Who cites «LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages»
- Evaluating Large Language Models for Medical Named Entity Recognition in Urdu: A Benchmark Study — 2026 · Proceedings of the Second workshop on Challenges in Processing South Asian Languages (CHiPSAL2026)
- Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and Domains — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Explicit Learning and the LLM in Machine Translation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- From Text to Multi-Modal: Advancing Low-Resource-Language Translation through Synthetic Data Generation and Cross-Modal Alignments — 2025 · Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025)
- Leveraging Dictionaries and Grammar Rules for the Creation of Educational Materials for Indigenous Languages — 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)
- PahGen: Generating Ancient Pahlavi Text via Grammar-guided Zero-shot Translation — 2025 · Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025)
- Reasoning for Translation: Comparative Analysis of Chain-of-Thought and Tree-of-Thought Prompting for LLM Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
- Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches — 2024 · arXiv:2412.20584
- coleman-2026-comparing-llm-based-translation-approaches
- cuadros-2026-schema-constrained-image-captioning-five
- gagnier-2026-deer-deities-dancing-culturally-biased
- vasques-2025-fsts-vs-icl-generalisation-llms
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