Download JAR files tagged by language with all dependencies

dyna4JDBC is a JDBC driver, that allows running alternative JVM language scripts (Groovy, JavaScript, Scala, Jython, Clojure, BeanShell, R (Renjin), JRuby etc.) or external console-oriented programs via the JDBC API. Mainly targeted at allowing JDBC-enabled business intelligence applications to run various scripts instead of SQL easily, dyna4JDBC captures and parses the output of scripts/external programs and presents that as a standard JDBC Result Set, allowing the output to be processed further for various purposes like building complex reports quickly and analysis with other tools.

LaukvikCSV is a powerful API for reading, writing and querying tabular data stored in the CSV format. In contrast to other API it lets you specify data types for each column using meta data. It automatically detects delimiters so you don't have to worry about delimiters being comma, tab, pipe, semicolon etc. Run powerful queries to filter your data easily with a fluid query language thats type safe. Export your tabular data to CSV, JSON, XML and HTML.

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.