--- title: "Who cites Morfessor 2.0: Toolkit for statistical…" description: "62 papers of the Elamur Research library cite «Morfessor 2.0: Toolkit for statistical morphological segmentation», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/smit-2014-morfessor-2-0-toolkit-statistical/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/smit-2014-morfessor-2-0-toolkit-statistical/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Morfessor 2.0: Toolkit for statistical…](https://md.research.elamur.ai/free/en/papers/smit-2014-morfessor-2-0-toolkit-statistical/) / cited by # Who cites «Morfessor 2.0: Toolkit for statistical morphological segmentation» 62 papers of our library cite it (of the 140,884 whose bibliographies we read) · 3 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/smit-2014-morfessor-2-0-toolkit-statistical/) 1. [**Fanar: An Arabic-Centric Multimodal Generative AI Platform**Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.*2025 · 127 citations*](https://md.research.elamur.ai/free/en/papers/abbas-2025-fanar-arabic-centric-multimodal-generative/) 2. [**Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP**Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, et al.*2021 · 89 citations*](https://md.research.elamur.ai/free/en/papers/mielke-2021-between-words-characters-brief-history/) 3. [**Towards Universal Segmentations: UniSegments 1.0**Zdeněk Žabokrtský, Niyati Bafna, Jan Bodnár, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2022-universal-segmentations-unisegments-1-0/) 59 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/smit-2014-morfessor-2-0-toolkit-statistical/) — Morfessor 2.0: Toolkit for statistical morphological segmentation