Download JAR files tagged by natural with all dependencies

The purpose of gwt-angular project is to bring the powerful MVC framework of AngularJS to Java programmers. gwt-angular provides a GWT wrapper around AngularJS, so that components of AngularJS can be written in Java language, in a manner that is natural to a programmer with that background. The project aims to leverage the runtime efficiency of AngularJS and the build time optimization of GWT.

JAMA is a basic linear algebra package for Java. It provides user-level classes for constructing and manipulating real, dense matrices. It is meant to provide sufficient functionality for routine problems, packaged in a way that is natural and understandable to non-experts.

Official Java SDK for the TextRazor Text Analytics API TextRazor offers state-of-the-art natural language processing tools through a simple API, allowing you to build semantic technology into your applications in minutes. Hundreds of applications rely on TextRazor to understand unstructured text across a range of verticals, with use cases including social media monitoring, enterprise search, recommendation systems and ad targetting.

Noble Tools Suite, is a set of Natural Language Processing (NLP) tools and Application Programming Interfaces (API) written in Java for interfacing with ontologies, auto coding text and extracting information from free test. The Noble Tools suite also includes a generic ontology API for interfacing with Web Ontology Language (OWL) files, OBO and BioPortal ontologies and a number of support utilities and methods useful for NLP (e.g. string normalization, ngram and stemming)

A backport for java.util.function to be used in java versions older than 1.8. As there are no default methods before 1.8 the backport is very limited. It only allows to create libraries with modern APIs to allow 1.8 code to use nice and natural lambdas without locking out users with older java versions. ATTENTION: This only works with -Xbootclasspath. Also it is inofficial and invalid according to JCP/JSR. However, we need a working update-path to 1.8.

The S-Space Package is a Natural Language Processing library for distributional semantics representations. Distributional semantics representations model the meaning of words, phrases, and sentences as high dimensional vectors or probability distributions. The library includes common algorithms such as Latent Semantic Analysis, Random Indexing, and Latent Dirichlet Allocation. The S-Space package also includes software libraries for matrices, vectors, graphs, and numerous clustering algorithms.

Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It provides the foundational building blocks for higher level text understanding applications.

A collection of scala and java classes for some basic natural language processing (NLP) for the Sanskrit language, contributed by the open source SanskritNLP project and friends. Some notable facilities: * Transliterate text from one script or encoding scheme to another. * Deal with babylon dictionaries. * Use bots to write to wiki projects (wiktionary, wikisource etc..). * Basic metre identification. * Some grammar simulation. Contributions and suggestions are invited at https://github.com/sanskrit-coders/sanskritnlpjava . (Sister projects there may also be of interest.)

Information extraction is the process of identifying specified classes of entities, relations, and events in natural language text – creating structured data from unstructured input. JET, the Java Extraction Toolkit, developed at New York University over the past fifteen years, provides a rich set of tools for research and education in information extraction from English text. These include standard language processing tools such as a tokenizer, sentence segmenter, part-of-speech tagger, name tagger, regular-expression pattern matcher, and dependency parser. Also provided are relation and event extractors based on the specifications of the U.S. Government's ACE [Automatic Content Extraction] program. The program is provided under an Apache 2.0 license.