Papers with semi-supervised segmentation model

1 papers
Exploring morphology-aware tokenization: A case study on Spanish language modeling (2025.emnlp-main)

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Challenge: a recent study shows that subword tokenization improves performance of neural language models.
Approach: They propose a linguistically grounded approach to train a tokenizer on morphologically segmented data.
Outcome: The proposed tokenizer improves on a Spanish language model with morphological information.

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