January 1, 2000Open Access

Two statistical parsing models applied to the Chinese Treebank

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Abstract

This paper presents the first-ever results of applying statistical parsing models to the newly-available Chinese Treebank. We have employed two models, one extracted and adapted from BBN's SIFT System (Miller et al., 1998) and a TAG-based parsing model, adapted from (Chiang, 2000). On sentences with ≤40 words, the former model performs at 69% precision, 75% recall, and the latter at 77% precision and 78% recall.

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Bikel et al. (Sat,) studied this question.

synapsesocial.com/papers/6a20e5cf69aa0ec678ecb3f7 https://doi.org/https://doi.org/10.3115/1117769.1117771

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