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title: "Machine translation — papers, page 6 — Elamur Research"
description: "Machine translation: 957 papers of the Elamur Research library · page 6 of 11 · 426–525, the most cited first."
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# 🔁 Machine translation

957 papers · page 6 of 11 · 426–525 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

Translating text from one language to another by program.

## Papers (957)

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426. **[MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/juraska-2023-metricx-23-google-submission-wmt/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Juraj Juraska, Mara Finkelstein, Daniel Deutsch, et al.*2023 · 118 citations*
427. **[Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas](https://md.research.elamur.ai/free/en/papers/mager-2021-findings-americasnlp-2021-shared-task/) [Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)](https://md.research.elamur.ai/free/en/venues/americasnlp/)**Manuel Mager, Arturo Oncevay, Abteen Ebrahimi, et al.*2021 · 118 citations*
428. **[Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation](https://md.research.elamur.ai/free/en/papers/burch-2010-findings-2010-joint-workshop-statistical/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Chris Callison-Burch, Philipp Koehn, Christof Monz, et al.*2010 · 118 citations*
429. **[Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection](https://md.research.elamur.ai/free/en/papers/wang-2018-denoising-neural-machine-translation-training/) [Conference on Machine Translation: Research Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-research-papers/)**Wei Wang, Taro Watanabe, Macduff Hughes, et al.*2018 · 115 citations*
430. **[Fluency, Adequacy, or HTER? Exploring Different Human Judgments with a Tunable MT Metric](https://md.research.elamur.ai/free/en/papers/snover-2009-fluency-adequacy-or-hter-exploring/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Matthew Snover, Nitin Madnani, Bonnie Dorr, et al.*2009 · 115 citations*
431. **[Document-level Neural MT: A Systematic Comparison](https://md.research.elamur.ai/free/en/papers/lopes-2020-document-level-neural-mt-systematic/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**António Lopes, M. Amin Farajian, Rachel Bawden, et al.*2020 · 114 citations*
432. **[Monolingual Adapters for Zero-Shot Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/philip-2020-monolingual-adapters-zero-shot-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jerin Philip, Alexandre Berard, Matthias Gallé, et al.*2020 · 114 citations*
433. **[Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/papers/burch-2009-fast-cheap-creative-evaluating-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chris Callison-Burch*2009 · 114 citations*
434. [**Simple and Effective Text Simplification Using Semantic and Neural Methods**Elior Sulem, Omri Abend, Ari Rappoport*2018 · 113 citations*](https://md.research.elamur.ai/free/en/papers/sulem-2018-simple-effective-text-simplification-semantic/)
435. **[Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation](https://md.research.elamur.ai/free/en/papers/zheng-2019-simpler-faster-learning-adaptive-policies/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Baigong Zheng, Renjie Zheng, Mingbo Ma, et al.*2019 · 112 citations*
436. [**Shake-and-Bake Translation**P. Whitelock*1992 · 112 citations*](https://md.research.elamur.ai/free/en/papers/whitelock-1992-shake-bake-translation/)
437. [**Generating English from Abstract Meaning Representations**Nima Pourdamghani, Kevin Knight, Ulf Hermjakob*2016 · 111 citations*](https://md.research.elamur.ai/free/en/papers/pourdamghani-2016-generating-english-abstract-meaning-representations/)
438. **[Lexically Constrained Neural Machine Translation with Levenshtein Transformer](https://md.research.elamur.ai/free/en/papers/susanto-2020-lexically-constrained-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Raymond Hendy Susanto, Shamil Chollampatt, Liling Tan*2020 · 110 citations*
439. **[Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/pust-2015-parsing-english-into-abstract-meaning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Michael Pust, Ulf Hermjakob, Kevin Knight, et al.*2015 · 110 citations*
440. [**Benchmarking Machine Translation with Cultural Awareness arXiv:2305.14328**Binwei Yao, Ming Jiang, Tara Bobinac, et al.*2023 · 109 citations*](https://md.research.elamur.ai/free/en/papers/yao-2023-benchmarking-machine-translation-cultural-awareness/)
441. **[G-Transformer for Document-Level Machine Translation](https://md.research.elamur.ai/free/en/papers/bao-2021-g-transformer-document-level-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangsheng Bao, Yue Zhang, Zhiyang Teng, et al.*2021 · 109 citations*
