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ID: segmentationperformance
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Studying the Effect of Input Size for Bayesian Word Segmentation on the Providence Corpus
Studies of computational models of language acquisition depend to a large part on the input available for experiments. In this paper, we study the effect that input size has on …...
Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information
Currently most of state-of-the-art methods for Chinese word segmentation (CWS) are based on supervised learning, which depend on large scale annotated corpus. However, these supervised methods do not work well …...
Attention Is All You Need for Chinese Word Segmentation
AbstractTaking greedy decoding algorithm as it should be, this work focuses on further strengthening the model itself for Chinese word segmentation (CWS), which results in an even more fast and …...