---
title: "Who cites Satanjeev Banerjee"
description: "2,137 papers of the Elamur Research library cite the works of Satanjeev Banerjee, found in their bibliographies · page 1 of 2 · 1–100; the most cited first."
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---
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# Who cites Satanjeev Banerjee

2,137 citations of their works from 2,137 papers of our library (of the 140,884 whose bibliographies we read) · 109 with a page here, the most cited first · page 1 of 2 · 1–100 · [← Satanjeev Banerjee](https://md.research.elamur.ai/free/en/authors/satanjeev-banerjee/)

**1** [2](https://md.research.elamur.ai/free/en/authors/satanjeev-banerjee/cited-by/page/2/) [next →](https://md.research.elamur.ai/free/en/authors/satanjeev-banerjee/cited-by/page/2/)

1. [**A Study of Translation Edit Rate with Targeted Human Annotation**Matthew Snover, Bonnie Dorr, Rich Schwartz, et al.*2006 · 3,824 citations*](https://md.research.elamur.ai/free/en/papers/snover-2006-study-translation-edit-rate-targeted/)
2. [**Self-critical Sequence Training for Image Captioning**Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, et al.*2016 · 2,367 citations*](https://md.research.elamur.ai/free/en/papers/rennie-2016-self-critical-sequence-training-image/)
3. [**Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models**Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.*2022 · 1,695 citations*](https://md.research.elamur.ai/free/en/papers/srivastava-2022-imitation-game-quantifying-extrapolating-capabilities/)
4. [**Evaluating WordNet-based Measures of Lexical Semantic Relatedness**Alexander Budanitsky, Graeme Hirst*2006 · 1,610 citations*](https://md.research.elamur.ai/free/en/papers/budanitsky-2006-evaluating-wordnet-based-measures-lexical/)
5. [**CLIPScore: A Reference-free Evaluation Metric for Image Captioning**Jack Hessel, Ari Holtzman, Maxwell Forbes, et al.*2021 · 1,498 citations*](https://md.research.elamur.ai/free/en/papers/hessel-2021-clipscore-reference-free-evaluation-metric/)
6. [**MS MARCO: A Human Generated MAchine Reading COmprehension Dataset**Payal Bajaj, Daniel Campos, Nick Craswell, et al.*2016 · 1,103 citations*](https://md.research.elamur.ai/free/en/papers/bajaj-2016-ms-marco-human-generated/)
7. [**Dependency-Based Construction of Semantic Space Models**Sebastian Padó, Mirella Lapata*2007 · 906 citations*](https://md.research.elamur.ai/free/en/papers/pado-2007-dependency-based-construction-semantic-space/)
8. [**A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity**Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.*2023 · 866 citations*](https://md.research.elamur.ai/free/en/papers/bang-2023-multitask-multilingual-multimodal-evaluation-chatgpt/)
9. [**CIDEr: Consensus-based Image Description Evaluation**Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh*2014 · 733 citations*](https://md.research.elamur.ai/free/en/papers/vedantam-2014-cider-consensus-based-image-description/)
10. [**Style Transfer in Text: Exploration and Evaluation**Zhenxin Fu, Xiaoye Tan, Nanyun Peng, et al.*2017 · 701 citations*](https://md.research.elamur.ai/free/en/papers/fu-2017-style-transfer-text-exploration-evaluation/)
11. [**Object Hallucination in Image Captioning**Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, et al.*2018 · 617 citations*](https://md.research.elamur.ai/free/en/papers/rohrbach-2018-object-hallucination-image-captioning/)
12. [**Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges**Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.*2019 · 555 citations*](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-massively-multilingual-neural-machine-translation/)
13. [**Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems**Michael Denkowski, Alon Lavie*2011 · 541 citations*](https://md.research.elamur.ai/free/en/papers/denkowski-2011-meteor-1-3-automatic-metric/)
14. [**A Structured Review of the Validity of BLEU**Ehud Reiter*2018 · 538 citations*](https://md.research.elamur.ai/free/en/papers/reiter-2018-structured-review-validity-bleu/)
15. [**Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning**Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.*2019 · 536 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-cosmos-qa-machine-reading-comprehension/)
16. [**How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation**Chia-Wei Liu, Ryan Lowe, Iulian Serban, et al.*2016 · 500 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-how-not-evaluate-your-dialogue/)
