<ul data-eligibleForWebStory="false"><li>Tokenization is crucial in language modeling to segment text inputs into atomic units.</li><li>A new deep model has been introduced to incorporate morphological structure guidance into tokenization.</li><li>The model utilizes a mechanism called $	extit{MorphOverriding}$ to maintain the indecomposability of morphemes and align with morphological rules.</li><li>Empirical results show that the proposed method outperforms traditional methods like BPE and WordPiece in morphological segmentation and language modeling tasks.</li></ul>

Unsupervised Morphological Tree Tokenizer

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