---
title: "Who cites A Call for Clarity in Reporting BLEU Scores"
description: "The papers of the Elamur Research library that cite «A Call for Clarity in Reporting BLEU Scores», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Call for Clarity in Reporting BLEU Scores](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/) / cited by

# Who cites «A Call for Clarity in Reporting BLEU Scores»

2102 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/3/) · [4](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/4/) · [5](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/5/) · [6](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/6/) · [7](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/7/) · [8](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/8/) · [9](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/9/) · [10](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/10/) · [11](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/11/) · [12](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/12/) · [13](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/13/) · [14](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/14/) · [15](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/15/) · [16](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/16/) · [17](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/17/) · [18](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/18/) · [19](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/19/) · [20](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/20/) · [21](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/21/) · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)

1. [A Critical Study of Automatic Evaluation in Sign Language Translation](https://aclanthology.org/2026.lrec-1.749/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [A Longitudinal Study of the Adoption of Specialized MT Systems in Canadian Parliamentary Translation](https://aclanthology.org/2026.eamt-2.32/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)*
3. [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*
4. [AdaptBPE: From General Purpose to Specialized Tokenizers](https://aclanthology.org/2026.eacl-long.119/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [Adapting Multilingual NMT to Language Isolates: The Role of Proxy Language Selection and Dialect Handling for Nivkh](https://aclanthology.org/2026.loresmt-1.11/) *— 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
6. [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)*
7. [AlignFix: A Tool for Parallel Corpora Augmentation and Refinement](https://aclanthology.org/2026.eacl-demo.17/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
8. [Aligned Parallel Corpus of the Vedic Saṁhitās for Machine Translation](https://aclanthology.org/2026.lrec-1.272/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
9. [Ara-HOPE: Human-Centric Post-Editing Evaluation for Dialectal Arabic to Modern Standard Arabic Translation](https://aclanthology.org/2026.vardial-1.13/) *— 2026 · Proceedings of the 13th Workshop on NLP for Similar Languages, Varieties and Dialects*
10. [Assessing the Impact of Typological Features on Multilingual Machine Translation in the Age of Large Language Models](https://aclanthology.org/2026.eacl-long.109/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [Assessing the Political Fairness of Multilingual LLMs: A Case Study Based on a 21-Way Multiparallel EuroParl Dataset](https://aclanthology.org/2026.lrec-1.17/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
12. [Augmenting Text to Increase Translation Difficulty](https://aclanthology.org/2026.eamt-1.21/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
13. [Automatic Correction of Writing Anomalies in Hausa Texts](https://aclanthology.org/2026.acl-long.430/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [BOOM: Beyond Only One Modality KIT”s Multimodal Multilingual Lecture Companion](https://aclanthology.org/2026.eacl-demo.14/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
15. [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)*
16. [Benchmarking Linguistic Adaptation in Comparable-Sized LLMs: A Study of Llama-3.1-8B, Mistral-7B-v0.1, and Qwen3-8B on Romanized Nepali](https://arxiv.org/abs/2604.14171) *— 2026 · arXiv:2604.14171*
17. [Benchmarking Speech-to-Speech Translation Models](https://arxiv.org/abs/2606.03241) *— 2026 · arXiv:2606.03241*
18. [Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach](https://aclanthology.org/2026.acl-industry.22/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)*
19. [Biases in Translation: Assessing Opinion Distortion in Machine Translated Texts](https://aclanthology.org/2026.lrec-1.679/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
20. [Breaking Consensus Bias: Unsupervised Reinforcement Learning for Machine Translation](https://aclanthology.org/2026.findings-acl.1042/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