17. [**A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge**Dustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.*2022 · 490 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2022-okvqa-benchmark-visual-question-answering/)
18. [**Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses**Ryan Lowe, Michael Noseworthy, Iulian V. Serban, et al.*2017 · 486 citations*](https://md.research.elamur.ai/free/en/papers/lowe-2017-towards-automatic-turing-test-learning/)
19. [**Findings of the 2015 Workshop on Statistical Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2015 · 461 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/)
20. [**OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework**Peng Wang, An Yang, Rui Men, et al.*2022 · 452 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-ofa-unifying-architectures-tasks-modalities/)
21. [**UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training**Hangbo Bao, Li Dong, Furu Wei, et al.*2020 · 380 citations*](https://md.research.elamur.ai/free/en/papers/bao-2020-unilmv2-pseudo-masked-language-models/)
22. [**A Survey on Large Language Models for Code Generation**Juyong Jiang, Fan Wang, Jiasi Shen, et al.*2024 · 366 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2024-survey-large-language-models-code/)
23. [**Augmented Language Models: a Survey**Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.*2023 · 362 citations*](https://md.research.elamur.ai/free/en/papers/mialon-2023-augmented-language-models-survey/)
24. [**ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate**Chi-Min Chan, Weize Chen, Yusheng Su, et al.*2023 · 351 citations*](https://md.research.elamur.ai/free/en/papers/chan-2023-chateval-better-llm-based/)
25. [**Paraphrasing for Automatic Evaluation**David Kauchak, Regina Barzilay*2006 · 321 citations*](https://md.research.elamur.ai/free/en/papers/kauchak-2006-paraphrasing-automatic-evaluation/)
26. [**GSum: A General Framework for Guided Neural Abstractive Summarization**Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.*2021 · 317 citations*](https://md.research.elamur.ai/free/en/papers/dou-2021-gsum-general-framework-guided-neural/)
27. [**A Neural Network Approach to Context-Sensitive Generation of Conversational Responses**Alessandro Sordoni, Michel Galley, Michael Auli, et al.*2015 · 307 citations*](https://md.research.elamur.ai/free/en/papers/sordoni-2015-neural-network-approach-context-sensitive/)
28. [**Abductive Commonsense Reasoning**Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.*2019 · 301 citations*](https://md.research.elamur.ai/free/en/papers/bhagavatula-2019-abductive-commonsense-reasoning/)
29. [**Re-evaluating the Role of Bleu in Machine Translation Research**Chris Callison-Burch, Miles Osborne, Philipp Koehn*2006 · 292 citations*](https://md.research.elamur.ai/free/en/papers/burch-2006-re-evaluating-role-bleu-machine/)
30. [**A Benchmark Dataset for Learning to Intervene in Online Hate Speech**Jing Qian, Anna Bethke, Yinyin Liu, et al.*2019 · 290 citations*](https://md.research.elamur.ai/free/en/papers/qian-2019-benchmark-dataset-learning-intervene-online/)
31. [**Machine Translation of Arabic Dialects**Rabih Zbib, Erika Malchiodi, Jacob Devlin, et al.*2012 · 285 citations*](https://md.research.elamur.ai/free/en/papers/zbib-2012-machine-translation-arabic-dialects/)
32. [**AlignScore: Evaluating Factual Consistency with A Unified Alignment Function**Yuheng Zha, Yichi Yang, Ruichen Li, et al.*2023 · 280 citations*](https://md.research.elamur.ai/free/en/papers/zha-2023-alignscore-evaluating-factual-consistency-unified/)
33. [**Learning Neural Templates for Text Generation**Sam Wiseman, Stuart Shieber, Alexander Rush*2018 · 279 citations*](https://md.research.elamur.ai/free/en/papers/wiseman-2018-learning-neural-templates-text-generation/)
34. [**Similarity of Semantic Relations**Peter D. Turney*2006 · 277 citations*](https://md.research.elamur.ai/free/en/papers/turney-2006-similarity-semantic-relations/)
35. [**Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing**Brian Thompson, Matt Post*2020 · 259 citations*](https://md.research.elamur.ai/free/en/papers/thompson-2020-automatic-machine-translation-evaluation-many/)
36. [**MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers**Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.*2021 · 243 citations*](https://md.research.elamur.ai/free/en/papers/pillutla-2021-mauve-measuring-gap-between-neural/)