442. [**AMR-to-text Generation with Synchronous Node Replacement Grammar**Linfeng Song, Xiaochang Peng, Yue Zhang, et al.*2017 · 109 citations*](https://md.research.elamur.ai/free/en/papers/song-2017-amr-text-generation-synchronous-node/)
443. [**CILI: the Collaborative Interlingual Index**Francis Bond, Piek Vossen, John P. McCrae, et al.*2016 · 109 citations*](https://md.research.elamur.ai/free/en/papers/bond-2016-cili-collaborative-interlingual-index/)
444. **[Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/siddhant-2020-leveraging-monolingual-data-self-supervision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aditya Siddhant, Ankur Bapna, Yuan Cao, et al.*2020 · 108 citations*
445. **[Leveraging GPT-4 for Automatic Translation Post-Editing](https://md.research.elamur.ai/free/en/papers/raunak-2023-leveraging-gpt-4-automatic-translation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Vikas Raunak, Amr Sharaf, Yiren Wang, et al.*2023 · 107 citations*
446. **[Rethinking Document-level Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sun-2022-rethinking-document-level-neural-machine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zewei Sun, Mingxuan Wang, Hao Zhou, et al.*2022 · 107 citations*
447. **[APE at Scale and Its Implications on MT Evaluation Biases](https://md.research.elamur.ai/free/en/papers/freitag-2019-ape-scale-its-implications-mt/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Markus Freitag, Isaac Caswell, Scott Roy*2019 · 107 citations*
448. **[Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/freitag-2024-are-llms-breaking-mt-metrics/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Markus Freitag, Nitika Mathur, Daniel Deutsch, et al.*2024 · 106 citations*
449. [**Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech**Nianwen Xue, Ondřej Bojar, Jan Hajič, et al.*2014 · 106 citations*](https://md.research.elamur.ai/free/en/papers/xue-2014-not-interlingua-but-close-comparison/)
450. **[Bilingual FrameNet Dictionaries for Machine Translation](https://md.research.elamur.ai/free/en/papers/boas-2002-bilingual-framenet-dictionaries-machine-translation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hans C. Boas*2002 · 106 citations*
451. **[Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/dankers-2022-can-transformer-be-too-compositional/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Verna Dankers, Christopher Lucas, Ivan Titov*2022 · 105 citations*
452. [**NTREX-128 – News Test References for MT Evaluation of 128 Languages Proceedings of the First Workshop on Scaling Up Multilingual Evaluation**Christian Federmann, Tom Kocmi, Ying Xin*2022 · 104 citations*](https://md.research.elamur.ai/free/en/papers/federmann-2022-ntrex-128-news-test-references/)
453. **[Simple and Effective Noisy Channel Modeling for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/yee-2019-simple-effective-noisy-channel-modeling/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kyra Yee, Yann Dauphin, Michael Auli*2019 · 104 citations*
454. [**Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs**Fernando Alva-Manchego, Joachim Bingel, Gustavo Paetzold, et al.*2017 · 104 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2017-learning-how-simplify-explicit-labeling/)
455. **[Measuring Machine Translation Errors in New Domains](https://md.research.elamur.ai/free/en/papers/irvine-2013-measuring-machine-translation-errors-new/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ann Irvine, John Morgan, Marine Carpuat, et al.*2013 · 104 citations*
456. **[Learning Language Specific Sub-network for Multilingual Machine Translation](https://md.research.elamur.ai/free/en/papers/lin-2021-learning-language-specific-sub-network/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zehui Lin, Liwei Wu, Mingxuan Wang, et al.*2021 · 103 citations*
457. **[Exploiting Monolingual Data at Scale for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2019-exploiting-monolingual-data-scale-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Yiren Wang, Yingce Xia, et al.*2019 · 102 citations*
458. **[Findings of the WMT 2019 Shared Task on Automatic Post-Editing](https://md.research.elamur.ai/free/en/papers/chatterjee-2019-findings-wmt-2019-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Rajen Chatterjee, Christian Federmann, Matteo Negri, et al.*2019 · 102 citations*
459. **[UniTE: Unified Translation Evaluation](https://md.research.elamur.ai/free/en/papers/wan-2022-unite-unified-translation-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Wan, Dayiheng Liu, Baosong Yang, et al.*2022 · 100 citations*
460. **[Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment](https://md.research.elamur.ai/free/en/papers/koehn-2020-findings-wmt-2020-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Philipp Koehn, Vishrav Chaudhary, Ahmed El-Kishky, et al.*2020 · 100 citations*
