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BLEU: a method for automatic evaluation of machine translation

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A Study of Translation Edit Rate with Targeted Human Annotation

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Confidence estimation for machine translation

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The Significance of Recall in Automatic Metrics for MT Evaluation

Lavie, A., Sagae, K., & Jayaraman, S. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30194-3_16 · Cited by 123

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Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response GenerationPreprint

Chaudhary, M., Dzodzo, B., Huang, S., Lo, C., Lyu, M., Nie, L. Y., Xing, J., Zhang, T., Zhang, X., Zhou, J., et al. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2101.06066 · Cited by 1

Chinese Medical Paraphrase Generation: Based on Neural Machine TranslationPreprint

Sun, B., Zhang, F., Yuan, J., Zhao, W., & Shu, T. (2021) · Research Square · doi:10.21203/rs.3.rs-551021/v1 · Cited by 1

Exploitation of an Arabic Language Resource for Machine Translation Evaluation: using Buckwalter-based Lookup Tool to Augment CMU Alignment Algorithm

Voss, C. R., Laoudi, J., & Micher, J. C. (2008) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/25omz4jjwok5 · Cited by 1

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Malkin, N., Wang, Z., & Jojić, N. (2021) · arXiv (Cornell University) · Cited by 1

Automatic abstractive summarization of long medical texts with multi-encoders Transformer and general-domain summary evaluation with wikiSERA

Espejel, J. L. (2021) · theses.fr (ABES) · doi:10.70675/31684827z4a48z48dfz8dd7zc76a5467c3e8 · Cited by 1

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Yahyaei, M. S. (2012) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 1

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Cohesion and Comprehensibility in Polish-English Machine Translated Texts

Weiss, S. (2011) · KTH Publication Database DiVA (KTH Royal Institute of Technology)

Improving statistical machine translation using comparable corpora

Dorr, B. J., & Snover, M. (2010) · University Libraries (University of Maryland)

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Hwa, R., & Mohit, B. (2010) · D-Scholarship@Pitt (University of Pittsburgh)

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Yasuda, K., & Sumita, E. (2010) · The Journal of the Institute of Electrical Engineers of Japan · doi:10.1541/ieejjournal.130.24

LIG approach for IWSLT09 : Using Multiple Morphological Segmenters for Spoken Language Translation of Arabic

Bougares, F., Besacier, L., & Blanchon, H. (2009)

Incorporating Translation Quality-Oriented Features into Log-Linear Models of Machine Translation

Penkale, S. (2011) · Dublin City University Open Access Institutional Repository (Dublin City University)

Method to Select Technical Terms for Glossaries in Support of Joint Task Force Operations

Vanni, M. (2012)

Question Answering Against Very-Large Text Collections Darwin 2008 final Project Report

Derczynski, L., Solway, B., & Jun, M. W. (2008)

Exploitation of an Arabic Language Resource for MT Evaluation: Using Buckwalter-based Lookup Tool to Augment CMU Alignment Algorithm

Voss, C. R., Laoudi, J., & Micher, J. C. (2007)

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Reaich, C. (2014)

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Madnani, N., & Dorr, B. J. (2010)

Pivot-based Statistical Machine Translation for Morphologically Rich Languages

Kholy, A. E. (2016) · doi:10.7916/d84j0dz9

Towards grammaticality and fluency : characterizing and correcting ESL errors using dictionary random walks and other means

West, R. M. (2011) · eScholarship (California Digital Library)

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Reordering, S. (2008)

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Kumar, V. (2012)

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West, R. M. (2011)

A Classifier to Determine Whether a Document is Professionally or Machine Translated

Luckert, M., Schaefer-Kehnert, M., Löwe, W., Ericsson, M., & Wingkvist, A. (2016) · Lecture notes in business information processing · doi:10.1007/978-3-319-45321-7_24

Optimizing machine translation by learning to search

Melamed, D., & Galron, D. (2012) · ProQuest Demo Repository

Using translational score maps to aid MT evaluation

Harris, C. G., & Li, Z. (2011) · International Conference on Natural Language Processing and Knowledge Engineering (NLPKE) · doi:10.1109/nlpke.2011.6138163

