A framework of a mechanical translation between Japanese and English by analogy principle
Proc. of the international NATO symposium on Artificial and human intelligence
The acquisition and use of context-dependent grammars for English
Computational Linguistics
Dependency-based syntactic analysis of Chinese and annotation of parsed corpus
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
A block-based robust dependency parser for unrestricted Chinese text
CLPW '00 Proceedings of the second workshop on Chinese language processing: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 12
Extracting opinion topics for Chinese opinions using dependence grammar
Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising
Syntactic impact on sentence similarity measure in archive-based QA system
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
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The tree bank is an important resoures for MT and linguistics researches, but it requires that large number of sentences be annotated with syntactic information. It is time consuming and troublesome, and difficult to keep consistency, if annotation is done manually. In this paper, we presented a new technique for the semi-automatic tagging of Chinese text. The system takes as input Chinese text, and outputs the syntactically tagged sentence(dependency tree). We use dependency grammar and employ a stack based shift/ reduce context-dependent parser as the tagging mechanism. The system works in human-machine cooperative way, in which the machine can acquire tagging rules from human intervention. The automation level can be improved step by step by accumulating rules during annotation. In addition, good consistency of tagging is guaranteed.