Search Results for "text" - Page 4

Java application for training and deploying text processing applications such as part-of-speech taggers, based on a re-implementation of Brill's algorithm in Java.

TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml

LynxSight mobile is an android application that serves as OCR assistant. Application scans pictures taken by camera for text and reads it to user. LynxSight mobile is designed for use by visually impaired people. It contains voice assistant, voice commands and simple UI to make using easier.

The Word Problem Solver is a program that is able to solve math word problems like they are teached in the first four classes in primary school. Currenty the program is restricted to math word problems that are presented in german language.

CoGrOO (A LibreOffice & OpenOffice.org Grammar Checker), the only open source Portuguese grammar checker that can be used with LibreOffice & OpenOffice.org.

It provides an interactive speech to text application that uses sphinx 4. With this you can use pre-recorded audio, record your own voice and convert incompatible audio/video to be compatible with sphinx 4. It currently supports U.S English by using hub4 acoustic and language model.

CoffeeMudForAI is part of the Mud AI platform project. A MUD(multi user dungeon) is text base environment. Think World of Warcraft(or any other massively multiplayer online game) but text based. AI or artificial intelligence is the field that is interested in the creation of non-organic intelligence. Mud AI platform goals 1. To provide a platform for AI research that has robotic-like sensory limitations but doesn't actually require robotics. 2.

The Information Extraction Plugin allows the use of information extraction techniques within RapidMiner. It can be seen as an interface between natural language and IE- or datamining-methods, by extracting interesting information out of documents.

G-Asks is a question generation system, developed by LATTE(Learning and Affect Technologies Engineering) research group at The University of Sydney. It uses Natural Language Processing techniques and Machine learning algorithms to generate specific trigger questions. If you use this software in a publication, please cite the paper 2. 1.Ming Liu and Rafael A. Calvo (2012) “Using Information Extraction to Generate Trigger Question for Academic Writing Support”, 11th International Conference...

Carafe is an implementation of Conditional Random Fields and related algorithms targeted at text processing applications. The latest version, jCarafe, is implemented in Scala and runs on the JVM.

DBpedia Spotlight is a tool for annotating mentions of DBpedia resources in natural language text. The source code is now hosted on GitHub: https://github.com/dbpedia-spotlight

The Deep Email Miner Application is a software solution for the multistaged analysis of an Email Corpus. Social network analysis and text mining techniques are connected to enable an in depth view into the underlying information. The self-executable Version 1.1 jar file will now run on Java 1.5 or higher. A Windows executable file of Version 1.1 is also provided in the Files section. Documentation can be found on the project homepage.

This project aims to build a suite of Natural Language Processing tools. Modules will include corpus indexing and access tools, a part-of-speech tagger, tokenisers, text classification software, etc.

A multi-agent architecture for building interactive dramas. It uses the Jason's BDI engine, being the Jason's agent-oriented programming language utilized for performing the drama management and for authoring behaviors for the characters.

This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text. The method is based on SVM but other ML algorithms can be adopted.

This project aims to implement in java the following text mining techniques: Text Language Detection, Keywords and keyphrases extraction, Text Classification, Text Clustering, Single or multiple documents Summarization, Plagiarism Detection.

A graphical tool to discover topics from collections of text documents.

Real time strategy zombie siege and survival game written in Java. You and your friends team together and try to survive while the AI controlled zombies pound on your barricades. Only time will tell if you will hear the rescue helicopter.

TextMarker is now developed and hosted at Apache UIMA (http://uima.apache.org/textmarker.html). TextMarker is a UIMA-based tool for information extraction and more. The full featured editor of the rule language and the build process of UIMA descriptors are complemented with components for visualization, explanation, testing and rule learning.

SEMANTIXS is a semantic information extraction system that can extract, represent and visualize domain-specific information from free-text in the form of complex (and simple) relationships. Refer - http://www.cs.iastate.edu/~semantix/ for more info.

Simple interactive Java browser is basic simple browser show how we can use voice commands to navigate in web sites and use hyperlinks as a voice commands.

Enable the user to talk to the calculator to enter the numbers and operations or write them using a drawing panel , it support both English and Arabic languages.It have text to speech of the entered numbers/operations and reading the results.

Application Android utilisant le TTS pour lire les SMS à leur réception. Un fichier MP3 est également joué lors de la réception du SMS .

The main aim of the project is to built a application on the top of IMS which will convert text to speech. If one user sends text from one side other user will receive it as Voice. This application can be use as simple Voice SMS service

This is a Project for Text To Speech Conversion