Search Results for "java html parser"

TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP...

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data. libpostal is a C library for parsing/normalizing street addresses around the world using statistical NLP and open data. The goal of this project is to understand location-based strings in every language, everywhere. Addresses and the locations they represent are essential for any application dealing with maps (place search, transportation, on-demand/delivery services,...

CamBA is a Linux package for statistical analysis, by script/GUI, of neuroimaging data (fMRI/sMRI), developed at the Brain Mapping Unit, University of Cambridge. Non-parametric permutation-based statistics. Input images: 4D NiFTI files, output: HTML/

Software for Video Copy Detection. The software has been described in some scientific papers, e.g. http://dx.doi.org/10.1109/ICME.2011.6012212 and http://dx.doi.org/10.1007/s11042-011-0915-x. This software is the result of my PhD at the University of Chile and the participation at TRECVID Content-Based Copy Detection (CCD) evaluation task 2010 and 2011. More details in http://www-nlpir.nist.gov/projects/tv2011/tv2011.html#ccd and in...

Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.

A CUDA parallel parser for nondeterministic grammars based on a Bison-generated GLR Parser. Parsing has been used to syntactically analyze programming language. Usually, parsing programming languages is deterministic, i.e., there exists exactly one valid way to syntactically interpret the input. In this project, non-deterministic parsing is used as means to predicting RNA secondary structures.