--- title: "Who cites Mikko Kurimo — 129 papers of our library" description: "129 papers of the Elamur Research library cite the works of Mikko Kurimo, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/mikko-kurimo/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mikko-kurimo/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Mikko Kurimo](https://md.research.elamur.ai/free/en/authors/mikko-kurimo/) / cited by # Who cites Mikko Kurimo 134 citations of their works from 129 papers of our library (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · [← Mikko Kurimo](https://md.research.elamur.ai/free/en/authors/mikko-kurimo/) 1. **[Findings of the Third Shared Task on Multimodal Machine Translation](https://md.research.elamur.ai/free/en/papers/barrault-2018-findings-third-shared-task-multimodal/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Loïc Barrault, Fethi Bougares, Lucia Specia, et al.*2018 · 230 citations* 2. **[Probing the Need for Visual Context in Multimodal Machine Translation](https://md.research.elamur.ai/free/en/papers/caglayan-2019-probing-need-visual-context-multimodal/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ozan Caglayan, Pranava Madhyastha, Lucia Specia, et al.*2019 · 217 citations* 3. [**Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP arXiv:2112.10508**Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, et al.*2021 · 191 citations*](https://md.research.elamur.ai/free/en/papers/mielke-2021-between-words-characters-brief-history/) 4. **[Morfessor 2.0: Toolkit for statistical morphological segmentation](https://md.research.elamur.ai/free/en/papers/smit-2014-morfessor-2-0-toolkit-statistical/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Peter Smit, Sami Virpioja, Stig-Arne Grönroos, et al.*2014 · 168 citations* 5. [**Fanar: An Arabic-Centric Multimodal Generative AI Platform arXiv:2501.13944**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/) 6. **[Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2021-good-misconceived-reasons-empirical-revisiting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyong Wu, Lingpeng Kong, Wei Bi, et al.*2021 · 120 citations* 7. **[MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling](https://md.research.elamur.ai/free/en/papers/limisiewicz-2024-myte-morphology-driven-byte-encoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tomasz Limisiewicz, Terra Blevins, Hila Gonen, et al.*2024 · 30 citations* 8. [**Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew**Eylon Gueta, Omer Goldman, Reut Tsarfaty*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/) 9. **[Towards Universal Segmentations: UniSegments 1.0](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2022-universal-segmentations-unisegments-1-0/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Zdeněk Žabokrtský, Niyati Bafna, Jan Bodnár, et al.*2022 · 6 citations* 10. **[Rubric-Guided Fine-tuning of SpeechLLMs for Multi-Aspect, Multi-Rater L2 Reading-Speech Assessment](https://md.research.elamur.ai/free/en/papers/parikh-2026-rubric-guided-fine-tuning-speechllms/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aditya Kamlesh Parikh, Cristian Tejedor-García, Catia Cucchiarini, et al.*2026 · 1 citation* 11. **[Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic](https://md.research.elamur.ai/free/en/papers/reif-2026-vocab-diet-reshaping-vocabulary-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuval Reif, Guy Kaplan, Roy Schwartz*2026 · 1 citation* 12. **[A Benchmark Corpus for the Diagnostic Assessment of Content in L2 English Speech](https://md.research.elamur.ai/free/en/papers/doi-2026-benchmark-corpus-diagnostic-assessment-content/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kosuke Doi, Justin Vasselli, Taro Watanabe*2026* 13. **[GlossMATE: Multi-Agent Translator Explanations for Glosses](https://md.research.elamur.ai/free/en/papers/yang-2026-glossmate-multi-agent-translator-explanations/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Changbing Yang, Patrick Littell, Gabriel Bernier-Colborne, et al.*2026* 116 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/mikko-kurimo/) — Mikko Kurimo