Abstract

This paper describes two experiments: one exploring the amount of information relevant to sense disambiguation contained in the part-of-speech field of entries in a Machine Readable Dictionary (MRD); the other, more practical, experiment attempts sense disambiguation of all content words in a text assigning MRD homographs as sense tags using only partof -speech information. We have implemented a simple sense tagger which successfully tags 94% of words using this method. A plan to extend this work and implement an improved sense tagger is included. Contents 1 Introduction 1 2 Work so far 2 3 Experiments using part-of-speech 4 3.1 The Structure of a Lexicon: A Gedankenexperiment 5 3.2 Using a Tagger: A Practical Experiment 7 4 Conclusion 8 5 Further work 10 References 11 1 Introduction Sense tagging is the process of assigning the appropriate sense from a lexicon to each word token in a text 1 , similar to the way a grammatical category is assigned in part1 This is often loosen...

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