COUPLING SPEECH RECOGNITION AND RULE-BASED MACHINE

Köprü, S. (2008)

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Gahbiche, S., Sud, P., & Xi, P. (2013)

Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums

Chai, Z., Xing, X., Wan, X., & Huang, B. (2019) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/p19-1497

Normalyzing Numeronyms -- A NLP approachPreprint

Garain, A., Mahata, S. K., & Dutta, S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1907.13356

Translation, Sentiment and Voices: A Computational Model to Translate and Analyse Voices from Real-Time Video CallingPreprint

Roy, A. B. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1909.13162

Exploiting Latent Features of Text and Graphs

Sybrandt, J. (2020) · TigerPrints (Clemson University)

Cue word guided question generation with BERT model fine-tuned on natural question dataset

Zhang, Z. (2020) · Research Commons (University of Waikato)

A Template-Based Approach for Generating Vietnamese References from Flat MR Dataset in Restaurant Domain

Nguyen, D. T., & Tran, T. (2020) · Communications in computer and information science · doi:10.1007/978-981-33-4370-2_17

VİDEO ETİKETLEME UYGULAMALARINDA DERİN ÖĞRENME YAKLAŞIMLARININ KULLANILMASI ÜZERİNE KAPSAMLI BİR İNCELEME

Alpay, Ö., & Akcayol, M. A. (2020) · Mühendislik Bilimleri ve Tasarım Dergisi · doi:10.21923/jesd.830587

Enconter: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer

Hsieh, L.-H., Lee, Y., & Lim, E. (2021) · Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/2021.eacl-main.313 · Cited by 2

Personalized Response Generation with Tensor Factorization

Wang, Z., Luo, L., & Yang, D. (2021) · Workshop on Generation, Evaluation and Metrics (GEM) · doi:10.18653/v1/2021.gem-1.5

Neural Paraphrase Generation with Multi-domain Corpus

Qiao, L., Li, Y., & Zhong, C. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-86362-3_5

Machine Translation Quality in Mobile Apps for Text-based Image Translation

Miltakienė, E. (2021) · Vertimo studijos · doi:10.15388/vertstud.2021.4

Unsupervised paraphrasing via syntactic template sampling

Bao, Y., 黄, 书., 周, 浩., 李, 磊., 戴, 新., & 陈, 家. (2021) · Scientia Sinica Informationis · doi:10.1360/ssi-2021-0065

A Critical Analysis Of Nlp and Clinical Correctness Metrics to Measure Progress on X-Ray Report GenerationPreprint

Pino, P., Parra, D., Dunstan, J., & Besa, C. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4052411

Math Word Problem Generation with Memory Retrieval

Wang, X., Qin, W., Hu, Z., Wang, L., Lan, Y., & Hong, R. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-18913-5_29

MOOC Coursera Content Post-editing

Lapinskaitė, D., & Mankauskienė, D. (2022) · Vertimo studijos · doi:10.15388/vertstud.2022.1

Nemesis: Neural Mean Teacher Learning-Based Emotion-Centric Speaker

Yousefi, A., & Passi, K. (2023) · Algorithms · doi:10.3390/a16020097 · Cited by 1

Recognizing Textual Entailment Using Weighted Dependency Relations

Saikh, T., Naskar, S. K., & Ekbal, A. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-23804-8_18

A Survey of Empathetic Generative Chatbots

Martín-del-Campo-Rodríguez, C., Sidorov, G., & Batyrshin, I. (2023) · Studies in fuzziness and soft computing · doi:10.1007/978-3-031-23476-7_19

Task-specific pre-training improves models for paraphrase generation

Skurzhanskyi, O., & Marchenko, O. O. (2022) · International Conference on Natural Language Processing and Information Retrieval (NLPIR) · doi:10.1145/3582768.3582791

Multimodal Dialogue Modeling: Simultaneous Intent Recognition and Response GenerationPreprint

Madasu, A., Firdaus, M., & Ekbal, A. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4533669

Generating Enlightened Suggestions Based on Mental State Evolution for Emotional Support Conversation