21. [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)*
22. [Building and Evaluating a High Quality Parallel Corpus for English Urdu Low Resource Machine Translation](https://aclanthology.org/2026.loresmt-1.8/) *— 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
23. [CLICKER: Cross-Lingual Knowledge Editing via In-Context Learning with Adaptive Stepwise Reasoning](https://aclanthology.org/2026.findings-eacl.264/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
24. [CTC Regularization for Low-Resource Speech-to-Text Translation](https://aclanthology.org/2026.loresmt-1.15/) *— 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
25. [Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?](https://aclanthology.org/2026.loresmt-1.14/) *— 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
26. [Can Multi-agent Help Disambiguation in Multi-domain Translation?](https://aclanthology.org/2026.findings-acl.907/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
27. [CoDial: Interpretable Task-Oriented Dialogue Systems Through Dialogue Flow Alignment](https://aclanthology.org/2026.acl-long.1980/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
28. [Comparative Evaluation of Machine Translation Systems on Images with Text](https://arxiv.org/abs/2605.29476) *— 2026 · arXiv:2605.29476*
29. [Completely Modular Fine-tuning for Dynamic Language Adaptation](https://aclanthology.org/2026.findings-eacl.252/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
30. [Context-Driven and Reference-Guided Data Augmentation for Subtitle Translation](https://aclanthology.org/2026.findings-acl.2059/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
31. [Cross-Examination Framework: A Task-Agnostic Diagnostic for Information Fidelity in Text-to-Text Generation](https://aclanthology.org/2026.acl-long.1761/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness](https://arxiv.org/abs/2608.09766) *— 2026 · arXiv:2608.09766*
33. [Culturally Grounded Image Captioning in Indigenous Languages with Vision-Language Models: Cascaded and Single-Stage Approaches](https://aclanthology.org/2026.americasnlp-6.23/) *— 2026 · Proceedings of the Sixth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
34. [Current state of LLMs for Arabic dialectal machine translation](https://aclanthology.org/2026.abjadnlp-1.41/) *— 2026 · Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script*
35. [DART: Disambiguation-Aware Reasoning for Video-guided Machine Translation](https://aclanthology.org/2026.acl-long.352/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [Data Contamination in Neural Hieroglyphic Translation: A Reproducibility Study](https://aclanthology.org/2026.nlp4dh-1.6/) *— 2026 · Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities*
37. [Data-Centric Continual Pre-training for 500+ Languages: A New Bilingual Translation Corpus and Multilingual Models](https://aclanthology.org/2026.findings-acl.937/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
38. [Decision-Making with Deliberation: Meta-reviewing as a Document-grounded Dialogue](https://aclanthology.org/2026.eacl-long.158/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Deer, Deities, and Dancing: Culturally Biased LLM Hallucination in Low-Resource Wixárika Translation](https://aclanthology.org/2026.americasnlp-6.7/) *— 2026 · Proceedings of the Sixth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
40. [Desarrollo de modelos de TAN para las lenguas románicas de la península ibérica](http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6833) *— 2026 · Procesamiento del Lenguaje Natural, Vol. 76 (2026)*
41. [Diversity and Homogenisation in Generative AI Translation: A Comparative Study of English-Dutch Translation Across Domains](https://aclanthology.org/2026.eamt-1.6/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
42. [Domain Adaptation of Image Encoder for Multimodal Manga Translation](https://aclanthology.org/2026.eacl-srw.3/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
43. [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)*
44. [EPIC-EuroParl-UdS: Information-Theoretic Perspectives on Translation and Interpreting](https://aclanthology.org/2026.lrec-1.557/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
45. [Enrich, Aggregate, and Generate: Three-stage Biomedical Data-to-Text Generation Using Large Language Models in Low-resource Scenarios](https://aclanthology.org/2026.findings-acl.1875/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
46. [Evaluating Extremely Low-Resource Machine Translation: A Comparative Study of ChrF++ and BLEU Metrics](https://arxiv.org/abs/2602.17425) *— 2026 · arXiv:2602.17425*
47. [Evaluating In-Context Translation with Synchronous Context-Free Grammar Transduction](https://arxiv.org/abs/2604.07320) *— 2026 · arXiv:2604.07320*
48. [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*
