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# 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](https://research.elamur.ai/free/en/shelves/he/).

- [AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level](https://research.elamur.ai/free/en/papers/acl-2022-seker-alephbert-language-model-pre-training/) — ideas: 1 kept
- [Joint Hebrew Segmentation and Parsing using a PCFGLA Lattice Parser](https://research.elamur.ai/free/en/papers/aclbulk-2011-goldberg-joint-hebrew-segmentation-parsing-pcfgla/) — ideas: 1 measured, no gain
- [NLP in the DH pipeline: Transfer-learning to a Chronolect](https://research.elamur.ai/free/en/papers/aclbulk-2021-rubinstein-nlp-dh-pipeline-transfer-learning/) — ideas: 1 kept
- [DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew](https://research.elamur.ai/free/en/papers/arxivrecent-2023-shmidman-dictabert-state-art-bert-suite/) — ideas: 1 measured, no gain
- [Voice at the Interfaces: The Syntax, Semantics, and Morphology of the Hebrew Verb](https://research.elamur.ai/free/en/papers/langsci-b271-kastner-voice-at-interfaces/) — ideas: 1 measured, no gain
- [Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew](https://research.elamur.ai/free/en/papers/tacl-2019-more-joint-transition-based-models-morpho/) — ideas: 1 measured, no gain
- [A Pointer Network Architecture for Joint Morphological Segmentation and Tagging](https://research.elamur.ai/free/en/papers/ud-2020-seker-pointer-network-architecture-joint-morphological/) — ideas: 3 kept