Search Results for "artificial intelligence projects in java"

Google2SRT allows you to download, save and convert multiple subtitles and translations from YouTube and Google Video to SubRip (.srt) format, which is recognized by most video players. You can download XML subtitles or simply type video's URL, Google2SRT will do the rest.

This tool allows the user to annotate by coloring portions of the text. This can be seen as a simple model of annotation. This tool has been built to complete particular experimentation on student behavior (annotation per example) facing particularly difficult content. We put it here as an open-source project.

AlizaGameAPI is a robust, open-source Java-based framework designed to streamline and enhance the development of 2D and 3D games. It offers a comprehensive set of tools, utilities, and libraries, empowering developers to create immersive and dynamic gaming experiences with ease. Key Features: Modular Architecture, Rich Graphics and UI Components, Comprehensive Game Logic and Character Management, Environment and World-Building Tools, Statistical and Mathematical Utilities, Enhanced Debugging...

A GUI-based text annotation tool for creating and visualizing annotations. It uses a flexible stand-off XML data format, and has advanced and customizable methods for information and relation visualization.

Blunder is an automated tool for analyzing chained exceptions in Java. It's usefull for classify, generate a customized error message and a list for possible solutions.

VINE is a vocabulary Integration Environment Tool, developed at MMI. It allows to create fast mappings and alignments from ontologies in OWL. VOC2OWL is a tool to create ontologies from ASCII files. They are both JAVA based and are delivered as a Rich Cl

Scan, the Semantic Content ANnotator, is a semantic pipeline that helps connecting information extraction tools to semantic database. UIMA-based, it allows easy plugin-writing: information extraction, ontology control, store in RDF Repositories.

The aim of MIEX (Metadata and Information Extractor from small XML documents) is to create a wrapper for the Stanford Parser, to extract and store metadata (syntactic structures, relationships among words...) from simple XML documents.

The Jorne project develops software and open standards for linking Lojban text with WWW and Semantic Web metadata (e.g. RDF/N3, RSS, XML). Lojban is an artificial spoken and written language based on predicate logic.