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# Who cites «chrF++: words helping character n-grams»

470 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/popovic-2017-chrf-words-helping-character-n/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2017-chrf-words-helping-character-n-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2017-chrf-words-helping-character-n-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2017-chrf-words-helping-character-n-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2017-chrf-words-helping-character-n-5/)

1. [A Factorial Study of Synthetic Data Generation for Low-Resource Machine Translation using Grammar Books](https://arxiv.org/abs/2607.22376) *— 2026 · arXiv:2607.22376*
2. [A Single Model Ensemble Framework for Neural Machine Translation Using Pivot Translation](https://aclanthology.org/2026.lrec-1.672/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [AMIYA Shared Task: Arabic Modeling In Your Accent at VarDial 2026](https://aclanthology.org/2026.vardial-1.1/) *— 2026 · Proceedings of the 13th Workshop on NLP for Similar Languages, Varieties and Dialects*
4. [AfriNLLB: Efficient Translation Models for African Languages](https://aclanthology.org/2026.africanlp-main.30/) *— 2026 · Proceedings of the 7th Workshop on African Natural Language Processing (AfricaNLP 2026)*
5. [AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languages](https://aclanthology.org/2026.acl-long.267/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Alexandria: A Multi-Domain Dialectal Arabic Machine Translation Dataset for Culturally Inclusive and Linguistically Diverse LLMs](https://aclanthology.org/2026.acl-long.1503/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Ancient Greek to Modern Greek Machine Translation: A Novel Benchmark and Fine-Tuning Experiments on LLMs and NMT Models](https://aclanthology.org/2026.lrec-1.684/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
8. [Anton Shpigunov. Improving Domain-Specific Translation from English into Ukrainian with Retrieval-Augmented Generation // UNLP 2026](https://aclanthology.org/2026.unlp-1.1/) *— 2026 · UNLP 2026*
9. [Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-adel-arabic-morphosyntactic-tagging-dependency-parsing/) *— our card · 2026 · arXiv:2603.16718*
10. [AssamLegalTrans: A Parallel Corpus, Benchmark and Analysis for English-Assamese Machine Translation of Legal Judgments](https://aclanthology.org/2026.lrec-1.386/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
11. [Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation](https://aclanthology.org/2026.loresmt-1.13/) *— 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
12. [BRIDGE-MT: A Benchmark for Role Interactions and Dependencies in Machine Translation Gender Evaluation](https://aclanthology.org/2026.amta-research.6/) *— 2026 · Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
13. [BanglaSTEM: A Parallel Corpus and Term-Weighted Evaluation for Technical Bangla-English Translation](https://aclanthology.org/2026.acl-srw.34/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
14. [Benchmarking Speech-to-Speech Translation Models](https://arxiv.org/abs/2606.03241) *— 2026 · arXiv:2606.03241*
15. [Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning](https://aclanthology.org/2026.findings-acl.1438/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
16. [Bidirectional Chinese and English Passive Sentences Dataset for Machine Translation](https://aclanthology.org/2026.lrec-1.681/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
17. [Bringing Mapudungun into the Modern MT Ecosystem: Morphology-Aware Tokenization for NLLB-200 Fine-Tuning](https://aclanthology.org/2026.americasnlp-6.16/) *— 2026 · Proceedings of the Sixth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
18. [COILD: An Indic-Centric Parallel Corpus and Benchmark for Machine Translation Across Indian Languages](https://arxiv.org/abs/2609.28826) *— 2026 · arXiv:2609.28826*
19. [Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2026-setiawan-context-volume-drives-performance-tackling/) *— our card · 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
20. [Data-Centric Approach at the LoResMT 2026 Turkic Translation Challenge: Russian-Kyrgyz](https://aclanthology.org/2026.loresmt-1.22/) *— 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
21. [Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation](https://aclanthology.org/2026.acl-srw.80/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
22. [Evaluating Extremely Low-Resource Machine Translation: A Comparative Study of ChrF++ and BLEU Metrics](https://arxiv.org/abs/2602.17425) *— 2026 · arXiv:2602.17425*
