In this paper, we present Farasa (meaning insight in Arabic), which is a fast and accurate Arabic segmenter. Segmentation involves breaking Arabic words into their constituent clitics. Our approach is based on SVM using linear kernels. The features that we utilized account for: likelihood of stems, prefixes, suffixes, and their combination; presence in… (More)