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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Multilingual NLP
4508 directly classified papers
Papers per year
2000: 1
2007: 1
2011: 2
2012: 1
2013: 2
2014: 1
2016: 30
2017: 64
2018: 147
2019: 229
2020: 338
2021: 481
2022: 532
2023: 611
2024: 769
2025: 1103
2026: 196
Papers
Lexical Semantic Change Annotation with Large Language Models
NAACL 2025
Adapting Multilingual Embedding Models to Historical Luxembourgish
NAACL 2025
Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service
NAACL 2025
Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs
NAACL 2025
Multilingual State Space Models for Structured Question Answering in Indic Languages
NAACL 2025
Rainbow-Teaming for the Polish Language: A Reproducibility Study
NAACL 2025
Synthetic Lyrics Detection Across Languages and Genres
NAACL 2025
Gender Bias in Large Language Models across Multiple Languages: A Case Study of ChatGPT
NAACL 2025
What Language Do Non-English-Centric Large Language Models Think in?
ACL 2025
RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
ACL 2025
MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment
ACL 2025
Yankari: Monolingual Yoruba Dataset
ACL 2025
Who Wrote This? Identifying Machine vs Human-Generated Text in Hausa
ACL 2025
SabiYarn: Advancing Low Resource Languages with Multitask NLP Pretraining
ACL 2025
Story Generation with Large Language Models for African Languages
ACL 2025
Challenging Multimodal LLMs with African Standardized Exams: A Document VQA Evaluation
ACL 2025
HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing
ACL 2025
Beyond Generalization :Evaluating Multilingual LLMs for Yorùbá Animal Health Translation
ACL 2025
Multilingual NLP for African Healthcare: Bias, Translation, and Explainability Challenges
ACL 2025
Beyond Metrics: Evaluating LLMs Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios
ACL 2025
HATS : Hindi Analogy Test Set for Evaluating Reasoning in Large Language Models
ACL 2025
MateInfoUB: A Real-World Benchmark for Testing LLMs in Competitive, Multilingual, and Multimodal Educational Tasks
ACL 2025
Are Large Language Models for Education Reliable Across Languages?
ACL 2025
EduCSW: Building a Mandarin-English Code-Switched Generation Pipeline for Computer Science Learning
ACL 2025
BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
ACL 2025
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