A Stochastic Finite-State Word-Segmentation Algorithm for Chinese

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We present a stochastic finite-state model for segmenting Chinese text into dictionary entries and productively derived words, and providing pronunciations for these words; the method incorporates a class-based model in its treatment of personal names. We also evaluate the system's performance, taking into account the fact that people often do not agree on a single segmentation.
To appear in Proceedings of ACL-94

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Computation and Language

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http://salesiana.dossiersoluciones.com/handle/123456789/147378

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cmp-lg/9405008
 http://arxiv.org/abs/cmp-lg/9405008
 in Proceedings of ACL 94

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arXiv