Download JAR files tagged by splitting with all dependencies

Box is an add-on framework for Java EE applications that performs asynchronous gathering of source data with subsequent processing or transformation of that data into output JSON documents and exposing those documents through a web API. Box excels at maintaining existing documents including keeping them up-to-date in real time and deleting them when required. Box supports aggregating data from multiple sources as well as splitting data into multiple documents. How documents are processed is left up to each application. The web api makes the documents available by ID or by harvesting all documents. Harvests can be filtered using facets and documents can be pared down by requesting only needed fields.

DICTIONARY-BASED COMPOUND SPLITTER FOR GERMAN BananaSplit is a compound splitter for German that uses a dictionary resource. The dictionary can be either a simple word list, or a word list equipped with POS values, or an XML based dictionary. The original version was able to use GermaNet as a dictionary. This is useful in applications that rely on GermaNet anyway: no additional lexicon needs to be generated and held in memory. This was also the original purpose of BananaSplit. It served as a compound splitter for a tool called BananaRelation. BananaRelation cannot be published here as it makes heavy use of unpublished code by EML Research, Heidelberg. BananaSplit can either be used as a standalone application or it can be integrated into other Java programs (as a library). This program emerged from the seminar Lexical Semantic Processing in NLP (winter term 2005/2006) taught by Iryna Gurevych at the Seminar für Sprachwissenschaft, Tübingen. Both BananaSplit and BananaRelation were introduced to the seminar participants on 17th of December, 2005. The key algorithm for compound splitting is based on Langer (1998). The program came to use in Müller and Gurevych (2006). Please note that the program splits compounds into two parts only. Details are given in the documents linked below.