Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew»

Who cites «Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew»

7 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. Hebrew Diacritics Restoration using Visual Representation — our card · 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
  2. Modelling the Morphology of Verbal Paradigms: A Case Study in the Tokenization of Turkish and Hebrew — our card · 2026 · Proceedings of the Second Workshop Natural Language Processing for Turkic Languages (SIGTURK 2026)
  3. MoVoC: Morphology-Aware Subword Construction for Geez Script Languages — 2025 · arXiv:2509.08812
  4. Why do language models perform worse for morphologically complex languages? — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  5. HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew — our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  6. teklehaymanot-2025-movoc-morphology-aware-subword-construction — our card
  7. vanetik-2025-safer-hebrew-communication-dataset-offensive — our card

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/langstream-2023-gueta-explicit-morphological-knowledge-improves-pre/