Gan, M., Yu, J., Dong, X. M., Qiu, S., Liu, W., & Yin, J. P. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-46661-8_22

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Demyanchuk, Y. I. (2023) · Лінгвістичні дослідження · doi:10.34142/23127546.2023.59.14

Text-Conditioned Image Synthesis - A Review

Saha, P., Ghosh, S., & Bhandari, D. (2023) · IEEE Silchar Subsection Conference (SILCON) · doi:10.1109/silcon59133.2023.10404316

SPECIALIZED PRE-TRAINING OF NEURAL NETWORKS ON SYNTHETIC DATA FOR IMPROVING PARAPHRASE GENERATION

Skurzhanskyi, O., Marchenko, O. O., & Anisimov, A. V. (2024) · Kibernetyka ta Systemnyi Analiz · doi:10.34229/kca2522-9664.24.2.1 · Cited by 1

Cooking-Clip: Context-Aware Language-Image Pretraining for Zero-Shot Recipe Generation

Wang, L., Al-Gunid, H. M., Hawbani, A., & Xiong, Y. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10447148

Specialized Pre-Training of Neural Networks on Synthetic Data for Improving Paraphrase Generation

Skurzhanskyi, O., Marchenko, O. O., & Anisimov, A. V. (2024) · Cybernetics and Systems Analysis · doi:10.1007/s10559-024-00658-7

VADER-SC: A Model Agnostic Tool for Large Scale, AI Driven Automated Source Code Summarization

Horne, D., Pierson, A., Hedary, E., Freddo, G., Trejo, L., Matis, M., & Mask, L. (2023) · Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE) · doi:10.1109/csce60160.2023.00416

Object Centered Video Captioning using Spatio-temporal Graphs

Sharma, V., Singh, A. K., & Gaito, S. (2024) · IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) · doi:10.1109/iatmsi60426.2024.10503197

ATCoPE - Abstractive text comparison using prompt engineering

Chakraborty, S., & Pakray, P. (2024) · AIP conference proceedings · doi:10.1063/5.0208416

AMPD: an Analects-Mandarin parallel dataset for bidirectional translation

Wang, S., Li, H., Xie, C., Du, Y., & Gao, Z. (2024) · International Journal of Parallel Emergent and Distributed Systems · doi:10.1080/17445760.2024.2350683

Unbiased Image Caption Generation Based on Dynamic Counterfactual Inference

Zhou, J., Yang, C. Z., Zhu, Y., & Zhang, Y. (2024) · Communications in computer and information science · doi:10.1007/978-981-97-3623-2_11

Comprehensive survey on 3D visual-language understanding techniques

Lei, Y., Xü, K., Guo, Y., Yang, X., Wu, Y., Hu, W., Yang, J., & Wang, H. (2024) · Journal of Image and Graphics · doi:10.11834/jig.240029

Comparative Analysis on Generation of Image Captions Based on Deep Learning Models

Dakshnakumar, G. S., & Jebaseeli, T. J. (2024) · International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE) · doi:10.1109/amathe61652.2024.10582162

Improving Image Captioning with Image Concepts of Words

Wang, Y., Xiang, X., Jing, K., Xu, J., & Sun, Y. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-5495-3_27

Insert Commonsense Knowledge Through Semantics for Dialogue Generation

Hou, S., Song, D., Wu, Z., Guo, X., & Yang, Z. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-5495-3_23

Artionyms and machine learning: auto naming of the paintings

Altynova, A., Kolycheva, V. A., Grigoriev, D., & Semenov, A. (2024) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v13.i4.pp4445-4452

Low-Resource Machine Translation with Different Granularity Image Features

Tayir, T., Li, L., Maimaiti, M., & Muhtar, Y. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-8620-6_18

Verbal Description Focusing on Physical Properties of Real-World Environments

Kuroda, E., Taya, Y., & Kobayashi, I. (2024) · Joint International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS&ISIS) · doi:10.1109/scisisis61014.2024.10759966

Dual Branch Non-Autoregressive Image Captioning

Liu, Y., Yu, H., Li, H., Han, X., & Liu, H. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-78456-9_21

