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This article presents a pragmatic approach to Chinese word segmentation. It differs from most previous approaches mainly in three respects. First, while theoretical linguists have defined Chinese word...
Chinese is written without using spaces or other word delimiters. Although a text may be thought of as a corresponding sequence of words, there is considerable ambiguity in the placement of boundaries...
Previous work has shown that Chinese word segmentation is useful for machine translation to English, yet the way different segmentation strategies affect MT is still poorly understood. In this paper, ...
In this paper we first describe the technol-ogy of automatic annotation transformation,which is based on the annotation adaptationalgorithm (Jiang et al., 2009). It can auto-matically transform a huma...
Parsing the Internal Structure of Words: A New Paradigm for Chinese Word Segmentation.
This paper presents a local generative model for Chinese word segmentation, which has faster learning process than discriminative models and can do unsupervised learning. It has the ability to make us...
Manually annotated corpora are valuable but scarce resources, yet for many anno-tation tasks such as treebanking and se-quence labeling there exist multiple cor-pora withdifferentandincompatible anno-...
We present a Chinese word segmentation model learned from punctuation marks which are perfect word delimiters. The learning is aided by a manually segmented corpus. Our method is considerably more e...
Overlapping ambiguity is a major ambiguity type in Chinese word segmentation. In this paper, the statistical properties of overlapping ambiguities are intensively studied based on the observations fro...

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