Automatic sentence segmentation for classical Chinese: <i>The Spring and Autumn Annals</i> as an example

Classical Chinese Sentence Segmentation

Sentence segmentation is a fundamental issue in Classical Chinese language processing. To facilitate reading and processing of the raw Classical Chinese data, we propose a statistical method to split unstructured Classical Chinese text into smaller pieces such as sentences and clauses. The segmenter based on the conditional random field (CRF) model is tested under different tagging schemes and ...

Chinese sentence segmentation as comma classification

We describe a method for disambiguating Chinese commas that is central to Chinese sentence segmentation. Chinese sentence segmentation is viewed as the detection of loosely coordinated clauses separated by commas. Trained and tested on data derived from the Chinese Treebank, our model achieves a classification accuracy of close to 90% overall, which translates to an F1 score of 70% for detectin...

Autumn spring.

artists; signatures and monograms, an international directory. Castagno, John. Scarecrow Pr., ©2007 567 p. $225.00 Castagno, a multimedia artist and sculptor and author of other books in the Artists’ Signatures and Monograms series, presents a reference for identifying, authenticating, and verifying signatures and works of wellknown and little-known abstract artists. About 2,300 painters, print...

Sentence-for-sentence translation: an example

A New Model for Automatic Sentence Segmentation

Context Overlapping Model (COM) is presented in this article for the task of Automatic Sentence Segmentation (ASS). Comparing with HMM, COM expands observation from single word unit to n-gram unit and there is an overlapping part between the neighboring units. Due to the co-occurrence constraint and transition constraint, COM model reduces the search space and improves accuracy of segmentation....