Parsing Morphologically Rich Languages: A New Approach for Hebrew NLP

The author presents a new "flipped pipeline" approach for morphological parsing in Morphologically Rich Languages (MRLs), specifically focusing on Hebrew. By predicting on whole-token units independently and synthesizing the results, the model achieves state-of-the-art performance without relying on language-specific resources.