Application of Part - of - Speech Tagger in Robust Machine Translation System

In an attempt to obtain robust machine translation system, a part-of-speech tagger system was explored. A rule based tagger system was selected to be used and the performance of the system in the MUCH domain was evaluated. An abstract representation of the tagger system was presented to examine reusability of the system in enhancing the machine translation system. The part-of-speech tagger was integrated into the machine translation system for effective operation on a sentence-by-sentence basis. Thesis Supervisor: Dr. Cliff J. Weinstein Title: Group Leader, Information Systems Technology, Lincoln Laboratory Thesis Supervisor: Dr. Young-Suk Lee Title: Staff Member, Information Systems Technology, Lincoln Laboratory