37. [**The Curious Case of Hallucinations in Neural Machine Translation**Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt*2021 · 240 citations*](https://md.research.elamur.ai/free/en/papers/raunak-2021-curious-case-hallucinations-neural-machine/)
38. [**LaMP: When Large Language Models Meet Personalization**Alireza Salemi, Sheshera Mysore, Michael Bendersky, et al.*2024 · 239 citations*](https://md.research.elamur.ai/free/en/papers/salemi-2024-lamp-when-large-language-models/)
39. [**Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders**Terra Blevins, Luke Zettlemoyer*2020 · 232 citations*](https://md.research.elamur.ai/free/en/papers/blevins-2020-moving-down-long-tail-word/)
40. [**Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation**Amit Moryossef, Yoav Goldberg, Ido Dagan*2019 · 230 citations*](https://md.research.elamur.ai/free/en/papers/moryossef-2019-step-step-separating-planning-realization/)
41. [**BLEU might be Guilty but References are not Innocent**Markus Freitag, David Grangier, Isaac Caswell*2020 · 223 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2020-bleu-might-be-guilty-but/)
42. [**Compressing Context to Enhance Inference Efficiency of Large Language Models**Yucheng Li, Bo Dong, Frank Guerin, et al.*2023 · 208 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-compressing-context-enhance-inference-efficiency/)
43. [**(Meta-) Evaluation of Machine Translation**Chris Callison-Burch, Cameron Fordyce, Philipp Koehn, et al.*2007 · 206 citations*](https://md.research.elamur.ai/free/en/papers/burch-2007-meta-evaluation-machine-translation/)
44. [**Towards a Unified Multi-Dimensional Evaluator for Text Generation**Ming Zhong, Yang Liu, Da Yin, et al.*2022 · 204 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2022-unified-multi-dimensional-evaluator-text/)
45. [**Investigating Backtranslation in Neural Machine Translation**Alberto Poncelas, Dimitar Shterionov, Andy Way, et al.*2018 · 184 citations*](https://md.research.elamur.ai/free/en/papers/poncelas-2018-investigating-backtranslation-neural-machine-translation/)
46. [**AudioCaps: Generating Captions for Audios in The Wild**Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, et al.*2019 · 176 citations*](https://md.research.elamur.ai/free/en/papers/kim-2019-audiocaps-generating-captions-audios-wild/)
47. [**The IIT Bombay English-Hindi Parallel Corpus**Anoop Kunchukuttan, Pratik Mehta, Pushpak Bhattacharyya*2018 · 174 citations*](https://md.research.elamur.ai/free/en/papers/kunchukuttan-2018-iit-bombay-english-hindi-parallel/)
48. [**Controllable Paraphrase Generation with a Syntactic Exemplar**Mingda Chen, Qingming Tang, Sam Wiseman, et al.*2019 · 173 citations*](https://md.research.elamur.ai/free/en/papers/chen-2019-controllable-paraphrase-generation-syntactic-exemplar/)
49. [**The First Surface Realisation Shared Task: Overview and Evaluation Results**Anja Belz, Michael White, Dominic Espinosa, et al.*2011 · 172 citations*](https://md.research.elamur.ai/free/en/papers/belz-2011-first-surface-realisation-shared-task/)
50. [**A-MEM: Agentic Memory for LLM Agents**Wujiang Xu, Zujie Liang, Kai Mei, et al.*2025 · 171 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-mem-agentic-memory-llm-agents/)
51. [**CDER: Efficient MT Evaluation Using Block Movements**Gregor Leusch, Nicola Ueffing, Hermann Ney*2006 · 171 citations*](https://md.research.elamur.ai/free/en/papers/leusch-2006-cder-efficient-mt-evaluation-block/)
52. [**Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity**Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.*2023 · 169 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-factuality-large-language-models/)
53. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 166 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
54. [**Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation**Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, et al.*2019 · 163 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2019-submodular-optimization-based-diverse-paraphrasing/)
55. [**Explanations for CommonsenseQA: New Dataset and Models**Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, et al.*2021 · 162 citations*](https://md.research.elamur.ai/free/en/papers/aggarwal-2021-explanations-commonsenseqa-new-dataset-models/)
56. [**Evaluating Style Transfer for Text**Remi Mir, Bjarke Felbo, Nick Obradovich, et al.*2019 · 154 citations*](https://md.research.elamur.ai/free/en/papers/mir-2019-evaluating-style-transfer-text/)
