ملف الباحث
Chantal Amrhein
ورقة واحدة في مجموعة PaperMetrix
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How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?
2021 · arXiv (Cornell University)
Data-driven subword segmentation has become the default strategy for open-vocabulary machine translation and other NLP tasks, but may not be sufficiently generic for optimal learning of non-concatenative morphology. We design a test suite to evaluate …