23. [Evaluating Frontier LLM Translation Capability for Lakota](https://aclanthology.org/2026.americasnlp-6.2/) *— 2026 · Proceedings of the Sixth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
24. [Evaluating In-Context Translation with Synchronous Context-Free Grammar Transduction](https://arxiv.org/abs/2604.07320) *— 2026 · arXiv:2604.07320*
25. [Evaluating LLM-Based Translation of a Low-Resource Technical Language: The Medical and Philosophical Greek of Galen](https://arxiv.org/abs/2602.24119) *— 2026 · arXiv:2602.24119*
26. [Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Failures, and Metric Reliability](https://arxiv.org/abs/2606.22269) *— 2026 · arXiv:2606.22269*
27. [Evaluating Prompt Scope and Demonstration Similarity in Local LLM Machine Translation](https://arxiv.org/abs/2607.26286) *— 2026 · arXiv:2607.26286*
28. [Findings of the AmericasNLP 2026 Shared Task on Cultural Image Captioning for Indigenous Languages](https://aclanthology.org/2026.americasnlp-6.27/) *— 2026 · Proceedings of the Sixth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
29. [FormosanMT: A Multilingual Parallel Corpus of the Formosan Language Family](https://aclanthology.org/2026.lrec-1.273/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
30. [From Outliers to Errors: Auditing Pali-to-English LLM Translations with Multi-Reference Adjudication](https://arxiv.org/abs/2606.01136) *— 2026 · arXiv:2606.01136*
31. [From Shijing to English and German: Resources and Evaluation for LLM Translation of Early Chinese Poetry](https://aclanthology.org/2026.findings-acl.542/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
32. [From Words to Worlds: Benchmarking Cross-Cultural Cultural Understanding in Machine Translation](https://arxiv.org/abs/2603.17303) *— 2026 · arXiv:2603.17303*
33. [Gender Bias in MT for a Genderless Language: New Benchmarks for Basque](https://aclanthology.org/2026.lrec-1.705/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
34. [Improving Domain-Specific Translation from English into Ukrainian with Retrieval-Augmented Generation](https://aclanthology.org/2026.unlp-1.1/) *— 2026 · Proceedings of the Fifth Ukrainian Natural Language Processing Conference (UNLP 2026)*
35. [IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding](https://aclanthology.org/2026.gem-main.10/) *— 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)*
36. [IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages](https://arxiv.org/abs/2608.16344) *— 2026 · arXiv:2608.16344*
37. [LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation](https://aclanthology.org/2026.findings-acl.2012/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
38. [MLLP-VRAIN UPV System for the IWSLT 2026 Simultaneous Speech Translation Task](https://aclanthology.org/2026.iwslt-1.24/) *— 2026 · Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026)*
39. [Machine Translation for Low-Resource Languages through Monolingual Data and LLM: A Case Study of English-to-Basque](https://aclanthology.org/2026.eacl-srw.6/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
40. [MekongPhon: A Large-Scale Parallel IPA Corpus for Lao and Khmer](https://aclanthology.org/2026.lrec-1.129/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
41. [Mining Native Ukrainian Paraphrases: A Multi-Source Comparison](https://aclanthology.org/2026.unlp-1.17/) *— 2026 · Proceedings of the Fifth Ukrainian Natural Language Processing Conference (UNLP 2026)*
42. [Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates](https://aclanthology.org/2026.acl-long.865/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [Mitigating Tokenization-Induced Distance Distortion in Long-Context Multilingual Machine Translation](https://aclanthology.org/2026.acl-long.1696/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [Multilingual-To-Multimodal (M2M): Unlocking New Languages with Monolingual Text](https://aclanthology.org/2026.findings-eacl.143/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
45. [Overview of the CRF 2026 Shared Task on Clinical Case Report Forms Filling](https://aclanthology.org/2026.cl4health-1.22/) *— 2026 · Proceedings of the Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026*
46. [PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement Learning](https://aclanthology.org/2026.findings-acl.851/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
47. [PaliBench: A Multi-Reference Blueprint for Classical Language Translation Benchmarks](https://arxiv.org/abs/2605.16881) *— 2026 · arXiv:2605.16881*
48. [PatentVision: A multimodal method for drafting patent applications](https://aclanthology.org/2026.eacl-industry.29/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track)*
49. [PictoEduca: Building a Dataset for Spanish Text-to-Pictogram Generation](https://aclanthology.org/2026.findings-acl.1738/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