57. [**Graph Pre-training for AMR Parsing and Generation**Xuefeng Bai, Yulong Chen, Yue Zhang*2022 · 153 citations*](https://md.research.elamur.ai/free/en/papers/bai-2022-graph-pre-training-amr-parsing/)
58. [**Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation**Nuno M. Guerreiro, Elena Voita, André Martins*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-looking-needle-haystack-comprehensive-study/)
59. [**SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation**Xutai Ma, Mohammad Javad Dousti, Changhan Wang, et al.*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/ma-2020-simuleval-evaluation-toolkit-simultaneous-translation/)
60. [**Long-term Recurrent Convolutional Networks for Visual Recognition and Description**Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.*2014 · 142 citations*](https://md.research.elamur.ai/free/en/papers/donahue-2014-long-term-recurrent-convolutional-networks/)
61. [**On The Evaluation of Machine Translation Systems Trained With Back-Translation**Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.*2020 · 139 citations*](https://md.research.elamur.ai/free/en/papers/edunov-2020-evaluation-machine-translation-systems-trained/)
62. [**NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics**Ximing Lu, Sean Welleck, Peter West, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/lu-2022-neurologic-esque-decoding-constrained-text/)
63. [**MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility based on semantic roles**Chi-kiu Lo, Dekai Wu*2011 · 134 citations*](https://md.research.elamur.ai/free/en/papers/lo-2011-meant-inexpensive-high-accuracy-semi/)
64. [**Automatic Interpretation of Noun Compounds Using WordNet Similarity**Su Nam Kim, Timothy Baldwin*2005 · 134 citations*](https://md.research.elamur.ai/free/en/papers/kim-2005-automatic-interpretation-noun-compounds-wordnet/)
65. [**Syntax-Guided Controlled Generation of Paraphrases**Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, et al.*2020 · 131 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2020-syntax-guided-controlled-generation-paraphrases/)
66. [**INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback**Wenda Xu, Danqing Wang, Liangming Pan, et al.*2023 · 122 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-instructscore-explainable-text-generation-evaluation/)
67. [**Fluency, Adequacy, or HTER? Exploring Different Human Judgments with a Tunable MT Metric**Matthew Snover, Nitin Madnani, Bonnie Dorr, et al.*2009 · 115 citations*](https://md.research.elamur.ai/free/en/papers/snover-2009-fluency-adequacy-or-hter-exploring/)
68. [**MLSUM: The Multilingual Summarization Corpus**Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.*2020 · 114 citations*](https://md.research.elamur.ai/free/en/papers/scialom-2020-mlsum-multilingual-summarization-corpus/)
69. [**Generationary or «How We Went beyond Word Sense Inventories and Learned to Gloss»**Michele Bevilacqua, Marco Maru, Roberto Navigli*2020 · 90 citations*](https://md.research.elamur.ai/free/en/papers/bevilacqua-2020-generationary/)
70. [**BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation**Yuchen Jiang, Tianyu Liu, Shuming Ma, et al.*2022 · 85 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2022-blonde-automatic-evaluation-metric-document/)
71. [**HUME: Human UCCA-Based Evaluation of Machine Translation**Alexandra Birch, Omri Abend, Ondřej Bojar, et al.*2016 · 58 citations*](https://md.research.elamur.ai/free/en/papers/birch-2016-hume-human-ucca-based-evaluation/)
72. [**Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity**Brian Thompson, Matt Post*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/thompson-2020-paraphrase-generation-as-zero-shot/)
73. [**A Modular Architecture for Unsupervised Sarcasm Generation**Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan*2019 · 51 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2019-modular-architecture-unsupervised-sarcasm-generation/)
74. [**Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer**Eleftheria Briakou, Sweta Agrawal, Joel Tetreault, et al.*2021 · 49 citations*](https://md.research.elamur.ai/free/en/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/)
75. [**Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human Judgments**Marina Fomicheva, Lucia Specia*2019 · 44 citations*](https://md.research.elamur.ai/free/en/papers/fomicheva-2019-taking-mt-evaluation-metrics-extremes/)
