5 April 1985 ERIK: An Expert Ship Message Interpreter New Mechanisms For Flexible Passing
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Proceedings Volume 0548, Applications of Artificial Intelligence II; (1985) https://doi.org/10.1117/12.948438
Event: 1985 Technical Symposium East, 1985, Arlington, United States
Abstract
ERIK (Evaluating Reports using Integrated Knowledge) is a working system that was developed for the U.S. Coast Guard to parse ship messages. ERIK is capable of parsing at an impressive rate of 1000 to 2000 messages per day, sent from merchant vessels in all parts of the world. Since these reports contain vital information it is important that the system can parse and correct them quickly and accurately, and furthermore know when it has failed to do so. This paper will focus on the following three algorithms: The IntaaLatad spaliaL/ReqQanizeL integrates the tasks of recognizing items on the input stream and spelling correction. Traditionally these tasks were separated, with items that could not be recognized passed on to a separate speller. We will describe the process that allows fast expectation-based spelling correction and recognition in one unit. The InteLRLatara is a general control structure that allows parsing of the various fields even when the reports fail to follow a fixed format, contains various types of ambiguities (both structurely and conceptually) and can handle the intrusion of noisy and irrelevant information. Changing Contaxta without laking has the ability to recover from wrong assumptions due to erroneous information and correct the previously parsed structures without the need to reparse what has already been processed. These three algorithms provided the core of the ERIK system allowing it to accurately parse and correct ship messages with confidence in a real time, real world situation.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Rosenberg, "ERIK: An Expert Ship Message Interpreter New Mechanisms For Flexible Passing", Proc. SPIE 0548, Applications of Artificial Intelligence II, (5 April 1985); doi: 10.1117/12.948438; https://doi.org/10.1117/12.948438
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