49. [Evaluating Multimodal Large Language Models on Vertically Written Japanese Text](https://aclanthology.org/2026.lrec-1.713/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
50. [Evaluating Prompt Scope and Demonstration Similarity in Local LLM Machine Translation](https://arxiv.org/abs/2607.26286) *— 2026 · arXiv:2607.26286*
51. [Evaluating Task-oriented Dialogue Systems: A Systematic Review of Measures, Constructs and their Operationalisations](https://nejlt.ep.liu.se/article/view/5940) *— 2026 · Northern European Journal of Language Technology*
52. [Evaluation of Pose Estimation Systems for Sign Language Translation](https://aclanthology.org/2026.signlang-1.39/) *— 2026 · Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion*
53. [Every Word Presented in Context: Syntactic Coverage as Objective for Low-Resource Machine Translation with Large Language Models](https://aclanthology.org/2026.lrec-1.694/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
54. [Exploring the Capability Boundaries of LLMs in Mastering of Chinese Chouxiang Language](https://aclanthology.org/2026.findings-acl.128/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
55. [FAME: Fictional Actors for Multilingual Erasure](https://aclanthology.org/2026.lrec-1.200/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
56. [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*
57. [From Outliers to Errors: Auditing Pali-to-English LLM Translations with Multi-Reference Adjudication](https://arxiv.org/abs/2606.01136) *— 2026 · arXiv:2606.01136*
58. [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*
59. [Fuzzy Matching and Sentence Embeddings for Few-shot Machine Translation with Large Language Models](https://aclanthology.org/2026.eamt-1.34/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
60. [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*
61. [HOTATE: A Japanese Dialogue Corpus Annotated with Responses of Private Thoughts and Public Statements](https://aclanthology.org/2026.lrec-1.233/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
62. [How Important is `Perfect' English for Machine Translation Prompts?](https://aclanthology.org/2026.findings-eacl.38/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
63. [How multilingual are multilingual LLMs? A case study in Northern Sámi-Finnish Translation](https://aclanthology.org/2026.loreslm-1.42/) *— 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)*
64. [I”m Sorry, but I Can”t Help with Braille: Revealing Accessibility Failures in State-of-the-Art LLMs](https://aclanthology.org/2026.ltedi-1.8/) *— 2026 · Proceedings of the Sixth Workshop on Language Technology for Equality, Diversity, Inclusion*
65. [Improving Retrieval-Augmented Neural Machine Translation with Monolingual Data](https://aclanthology.org/2026.eamt-1.27/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
66. [In-Image Machine Translation. A Preliminary Modular Approach](https://aclanthology.org/2026.eacl-srw.38/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
67. [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)*
68. [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*
69. [IndicSafe: A Benchmark for Evaluating Multilingual LLM Safety in South Asia](https://arxiv.org/abs/2603.17915) *— 2026 · arXiv:2603.17915*
70. [Interlinear Glosses as a Multilingual Pivot for Machine Translation: An Updated Study on Turkish with Restricted Resources](https://aclanthology.org/2026.sigul-1.19/) *— 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*
71. [J-Shuwa: A Large-Scale Web-Collected Japanese Sign Language-Japanese Parallel Corpus](https://aclanthology.org/2026.findings-acl.1821/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
72. [KD4MT: A Survey of Knowledge Distillation for Machine Translation](https://arxiv.org/abs/2602.15845) *— 2026 · arXiv:2602.15845*
73. [LIMP: Linguistically-Informed Multi-Strategy Prompting for Telugu Multi-Turn Dialogue Generation](https://aclanthology.org/2026.dravidianlangtech-1.5/) *— 2026 · Proceedings of the Sixth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages*
74. [LLM Evaluation in Practice: A Review of Metrics, Practitioner Insights, and Lessons Learned](https://aclanthology.org/2026.llms4ssh-1.3/) *— 2026 · Proceedings of Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities (LLMs4SSH) @ LREC 2026*
75. [Leveraging Comparable Toxicity Lexicons in Prompt Instructions for Multilingual Text Detoxification](https://aclanthology.org/2026.bucc-1.12/) *— 2026 · Proceedings of the 19th Workshop on Building and Using Comparable Corpora (BUCC)*
76. [MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond](https://arxiv.org/abs/2607.22100) *— 2026 · arXiv:2607.22100*
77. [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)*
78. [MT$^3$: A Synergistic Multi-Task RL Framework for Specializing MLLMs in Text Image Machine Translation](https://aclanthology.org/2026.acl-long.460/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
