This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
Future embedded systems (ES) will offer higher computation capacity than existing embedded systems. New applications of these ES require more and more memory resources and more an...
Developers need to evaluate software's performance to make software efficient. This paper suggests a performance evaluation system for embedded software. The suggested system ...
The development of natural language proccssing (NLP) systems that perform machine translation (MT) and information retrieval (IR) has highlighted the need for the automatic recogn...
While general-purpose processor based systems are built to enforce memory protection to prevent the unintended sharing of data between processes, current systems built around reco...
Ted Huffmire, Timothy Sherwood, Ryan Kastner, Timo...