76. [**Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings**Timothee Mickus, Kees Van Deemter, Mathieu Constant, et al.*2022 · 38 citations*](https://md.research.elamur.ai/free/en/papers/mickus-2022-codwoe-dictionaries-embeddings/)
77. [**MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem**Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, et al.*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/perrella-2022-matese-machine-translation-evaluation-as/)
78. [**Feature-Rich Translation by Quasi-Synchronous Lattice Parsing**Kevin Gimpel, Noah A. Smith*2009 · 30 citations*](https://md.research.elamur.ai/free/en/papers/gimpel-2009-feature-rich-translation-quasi-synchronous/)
79. [**To Exhibit is not to Loiter: A Multilingual, Sense-Disambiguated Wiktionary for Measuring Verb Similarity**Christian M. Meyer, Iryna Gurevych*2012 · 29 citations*](https://md.research.elamur.ai/free/en/papers/meyer-2012-sense-disambiguated-wiktionary/)
80. [**MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response**Zihao Deng, Yinghao Ma, Yudong Liu, et al.*2024 · 27 citations*](https://md.research.elamur.ai/free/en/papers/deng-2024-musilingo-bridging-music-text-pre/)
81. [**Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation**Liqiang Jing, Xuemeng Song, Kun Ouyang, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/jing-2023-multi-source-semantic-graph-based/)
82. [**A Human Evaluation of AMR-to-English Generation Systems**Emma Manning, Shira Wein, Nathan Schneider*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/manning-2020-human-evaluation-amr-english-generation/)
83. [**Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation**Partha Pakray, Santanu Pal, Advaitha Vetagiri, et al.*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/pakray-2024-findings-wmt-2024-shared-task/)
84. [**KoBE: Knowledge-Based Machine Translation Evaluation**Zorik Gekhman, Roee Aharoni, Genady Beryozkin, et al.*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/gekhman-2020-kobe-knowledge-based-machine-translation/)
85. [**Semi-automatic error analysis for large-scale statistical machine translation**Katrin Kirchhoff, Owen Rambow, Nizar Habash, et al.*2007 · 19 citations*](https://md.research.elamur.ai/free/en/papers/kirchhoff-2007-semi-automatic-error-analysis-large/)
86. [**Assessing the Cross-linguistic Utility of Abstract Meaning Representation**Shira Wein, Nathan Schneider*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/wein-2024-assessing-cross-linguistic-utility-abstract/)
87. [**Hebrew Morphological Preprocessing for Statistical Machine Translation**Nimesh Singh, Nizar Habash*2012 · 15 citations*](https://md.research.elamur.ai/free/en/papers/singh-2012-hebrew-morphological-preprocessing-statistical-machine/)
88. [**SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages?**Senyu Li, Jiayi Wang, Felermino D. M. A. Ali, et al.*2025 · 13 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-ssa-comet-do-llms-outperform/)
89. [**Towards Heterogeneous Automatic MT Error Analysis**Jesús Giménez, Lluís Màrquez*2008 · 13 citations*](https://md.research.elamur.ai/free/en/papers/gimenez-2008-heterogeneous-automatic-mt-error-analysis/)
90. [**AIN: The Arabic INclusive Large Multimodal Model**Ahmed Heakl, Sara Ghaboura, Omkar Thawkar, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/heakl-2025-ain-arabic-inclusive-large-multimodal/)
91. [**Scoring Coreference Chains with Split-Antecedent Anaphors**Silviu Paun, Juntao Yu, Nafise Sadat Moosavi, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/paun-2023-scoring-coreference-chains-split-antecedent/)
92. [**Referenceless Parsing-Based Evaluation of AMR-to-English Generation**Emma Manning, Nathan Schneider*2021 · 9 citations*](https://md.research.elamur.ai/free/en/papers/manning-2021-referenceless-parsing-based-evaluation-amr/)
93. [**Survey of Abstract Meaning Representation: Then, Now, Future**Behrooz Mansouri*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/mansouri-2025-survey-abstract-meaning-representation-then/)
94. [**The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text**Maged S. Al-Shaibani, Moataz Ahmed*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2025-arabic-ai-fingerprint-stylometric-analysis/)
95. [**Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act**Bao Chen, Yuanjie Wang, Zeming Liu, et al.*2023 · 6 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-automatic-evaluate-dialogue-appropriateness-dialogue/)
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