🧑‍🔬 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

1. Findings of the Third Shared Task on Multimodal Machine TranslationConference on Machine Translation: Shared Task PapersLoïc Barrault, Fethi Bougares, Lucia Specia, et al.2018 · 230 citations
2. Probing the Need for Visual Context in Multimodal Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (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 NLParXiv:2112.10508Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, et al.2021 · 191 citations
4. Morfessor 2.0: Toolkit for statistical morphological segmentationConference of the European Chapter of the Association for Computational Linguistics (EACL)Peter Smit, Sami Virpioja, Stig-Arne Grönroos, et al.2014 · 168 citations
5. Fanar: An Arabic-Centric Multimodal Generative AI PlatformarXiv:2501.13944Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
6. Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyong Wu, Lingpeng Kong, Wei Bi, et al.2021 · 120 citations
7. MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Tomasz Limisiewicz, Terra Blevins, Hila Gonen, et al.2024 · 30 citations
8. Explicit Morphological Knowledge Improves Pre-training of Language Models for HebrewEylon Gueta, Omer Goldman, Reut Tsarfaty2023 · 7 citations
9. Towards Universal Segmentations: UniSegments 1.0Language Resources and Evaluation Conference (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 AssessmentLanguage Resources and Evaluation Conference (LREC)Aditya Kamlesh Parikh, Cristian Tejedor-García, Catia Cucchiarini, et al.2026 · 1 citation
11. Vocab Diet: Reshaping the Vocabulary of LLMs via Vector ArithmeticFindings of the Association for Computational LinguisticsYuval Reif, Guy Kaplan, Roy Schwartz2026 · 1 citation
12. A Benchmark Corpus for the Diagnostic Assessment of Content in L2 English SpeechLanguage Resources and Evaluation Conference (LREC)Kosuke Doi, Justin Vasselli, Taro Watanabe2026
13. GlossMATE: Multi-Agent Translator Explanations for GlossesLanguage Resources and Evaluation Conference (LREC)Changbing Yang, Patrick Littell, Gabriel Bernier-Colborne, et al.2026

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