Paper: Learning Part-Of-Speech Guessing Rules From Lexicon: Extension To Non-Concatenative Operations

ACL ID C96-2130
Title Learning Part-Of-Speech Guessing Rules From Lexicon: Extension To Non-Concatenative Operations
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1996
Authors

One of the problems in part-of-speech tagging of real-word texts is that of unknown to the lexicon words. In (Mikheev, 1996), a technique for fully unsupervised statistical acquisition of rules which guess possible parts-of- speech for unknown words was proposed. One of the over-simplification assumed by this learning technique was the acqui- sition of morphological rules which obey only simple coneatenative regularities of the main word with an affix. In this pa- per we extend this technique to the non- concatenative cases of suffixation and as- sess the gain in the performance.