📘 Modern Hebrew: papers Mova uses

The Modern Hebrew papers whose ideas Mova took up, and what came of each idea. Every card is on Elamur Research.

• AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level — ideas: 1 kept
• Joint Hebrew Segmentation and Parsing using a PCFGLA Lattice Parser — ideas: 1 measured, no gain
• NLP in the DH pipeline: Transfer-learning to a Chronolect — ideas: 1 kept
• DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew — ideas: 1 measured, no gain
• Voice at the Interfaces: The Syntax, Semantics, and Morphology of the Hebrew Verb — ideas: 1 measured, no gain
• Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew — ideas: 1 measured, no gain
• A Pointer Network Architecture for Joint Morphological Segmentation and Tagging — ideas: 3 kept

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/lang/he/