DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding

Min Li, Marina Danilevsky, Sara Noeman, Yunyao Li 0001. DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding. In Anna Korhonen, Ivan Titov, editors, Proceedings of the 22nd Conference on Computational Natural Language Learning, CoNLL 2018, Brussels, Belgium, October 31 - November 1, 2018. pages 444-453, Association for Computational Linguistics, 2018. [doi]

Abstract

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