Search Results for "statistical" - Page 4

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...

An Eclipse SWT Java GUI based application to demonstrate 2D statistical models in computer vision, for face representation.

The Moses repository has moved: https://github.com/moses-smt/mosesdecoder Factored phrase-based, hierarchical and syntax decoder for statistical machine translation

This project implements the techniques used in this paper: @INPROCEEDINGS{Andres10a, author = {Jesús Andrés-Ferrer and Germán Sanchis-Trilles and Francisco Casacuberta}, title = {Similarity Word-Sequence Kernels for Sentence Clustering}, booktitle = {Proceedings of the 8th International Workshop on Statistical Pattern Recognition}, year = {2010}, } This project depends on jaf_Utils: http://sourceforge.net/projects/jafutils/ Install it prior installation of jaf_Kernels.

Headrand is a static library wrote in c that contains functions to simulate complex systems or make statistical analysis with a new approach called "random function computing"

A java library for the processing and analysis of natural language texts and other sequential data. The focus is on unsupervised modeling with simple, statistical methods as well as implementations of more complex algorithms.

Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part of speech tagging in Natural Language Processing. Several example applications using maxent can be found in the OpenNLP Tools Library.

Cunei is a data-driven machine translation system that builds dynamic, statistical models based on instances of known translations found in a corpus.

Phramer - An Open-Source Statistical Phrase-Based Machine Translation Decoder ||| Project web page: http://www.phramer.org

CHAC is a MATLAB toolbox for statistical downscaling.

Collection of Statistical Language Processing Tools and Modules for Information Retrieval, Document Classification, Vectorization, Pattern Matching, Knowledge/Text Mining related problems.

PSMT is a statistical machine translation program written in prolog.

AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis.

Engine for unlimited effects and modulation for sophisticated audio generation, with instrument simulation capabilities. It provides a simple core for generating effects and statistical and physical instrument modelling.

SCASTD (Statistical Casting Daemon) is a lightweight, high-performance statistics collection and analytics engine we designed specifically for streaming media infrastructure. Unlike traditional streaming servers, we built SCASTD to be the definitive monitoring solution that bridges legacy and modern streaming protocols, providing unified analytics across your entire streaming ecosystem

A Java application for statistical analysis and systematic manipulation of natural language texts.

This package provides statistical (and heuristic) tools for 3 stages of Verb Phrase Ellipsis (VPE) resolution: 1 - Detection 2 - Antecedent location 3 - Resolution

Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.