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- W2157267466 abstract "Languages are constantly evolving through their users due to the need to communicate more efficiently. Under this hypothesis, we formulate unsupervised word segmentation as a regularized compression process. We reduce this process to an optimization problem, and propose a greedy inclusion solution. Preliminary test results on the Bernstein-Ratner corpus and Bakeoff-2005 show that the our method is comparable to the state-of-the-art in terms of effectiveness and efficiency." @default.
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- W2157267466 date "2012-06-07" @default.
- W2157267466 modified "2023-09-23" @default.
- W2157267466 title "A Regularized Compression Method to Unsupervised Word Segmentation" @default.
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