be found in docs. The docs can be built using Sphinx.


atramhasis - An online SKOS editor

  •    Python

Atramhasis is an online SKOS editor. This webapplication enables users to create SKOS vocabularies consisting of Concepts and Collections. It tries to stay close to the SKOS specification. This makes it suited for different types of vocabularies such as simple pick lists, authority files, flat lists and basic to relatively complex thesauri. Atramhasis is not suited for managing very large or complex thesauri such as the AAT.

opentrack-cg - Repository for OpenTrack Community Group

  •    HTML

This is the repository for the W3C OpenTrack Community Group to develop and document specifications and code related to OpenTrack, a set of tools to increase interoperability among systems managing information on athletics and sports in general. OpenTrack includes schemas and vocabularies to describe sports, as well as open source software that helps managing that kind of information. Through OpenTrack athletics entities around the world (sport clubs, federations, private event organizers, etc.) will be able to open the data contributing towards open data in sports. This will bring new business opportunities to third parties (developers, public bodies, private companies, citizens, academia).

data-models - Collection of various biomedical data models in parseable formats.

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Data models and vocabularies in the biomedical space. Data model descriptions are stored persistently in this repository in CSV format for portability and human readability. Each data model has its own directory with versions of the model in subdirectories. Each version directory has a datamodel.json file that holds metadata about the datamodel and version, so as not to rely on directory structure for interpretability. In fact, this file and a collection of CSV files with the below described header signatures is enough to signal that a data model definition exists. However, the organization and naming conventions presented below have been useful in our initial data model definitions.





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