--- title: "Workshop on NLP for Similar Languages, Varieties… — works" description: "27 works of Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial) in our library, the most cited first." canonical: "https://research.elamur.ai/free/en/venues/vardial/works/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/vardial/works/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Workshop on NLP for Similar Languages, Varieties…](https://md.research.elamur.ai/free/en/venues/vardial/) / works # Works of Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial) 27 works · the most cited first · [← Workshop on NLP for Similar Languages, Varieties…](https://md.research.elamur.ai/free/en/venues/vardial/) 1. [**Findings of the VarDial Evaluation Campaign 2017**Marcos Zampieri, Shervin Malmasi, Nikola Ljubešić, et al.*2017 · 261 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2017-findings-vardial-evaluation-campaign/) 2. [**Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2018 · 169 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2018-language-identification-morphosyntactic-tagging-second/) 3. [**Modeling Global Syntactic Variation in English Using Dialect Classification**Jonathan Dunn*2019 · 23 citations*](https://md.research.elamur.ai/free/en/papers/dunn-2019-modeling-global-syntactic-variation-english/) 4. [**Optimizing the Size of Subword Vocabularies in Dialect Classification**Vani Kanjirangat, Tanja Samardžić, Ljiljana Dolamic, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kanjirangat-2023-optimizing-size-subword-vocabularies-dialect/) 5. [**Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data**Fahad AlGhamdi, Mona Diab*2019 · 11 citations*](https://md.research.elamur.ai/free/en/papers/alghamdi-2019-leveraging-pretrained-word-embeddings-part/) 6. [**Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts**Ehsan Doostmohammadi, Minoo Nassajian*2019 · 11 citations*](https://md.research.elamur.ai/free/en/papers/doostmohammadi-2019-investigating-machine-learning-methods-language/) 7. [**Experiments in Cuneiform Language Identification**Gustavo Henrique Paetzold, Marcos Zampieri*2019 · 6 citations*](https://md.research.elamur.ai/free/en/papers/paetzold-2019-experiments-cuneiform-language-identification/) 8. [**The similarity and Mutual Intelligibility between Amharic and Tigrigna Varieties**Tekabe Legesse Feleke*2017 · 6 citations*](https://md.research.elamur.ai/free/en/papers/feleke-2017-similarity-mutual-intelligibility-between-amharic/) 9. [**Comparing Pipelined and Integrated Approaches to Dialectal Arabic Neural Machine Translation**Pamela Shapiro, Kevin Duh*2019 · 5 citations*](https://md.research.elamur.ai/free/en/papers/shapiro-2019-comparing-pipelined-integrated-approaches-dialectal/) 10. [**Extending ASR Evaluation Resources for Modern Greek Dialects**Chara Tsoukala, Stavros Bompolas, Antigoni Margariti, et al.*2026 · 4 citations*](https://md.research.elamur.ai/free/en/papers/tsoukala-2026-extending-asr-evaluation-resources-modern/) 11. [**Ara-HOPE: Human-Centric Post-Editing Evaluation for Dialectal Arabic to Modern Standard Arabic Translation**Abdullah Alabdullah, Lifeng Han, Chenghua Lin*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alabdullah-2026-ara-hope-human-centric-post/) 12. [**Whit's the Richt Pairt o Speech: PoS tagging for Scots**Harm Lameris, Sara Stymne*2021 · 2 citations*](https://md.research.elamur.ai/free/en/papers/lameris-2021-whit-s-richt-pairt-o/) 13. [**NUS-IDS at AMIYA/VarDial 2026: Improving Arabic Dialectness in LLMs with Reinforcement Learning**Sujatha Das Gollapalli, Mouad Hakam, Mingzhe Du, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gollapalli-2026-nus-ids-amiya-vardial-2026/) 14. [**A Closed-Track System for Palestinian Arabic in the AMIYA Shared Task**Khaleel Hamad, Ahmad Al-Najjar*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/hamad-2026-closed-track-system-palestinian-arabic/) 15. [**Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts**Sanjh Maheshwari, Aniket Singh Rajpoot, Oana Cocarascu, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/maheshwari-2026-improving-dialect-robustness-large-language/) 16. [**OcWikiDialects: A Wikipedia Dataset With Rich Metadata for Occitan Dialect Identification**Oriane Nédey, Rachel Bawden, Thibault Clérice, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nedey-2026-ocwikidialects-wikipedia-dataset-rich-metadata/) 17. [**Syllable Structures Across Arabic Varieties**Abdelrahim Qaddoumi, Jordan Kodner, Salam Khalifa, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/qaddoumi-2026-syllable-structures-across-arabic-varieties/) 18. [**AMIYA Shared Task: Arabic Modeling In Your Accent at VarDial 2026**Nathaniel R. Robinson, Shahd Abdelmoneim, Anjali Kantharuban, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/robinson-2026-amiya-shared-task-arabic-modeling/) 19. [**A Subword Embedding Approach for Variation Detection in Luxembourgish User Comments**Anne-Marie Lutgen, Alistair Plum, Christoph Purschke*2026*](https://md.research.elamur.ai/free/en/papers/lutgen-2026-subword-embedding-approach-variation-detection/) 20. [**Onomasiological Sense Alignment Across Dialect Dictionaries. A Taxonomy-Constrained LLM Classification**Nathalie Mederake, Nico Urbach, Hanna Fischer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mederake-2026-onomasiological-sense-alignment-across-dialect/) 21. [**Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models**Ali Mekky, Mohamed El Zeftawy, Lara Hassan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mekky-2026-curriculum-learning-pseudo-labeling-improve/) 22. [**Aladdin-FTI @ AMIYA Three Wishes for Arabic NLP: Fidelity, Diglossia, and Multidialectal Generation**Jonathan Mutal, Perla Al Almaoui, Simon Hengchen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mutal-2026-aladdin-fti-amiya-three-wishes/) 23. [**Indic-TunedLens: Interpreting Multilingual Models in Indian Languages**Mihir Panchal, Deeksha Varshney, Mamta, et al.*2026*](https://md.research.elamur.ai/free/en/papers/panchal-2026-indic-tunedlens-interpreting-multilingual-models/) 24. [**Regional Variation in the Performance of ASR Models on Croatian and Serbian**Tanja Samardžić, Peter Rupnik, Nikola Ljubešić*2026*](https://md.research.elamur.ai/free/en/papers/samardzic-2026-regional-variation-performance-asr-models/) 25. [**Language Mixture to Develop Accurate Galician Dependency Parsers: An Exploration of Its Effects**Xabier Irastortza-Urbieta, José M. García-Miguel, Marcos Garcia*2026*](https://md.research.elamur.ai/free/en/papers/urbieta-2026-language-mixture-develop-accurate-galician/) 26. [**Crowdsourcing Piedmontese to Test LLMs on Non-Standard Orthography**Gianluca Vico, Jindřich Libovický*2026*](https://md.research.elamur.ai/free/en/papers/vico-2026-crowdsourcing-piedmontese-test-llms-non/) 27. [**Character Alignment in Morphologically Complex Translation Sets for Related Languages**Michael Gasser, Binyam Ephrem Seyoum, Nazareth Amlesom Kifle*2020*](https://md.research.elamur.ai/free/en/papers/gasser-2020-character-alignment-morphologically-complex-translation/) - [← back to](https://md.research.elamur.ai/free/en/venues/vardial/) — Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)