Abstract : This technical note provides a brief description of a Java library for Arabic natural language processing (NLP) containing code for training and applying the Arabic NLP system described in the paper A Cross-Task Flexible Transition Model for Arabic Tokenization, Affix Detection, Affix Labeling, POS Tagging, and Dependency Parsing by Stephen Tratz presented at the Statistical Parsing of Morphologically Rich Languages (SPMRL) workshop held in Seattle in conjunction with the Empirical Methods in Natural Language Processing (EMNLP) conference of October 2013. The system is capable of clitic separation, inflectional affix identification and labeling, part-of-speech tagging, and dependency parsing for Arabic. The code, which is extended from previously released graduate student code, also supports English part-of-speech tagging, dependency parsing, and semantic disambiguation tasks. In general, the code library is expected to be of most value to natural language processing researchers.