79. [Medical Summarization in Practice: Design, Deployment, and Analysis of a Clinical Summarization System for a German Hospital](https://aclanthology.org/2026.eacl-industry.34/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track)*
80. [MetaDocEval: A Contrastive Framework for Evaluating Machine Translation Metrics at the Document-Level](https://aclanthology.org/2026.eamt-1.19/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
81. [Mimicking Neural Machine Translation History for Pedagogic Reasons](https://aclanthology.org/2026.taitt-1.3/) *— 2026 · Proceedings of the 1st International Workshop on Teaching AI-Based Translation and Technologies (TAITT 2026)*
82. [Mind the Pause: Disfluency-Aware Objective Tuning for Multilingual Speech Correction with LLMs](https://aclanthology.org/2026.acl-long.2137/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Multilingual Steering by Design: Multilingual Sparse Autoencoders and Principled Layer Selection](https://aclanthology.org/2026.trustnlp-main.24/) *— 2026 · Proceedings of the 6th Workshop on Trustworthy NLP (TrustNLP 2026)*
84. [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*
85. [Multiway Parallel Corpus in Forced Migration Domain for Multilingual Machine Translation](https://aclanthology.org/2026.lrec-1.384/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
86. [NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task](https://arxiv.org/abs/2609.27086) *— 2026 · arXiv:2609.27086*
87. [NRD: A Hybrid Disentanglement Framework for Mitigating Interference in Multilingual Machine Translation](https://aclanthology.org/2026.lrec-1.677/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
88. [NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs](https://aclanthology.org/2026.acl-long.1153/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [OpenSeal: Good, Fast, and Cheap Construction of an Open-Source Southeast Asian LLM via Parallel Data](https://arxiv.org/abs/2602.02266) *— 2026 · arXiv:2602.02266*
90. [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*
91. [PaliBench: A Multi-Reference Blueprint for Classical Language Translation Benchmarks](https://arxiv.org/abs/2605.16881) *— 2026 · arXiv:2605.16881*
92. [Pantagruel: Unified Self-Supervised Encoders for French Text and Speech](https://aclanthology.org/2026.lrec-1.799/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
93. [Patient2Paper at \#SMM4H-HeaRD 2026: Retrieval-Augmented Few-Shot Generation for Clinical Note Synthesis](https://aclanthology.org/2026.smm4h-1.11/) *— 2026 · Proceedings of the 11th Social Media Mining for Health Research and Applications (SMM4H-HeaRD 2026) Workshop and Shared Tasks*
94. [Pearmut: Human Evaluation of Translation Made Trivial](https://arxiv.org/abs/2601.02933) *— 2026 · arXiv:2601.02933*
95. [Probabilistic Bilingual Subword Segmentation with Latent Subword Alignment](https://aclanthology.org/2026.eacl-srw.40/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
96. [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)*
97. [Reasoning over Grammar: Can Synthetic Linguistic Reasoning Traces Enhance Low-Resource Machine Translation?](https://arxiv.org/abs/2606.03782) *— 2026 · arXiv:2606.03782*
98. [Reference-Free Reinforcement Learning Fine-Tuning for MT: A Seq2Seq Perspective](https://arxiv.org/abs/2605.15976) *— 2026 · arXiv:2605.15976*
99. [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*
100. [Representation Collapse in Machine Translation Through the Lens of Angular Dispersion](https://aclanthology.org/2026.findings-eacl.126/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/3/) · [4](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/4/) · [5](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/5/) · [6](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/6/) · [7](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/7/) · [8](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/8/) · [9](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/9/) · [10](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/10/) · [11](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/11/) · [12](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/12/) · [13](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/13/) · [14](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/14/) · [15](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/15/) · [16](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/16/) · [17](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/17/) · [18](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/18/) · [19](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/19/) · [20](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/20/) · [21](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/21/) · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)