Search Results for "data matching"

... of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism. Stanza is built with highly accurate neural network components that also enable efficient training and evaluation with your own annotated data.

QST, the worlds unparalleled open source online/lan assessment software. From a quick quiz on your phone to very large scale, high stakes, proctored desktop testing, we make it easy/secure/economical. Our intuitive design contains features (Immediate detailed results, Create/Export/Import/Convert Questions, WYSIWYG/Math-Chemistry/Basic Editors, Question/Item Bank, Multiple Question Types, Multiple Delivery Styles, Multiple Delivery/Results Options, Adaptive/Branching Questions, Randomly...

A Smith charting program. You can enter either discrete components or transmission lines, see the results on screen and/or generate Postscript output. Component values can be changed numerically or using scrollbars.

... VerbalExpression() syntax in ES6 classes as mandated by the spec. You usually wouldn’t need to call VerEx().constructor(). This method will not be accessible from outside the source file since VerEx() returns an instance of the class rather than the class itself. sanitize is a static method on the VerbalExpression class. However, it is also exposed as VerEx().sanitize. Enabling control multi-line matching would cause the expression to not look for matches beyond the first line.

... defined (Moodle matching answer format), or to supply the term corresponding to the given definition (Moodle short answer format). Short answer, matching answer and multiple-choice type quizzes can also be generated from tables of question/answer data, with customized feedback for individual responses if required.

S-Match is a semantic matching framework. S-Match takes any two tree like structures (such as database schemas, classifications, lightweight ontologies) and returns a set of correspondences between those tree nodes which semantically correspond to one another. S-Match contains implementations of the semantic matching, minimal semantic matching and structure preserving semantic matching algorithms. S-Match applies as a solution in many fields, including: information integration...