Document Type
Conference Paper
Publication Date
2006-01-01
Technical Report Number
WUCSE-2006-36
Abstract
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.
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
Comments
Permanent URL: http://dx.doi.org/10.7936/K76D5RC5