50. [QomL''aqtaqa: A Qom–Spanish Parallel Corpus for Natural Language Processing with Machine Translation Evaluation](https://aclanthology.org/2026.americasnlp-6.17/) *— 2026 · Proceedings of the Sixth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
51. [Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training](https://arxiv.org/abs/2608.30609) *— 2026 · arXiv:2608.30609*
52. [Register Sensitivity in Scalar MT Evaluation: Evidence from Spanish–Basque Informal Discourse](https://aclanthology.org/2026.sigul-1.2/) *— 2026 · Proceedings of the SIGUL 2026 Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages*
53. [Revisiting Evaluation of Question Answering Systems in Low-Resource Indic Languages: Bridging Human and Metric Alignment](https://aclanthology.org/2026.acl-short.58/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
54. [Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages](https://aclanthology.org/2026.acl-long.1171/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [Rosetta at AlexandriaX-2026: LoRA-Adapted NileChat for Context-Aware Dialectal Arabic Dialogue Translation](https://arxiv.org/abs/2609.10395) *— 2026 · arXiv:2609.10395*
56. [Santham: A Curated Sanskrit–Tamil Dataset with Anvaya and Segmentation for Building and Evaluating Machine Translation](https://aclanthology.org/2026.iscls-1.5/) *— 2026 · Proceedings of the 8th International Sanskrit Computational Linguistics Symposium*
57. [Simul-COMET: A Quality Metric for Simultaneous Interpretation in Distant Language Pair Considering Word Order Difference](https://aclanthology.org/2026.findings-acl.2110/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
58. [SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic Languages](https://aclanthology.org/2026.lrec-1.683/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
59. [The Ongiini-Eval-OW Benchmark: A Concept Paper for the Planned Benchmarking of Machine Translation and Large Language Models on Oshindonga and Oshikwanyama](https://arxiv.org/abs/2609.31727) *— 2026 · arXiv:2609.31727*
60. [Thesis Proposal: Diagnosing and Mitigating Semantic Interference in Script-Sharing Low-Resource Language Models: A Case Study on Square Bai Script](https://aclanthology.org/2026.acl-srw.43/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
61. [Towards Reward Modeling for AI Tutors in Math Mistake Remediation](https://aclanthology.org/2026.lrec-1.232/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
62. [Translation as a Scalable Proxy for Multilingual Evaluation](https://arxiv.org/abs/2601.11778) *— 2026 · arXiv:2601.11778*
63. [VERA: A Platform for Automatic and Human Evaluation of Machine Translation](https://aclanthology.org/2026.eamt-2.5/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)*
64. [Vladyslav Fesenko; Hanna Dydyk-Meush; Volodymyr Mudryi. Mining Native Ukrainian Paraphrases: A Multi-Source Comparison // UNLP 2026](https://aclanthology.org/2026.unlp-1.17/) *— 2026 · UNLP 2026*
65. [Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation](https://aclanthology.org/2026.eamt-1.4/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
66. [XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics](https://aclanthology.org/2026.findings-acl.1846/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
67. [Advancing Dialectal Arabic to Modern Standard Arabic Machine Translation](https://arxiv.org/abs/2507.20301) *— 2025 · arXiv:2507.20301*
68. [An Empirical Analysis of Machine Translation for Expanding Multilingual Benchmarks](https://aclanthology.org/2025.wmt-1.1/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
69. [An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)](https://aclanthology.org/2025.acl-long.854/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [Batayan: A Filipino NLP benchmark for evaluating Large Language Models](https://aclanthology.org/2025.acl-long.1509/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
71. [CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation](https://aclanthology.org/2025.findings-emnlp.1220/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
72. [Can Large Language Models Translate Unseen Languages in Underrepresented Scripts?](https://aclanthology.org/2025.emnlp-main.1179/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
73. [Cold Starts and Hard Cases: A Two-Stage SFT-RLVR Approach for Legal Machine Translation (Just-NLP L-MT shared task)](https://aclanthology.org/2025.justnlp-main.9/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
74. [DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation](https://aclanthology.org/2025.cl-2.1/) *— 2025 · Computational Linguistics*
