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Accurate analysis of the temporal expression is crucial for Korean text processing applications such as information extraction and chunking for efficient syntactic analysis. It is a complicated problem since temporal expressions often have the ambiguity of syntactic roles. This paper discusses two problems: (1) representing and identifying the temporal expression (2) distinguishing the syntactic function of the temporal expression in case it has a dual syntactic role. In this paper, temporal expressions and the context for disambiguation which is called local context are represented using lexical data extracted from corpus and the finite state transducer. By experiments, it turns out that the method is effective for temporal expression analysis. In particular, our approach shows the corpus-based work could make a promising result for the problem in a restricted domain in that we can effectievely deal with a large size of lexical data.

Identifying temporal expression and its syntactic role using FST and lexical data from corpus