A Benchmark for Morphological Segmentation in Uyghur and Kazakh
G Abudouwaili, S Ruzmamat, K Abiderexiti, B Wu… - Applied Sciences, 2024 - mdpi.com
Morphological segmentation and stemming are foundational tasks in natural language
processing. They have become effective ways to alleviate data sparsity in agglutinative …
processing. They have become effective ways to alleviate data sparsity in agglutinative …
ERAS: Evaluating the Robustness of Chinese NLP Models to Morphological Garden Path Errors
Q Li, S Hao - arXiv preprint arXiv:2410.13057, 2024 - arxiv.org
In languages without orthographic word boundaries, NLP models perform word
segmentation, either as an explicit preprocessing step or as an implicit step in an end-to-end …
segmentation, either as an explicit preprocessing step or as an implicit step in an end-to-end …