MetaESC: Enhancing Emotional Support Conversation through Metacognition

Li, H., Wu, W., Ji, Y., Zheng, H. Y., Shi, L., Chen, X., & He, L. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-5569-1_21

Reframing Image Difference Captioning with BLIP2IDC and Synthetic Augmentation

Evennou, G., Chaffin, A., Chappelier, V., & Ewa Kijak, C. (2025) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61041.2025.00143 · Cited by 3

Image Captioning with Convolutional Neural Networks and Autoencoder-Transformer Model

Kavila, S. D., Kavila, M. S. D., Sreerama, K. R., Pittada, S. H. V., Singh, K. R., Samatha, B., & Rashmita, M. (2024) · International Journal of experimental research and review · doi:10.52756/ijerr.2024.v46.023

Understanding and Reasoning with Negation

Hossain, M. M. (2022) · University of North Texas Digital Library (University of North Texas) · doi:10.12794/metadc2048613

Interval evaluation of temporal (in)stability for neural machine translation

Egorova, A., Кружков, М. Г., Nuriev, V. A., & Zatsman, I. M. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00222-y

Bridging Speech and Text Foundation Models with ReShape Attention

Kano, T., Ogawa, A., Delcroix, M., Chen, W., Fukuda, R., Matsuura, K., Ashihara, T., & Watanabe, S. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10888650

Unlocking Communication: Exploring Hand Gesture-Based Interaction in a Code-Mixed Conversational Speech-to-Indian-Sign-Language Translator

Saini, N., & Mishra, A. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-5212-6_11

A Multilingual Dataset (MultiMWP) and Benchmark for Math Word Problem Generation

Gamage, O., Ranathunga, S., Lee, A., Sun, X. N., Singh, A., Skënduli, M. P., Alam, M., Nayak, A. K., Gao, H., Deori, B., et al. (2025) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/taslpro.2025.3552936

Image Captioning using Domain Ontology based Semantic Attention Approaches

Chandar, J. N., & Kavitha, G. (2024) · Asian Conference on Intelligent Technologies (ACOIT) · doi:10.1109/acoit62457.2024.10939876

Multi-Hierarchy Metamorphic Testing for Hyphenated Words in Machine Translation

Zhu, R., Tao, C., & Gao, J. Z. (2024) · Asia-Pacific Software Engineering Conference (APSEC) · doi:10.1109/apsec65559.2024.00037

A Novel Method for Generating Ultrasound Report Generation Using a Multi-modal Feature Fusion

Cheddi, F., Habbani, A., & Nait‐Charif, H. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-90921-4_42

Incremental Information-Aware: Mine Abundant and Accurate Information for Video Captioning

Zhong, N., Fang, B., Li, M., & Wang, L. (2025) · International Conference on Multimedia Retrieval · doi:10.1145/3731715.3733365

Concept Type Prompt Patterns for Automated Medical Reporting in Healthcare

van de Graaf, C., Huibers, T., Prasetya, I. S. W. B., & Brinkkemper, S. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-00652-3_22

VLM in Remote Sensing: A Comprehensive Review

Rudani, K., Gala, R., Shah, Y. A. R., & Patil, P. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-95540-2_6

Application of Large Language Models to Solving Differential Equations: Constructing Baseline Models with LSTM and GRU

Surkov, A., Zakharov, V., Koltcov, S., & Ignatenko, V. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-98290-3_18

Verbal Representation of Object Collision Prediction Based on Physical Properties

Kuroda, E., & Kobayashi, I. (2025) · Journal of Advanced Computational Intelligence and Intelligent Informatics · doi:10.20965/jaciii.2025.p1190

Addressing the Cold Start Problem in Product Search Using Generative Language Models

Краснов, Ф., & Kurushin, F. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-96177-9_22

Generating Vietnamese Questions and Answers for Subject Marxist-Leninist Philosophy

Nam, D. T., Hieu, N. V., Hung, N. M., & Hung, P. D. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-06952-8_6

Comparative analysis of machine translation for Hindi-Dogri text using rule-based, statistical, and neural approaches

