Training Hybrid Language Models by Marginalizing over Segmentations

ACL 2019 Edouard GraveSainbayar SukhbaatarPiotr BojanowskiArm Joulin

In this paper, we study the problem of hybrid language modeling, that is using models which can predict both characters and larger units such as character ngrams or words. Using such models, multiple potential segmentations usually exist for a given string, for example one using words and one using characters only... (read more)

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