461. [**A Large-Scale Comparison of Historical Text Normalization Systems**Marcel Bollmann*2019 · 99 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2019-large-scale-comparison-historical-text/)
462. **[Unbabel's Participation in the WMT20 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/rei-2020-unbabel-s-participation-wmt20-metrics/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ricardo Rei, Craig Stewart, Ana C Farinha, et al.*2020 · 98 citations*
463. **[Evaluation of machine translation and its evaluation](https://md.research.elamur.ai/free/en/papers/turian-2003-evaluation-machine-translation-its-evaluation/) [Machine Translation Summit (MT Summit)](https://md.research.elamur.ai/free/en/venues/mtsummit/)**Joseph P. Turian, Luke Shen, I. Dan Melamed*2003 · 97 citations*
464. **[Dynamic Data Selection for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wees-2017-dynamic-data-selection-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Marlies van der Wees, Arianna Bisazza, Christof Monz*2017 · 96 citations*
465. **[SPMT: Statistical Machine Translation with Syntactified Target Language Phrases](https://md.research.elamur.ai/free/en/papers/marcu-2006-spmt-statistical-machine-translation-syntactified/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Daniel Marcu, Wei Wang, Abdessamad Echihabi, et al.*2006 · 96 citations*
466. [**Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation arXiv:2302.07856**Marjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer*2023 · 95 citations*](https://md.research.elamur.ai/free/en/papers/ghazvininejad-2023-dictionary-based-phrase-level-prompting/)
467. **[Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation](https://md.research.elamur.ai/free/en/papers/peled-2017-sarcasm-sign-interpreting-sarcasm-sentiment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lotem Peled, Roi Reichart*2017 · 95 citations*
468. [**Using Test Suites in Evaluation of Machine Translation Systems**Margaret King, Kirsten Falkedal*1990 · 95 citations*](https://md.research.elamur.ai/free/en/papers/king-1990-test-suites-evaluation-machine-translation/)
469. **[Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better](https://md.research.elamur.ai/free/en/papers/dale-2023-detecting-mitigating-hallucinations-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**David Dale, Elena Voita, Loic Barrault, et al.*2023 · 94 citations*
470. [**Broad Coverage Multilingual Deep Sentence Generation with a Stochastic Multi-Level Realizer**Bernd Bohnet, Leo Wanner, Simon Mille, et al.*2010 · 94 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2010-broad-coverage-multilingual-deep-sentence/)
471. [**Using Sense-labeled Discourse Connectives for Statistical Machine Translation Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra)**Thomas Meyer, Andrei Popescu-Belis*2012 · 93 citations*](https://md.research.elamur.ai/free/en/papers/meyer-2012-sense-labeled-discourse-connectives-statistical/)
472. **[The NiuTrans Machine Translation Systems for WMT19](https://md.research.elamur.ai/free/en/papers/li-2019-niutrans-machine-translation-systems-wmt19/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Bei Li, Yinqiao Li, Chen Xu, et al.*2019 · 92 citations*
473. **[Prompsit's submission to WMT 2018 Parallel Corpus Filtering shared task](https://md.research.elamur.ai/free/en/papers/cartagena-2018-prompsit-s-submission-wmt-2018/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Víctor M. Sánchez-Cartagena, Marta Bañón, Sergio Ortiz-Rojas, et al.*2018 · 92 citations*
474. **[Findings of the WMT 2022 Shared Task on Quality Estimation](https://md.research.elamur.ai/free/en/papers/zerva-2022-findings-wmt-2022-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Chrysoula Zerva, Frédéric Blain, Ricardo Rei, et al.*2022 · 91 citations*
475. **[TransQuest: Translation Quality Estimation with Cross-lingual Transformers](https://md.research.elamur.ai/free/en/papers/ranasinghe-2020-transquest-translation-quality-estimation-cross/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov*2020 · 91 citations*
476. [**Multidimensional quality metrics: a flexible system for assessing translation quality**Arle Richard Lommel, Aljoscha Burchardt, Hans Uszkoreit*2013 · 87 citations*](https://md.research.elamur.ai/free/en/papers/lommel-2013-multidimensional-quality-metrics-flexible-system/)
477. [**Error Analysis of Statistical Machine Translation Output**David Vilar, Jia Xu, Luis Fernando D'Haro, et al.*2006 · 87 citations*](https://md.research.elamur.ai/free/en/papers/vilar-2006-error-analysis-statistical-machine-translation/)
478. **[Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It](https://md.research.elamur.ai/free/en/papers/saunders-2020-neural-machine-translation-doesn-t/) [Workshop on Gender Bias in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/gebnlp/)**Danielle Saunders, Rosie Sallis, Bill Byrne*2020 · 86 citations*