Kumar, J., Rakhra, M., Dubey, P., Prashar, D., Mršić, L., Khan, A. A., Kadry, S., & Kim, J. (2025) · PeerJ Computer Science · doi:10.7717/peerj-cs.3218

CNCFuzzer: Directed Black-Box Fuzzing of Computer Numerical Control System Based on Message Behaviour Guidance

Li, Z., Fang, D., Chen, Y., Li, S., Peng, J., Song, Z., Lv, S., & Sun, L. (2025) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3771764

KV-RAPTOR: Scalable Tree-Structured Retrieval with KV Cache Compression for Question-Answering Systems

da Silva, J. G. J., de Oliveira, S. S. T., Alves, L. A., Eiris, N., & Filho, A. R. G. (2025) · Simpósio Brasileiro de Bancos de Dados (SBBD) · doi:10.5753/sbbd.2025.247245

Textualizing images: A comprehensive review of image captioning using deep learning

Thakur, S., & Bhat, A. (2025) · AIP conference proceedings · doi:10.1063/5.0294151

Generative Fuzzy System for Sequence-to-Sequence Learning via Rule-Based Inference

Yang, H., Deng, Z., Zhang, W., Zhao, Z., Wang, G., & Choi, K. (2025) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2025.3615650

A comparison between humans and LLMs of the assessment performances of Japanese speech transcription systems

Ikeda, T., & Nakayama, M. (2025) · International Conference on Information Visualisation (IV) · doi:10.1109/iv68685.2025.00027

Empirical Calibration and Metric Differential Privacy in Language Models

Faustini, P., Fernandes, N., McIver, A. K., & Dras, M. (2025) · IEEE Access · doi:10.1109/access.2025.3633551 · Cited by 1

Multi-Scale Semantic Fusion Network with Adaptive Attention for Remote Sensing Image Captioning

Pawar, C. S., & Makwana, A. (2025) · Journal of Trends in Computer Science and Smart Technology · doi:10.36548/jtcsst.2025.4.005

The Challenge of the Talmud in Italian: Tools and Computational Linguistics in the Service of Translation

Papini, M., & Giovannetti, E. (2025) · TranScript · doi:10.30687/transcript/2785-5708/2025/01/005

中文条形图表数据集构建及数据抽取方法

Qiuping, M., Hangshuo, B., Qi, Z., & Xiaofan, Z. (2025) · Journal of Image and Graphics · doi:10.11834/jig.250299

CCG-augmented hierarchical phrase-based statistical machinetranslation

Almaghout, H. (2013)

Verbal Representation of Object Collision Prediction Based on Physical CommonSense Knowledge

Kuroda, E., & Kobayashi, I. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-94892-3_26

Accelerating RAG Systems: A Performance-Oriented Systematic Mapping

da Silva, J. G. J., de Oliveira, S. S. T., & Filho, A. R. G. (2025) · doi:10.5753/eniac.2025.12304

Continual Learning for Image Captioning Through Improved Image-Text Alignment

Taetz, B., & Bordelius, G. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-14492-8_2

HiCoS: Hierarchical Commit Summarizer and LLM Benchmarking

Falcão, T. A., Queiroz, J. S., & Bezerra, E. C. (2025) · IEEE International Conference on Data and Software Engineering (ICoDSE) · doi:10.1109/icodse68111.2025.11351793

METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments

Lavie, A., & Agarwal, A. (2005)

The Meteor metric for automatic evaluation of machine translation

Lavie, A., & Denkowski, M. (2009) · Machine Translation · doi:10.1007/s10590-009-9059-4 · Cited by 351

Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems

Denkowski, M., & Lavie, A. (2011) · Cited by 344

Meteor, m-bleu and m-ter: Evaluation Metrics for High-Correlation with Human Rankings of Machine Translation Output

Agarwal, A., & Lavie, A. (2008)

METEOR, M-BLEU and M-TER

Agarwal, A., & Lavie, A. (2008) · Conference on Machine Translation (WMT) · doi:10.3115/1626394.1626406 · Cited by 109