75. [Dial2MSA-Verified: A Multi-Dialect Arabic Social Media Dataset for Neural Machine Translation to Modern Standard Arabic](https://aclanthology.org/2025.wacl-1.6/) *— 2025 · Proceedings of the 4th Workshop on Arabic Corpus Linguistics (WACL-4)*
76. [Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding](https://aclanthology.org/2025.acl-long.1410/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
77. [DocHPLT: A Massively Multilingual Document-Level Translation Dataset](https://aclanthology.org/2025.wmt-1.17/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
78. [Efficient Continual Pre-training of LLMs for Low-resource Languages](https://aclanthology.org/2025.naacl-industry.25/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)*
79. [Efficient Speech Translation through Model Compression and Knowledge Distillation](https://arxiv.org/abs/2505.20237) *— 2025 · arXiv:2505.20237 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
80. [Evaluating IndicTrans2 and ByT5 for English–Santali Machine Translation Using the Ol Chiki Script](https://aclanthology.org/2025.mmloso-1.9/) *— 2025 · Proceedings of the 1st Workshop on Multimodal Models for Low-Resource Contexts and Social Impact (MMLoSo 2025)*
81. [Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users](https://aclanthology.org/2025.acl-long.1260/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
82. [Evaluating the Feasibility of Using ChatGPT for Cross-cultural Survey Translation](https://aclanthology.org/2025.konvens-1.16/) *— 2025 · Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers*
83. [Evaluation of LLM for English to Hindi Legal Domain Machine Translation Systems](https://aclanthology.org/2025.wmt-1.57/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
84. [Exploiting Word Sense Disambiguation in Large Language Models for Machine Translation](https://aclanthology.org/2025.loreslm-1.10/) *— 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
85. [Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs](https://aclanthology.org/2025.emnlp-main.1023/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
86. [Findings of the AmericasNLP 2025 Shared Tasks on Machine Translation, Creation of Educational Material, and Translation Metrics for Indigenous Languages of the Americas](https://aclanthology.org/2025.americasnlp-1.16/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
87. [Findings of the IWSLT 2025 Evaluation Campaign](https://aclanthology.org/2025.iwslt-1.44/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
88. [Findings of the JUST-NLP 2025 Shared Task on English-to-Hindi Legal Machine Translation](https://aclanthology.org/2025.justnlp-main.3/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
89. [Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning, Generation, and Evaluation](https://aclanthology.org/2025.wmt-1.23/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
90. [Findings of the WMT25 Shared Task on Automated Translation Evaluation Systems: Linguistic Diversity is Challenging and References Still Help](https://aclanthology.org/2025.wmt-1.24/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
91. [Findings of the WMT25 Terminology Translation Task: Terminology is Useful Especially for Good MTs](https://aclanthology.org/2025.wmt-1.30/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
92. [GPT4AMR: Does LLM-based Paraphrasing Improve AMR-to-text Generation Fluency?](https://aclanthology.org/2025.winlp-main.2/) *— 2025 · Proceedings of the 9th Widening NLP Workshop*
93. [Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation](https://aclanthology.org/2025.acl-long.919/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning](https://aclanthology.org/2025.acl-long.1447/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress](https://aclanthology.org/2025.acl-short.63/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
96. [Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation](https://aclanthology.org/2025.bea-1.63/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
97. [M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis](https://aclanthology.org/2025.emnlp-main.128/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
98. [MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation](https://aclanthology.org/2025.coling-main.346/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
99. [MITRA-zh-eval: Using a Buddhist Chinese Language Evaluation Dataset to Assess Machine Translation and Evaluation Metrics](https://aclanthology.org/2025.nlp4dh-1.12/) *— 2025 · Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities*
100. [Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets](https://aclanthology.org/2025.cl-1.4/) *— 2025 · Computational Linguistics*

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