Deterministic part-of-speech tagging with finite-state transducers
Computational Linguistics
Finite-State Language Processing
Finite-State Language Processing
Finite-state transducers in language and speech processing
Computational Linguistics
A stochastic finite-state word-segmentation algorithm for Chinese
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
A new statistical parser based on bigram lexical dependencies
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Usefulness of temporal information automatically extracted from news articles for topic tracking
ACM Transactions on Asian Language Information Processing (TALIP)
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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.