Washington University in St. Louis Washington University Open Scholarship All Computer Science and Engineering Research Computer Science and Engineering Report Number: WUCSE-2006-36 2006-01-01 HAIL: An Algorithm for the Hardware Accelerated Identification of Languages, Master's Thesis, May 2006 Charles M. Kastner This thesis examines in detail the Hardware-Accelerated Identification of Languages (HAIL) project. The goal of HAIL is to provide an accurate means to identify the language and encoding used in streaming content, such as documents passed over a high-speed network. HAIL has been implemented on the Field-programmable Port eXtender (FPX), an open hardware platform developed at Washington University in St. Louis. HAIL can accurately identify the primary languages and encodings used in text at rates much higher than what can be achieved by software algorithms running on microprocessors. Follow this and additional works at: https://openscholarship.wustl.edu/cse_research Part of the Computer Engineering Commons, and the Computer Sciences Commons Recommended Citation Kastner, Charles M., " HAIL: An Algorithm for the Hardware Accelerated Identification of Languages, Master's Thesis, May 2006" Report Number: WUCSE-2006-36 (2006). All Computer Science and Engineering Research. https://openscholarship.wustl.edu/cse_research/187 Department of Computer Science & Engineering - Washington University in St. Louis Campus Box 1045 - St. Louis, MO - 63130 - ph: (314) 935-6160. Department of Computer Science & Engineering 2006-36 HAIL: An Algorithm for the Hardware Accelerated Identification of Languages, Master's Thesis, May 2006 Authors: Charles M. Kastner Corresponding Author:
[email protected] Web Page: http://www.arl.wustl.edu/projects/fpx/reconfig.htm Abstract: This thesis examines in detail the Hardware-Accelerated Identification of Languages (HAIL) project.