479. [**The First Multilingual Surface Realisation Shared Task (SR'18): Overview and Evaluation Results**Simon Mille, Anja Belz, Bernd Bohnet, et al.*2018 · 86 citations*](https://md.research.elamur.ai/free/en/papers/mille-2018-first-multilingual-surface-realisation-shared/)
480. **[Validation of an Automatic Metric for the Accuracy of Pronoun Translation (APT)](https://md.research.elamur.ai/free/en/papers/werlen-2017-validation-automatic-metric-accuracy-pronoun/) [Workshop on Discourse in Machine Translation](https://md.research.elamur.ai/free/en/venues/workshop-on-discourse-in-machine-translation/)**Lesly Miculicich Werlen, Andrei Popescu-Belis*2017 · 86 citations*
481. **[Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing](https://md.research.elamur.ai/free/en/papers/dowmunt-2016-log-linear-combinations-monolingual-bilingual/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Marcin Junczys-Dowmunt, Roman Grundkiewicz*2016 · 86 citations*
482. **[BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation](https://md.research.elamur.ai/free/en/papers/jiang-2022-blonde-automatic-evaluation-metric-document/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yuchen Jiang, Tianyu Liu, Shuming Ma, et al.*2022 · 85 citations*
483. **[Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/rei-2021-are-references-really-needed-unbabel/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ricardo Rei, Ana C Farinha, Chrysoula Zerva, et al.*2021 · 85 citations*
484. **[Neural Machine Translation with Supervised Attention](https://md.research.elamur.ai/free/en/papers/liu-2016-neural-machine-translation-supervised-attention/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Lemao Liu, Masao Utiyama, Andrew Finch, et al.*2016 · 84 citations*
485. **[Binarization of Synchronous Context-Free Grammars](https://md.research.elamur.ai/free/en/papers/huang-2009-binarization-synchronous-context-free-grammars/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Liang Huang, Hao Zhang, Daniel Gildea, et al.*2009 · 84 citations*
486. **[Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation](https://md.research.elamur.ai/free/en/papers/kocmi-2024-error-span-annotation-balanced-approach/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, et al.*2024 · 83 citations*
487. **[Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation](https://md.research.elamur.ai/free/en/papers/levy-2021-collecting-large-scale-gender-bias/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shahar Levy, Koren Lazar, Gabriel Stanovsky*2021 · 82 citations*
488. **[Artificial Error Generation with Machine Translation and Syntactic Patterns](https://md.research.elamur.ai/free/en/papers/rei-2017-artificial-error-generation-machine-translation/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Marek Rei, Mariano Felice, Zheng Yuan, et al.*2017 · 82 citations*
489. [**MEANT 2.0: Accurate semantic MT evaluation for any output language**Chi-kiu Lo*2017 · 82 citations*](https://md.research.elamur.ai/free/en/papers/lo-2017-meant-2-0-accurate-semantic/)
490. [**Blast: A Tool for Error Analysis of Machine Translation Output**Sara Stymne*2011 · 81 citations*](https://md.research.elamur.ai/free/en/papers/stymne-2011-blast-tool-error-analysis-machine/)
491. **[Findings of the WMT 2021 Shared Task on Quality Estimation](https://md.research.elamur.ai/free/en/papers/specia-2021-findings-wmt-2021-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Lucia Specia, Frédéric Blain, Marina Fomicheva, et al.*2021 · 80 citations*
492. **[Implicitation of Discourse Connectives in (Machine) Translation](https://md.research.elamur.ai/free/en/papers/meyer-2013-implicitation-discourse-connectives-machine-translation/) [Workshop on Discourse in Machine Translation](https://md.research.elamur.ai/free/en/venues/workshop-on-discourse-in-machine-translation/)**Thomas Meyer, Bonnie Webber*2013 · 80 citations*
493. [**Neural Network Translation Models for Grammatical Error Correction arXiv:1606.00189**Shamil Chollampatt, Kaveh Taghipour, Hwee Tou Ng*2016 · 79 citations*](https://md.research.elamur.ai/free/en/papers/chollampatt-2016-neural-network-translation-models-grammatical/)
494. [**Evaluating prose style transfer with the Bible**Keith Carlson, Allen Riddell, Daniel Rockmore*2017 · 77 citations*](https://md.research.elamur.ai/free/en/papers/carlson-2017-evaluating-prose-style-transfer-bible/)
495. **[Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT](https://md.research.elamur.ai/free/en/papers/baker-2012-modality-negation-simt-use-modality/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Kathryn Baker, Michael Bloodgood, Bonnie J. Dorr, et al.*2012 · 77 citations*
496. **[MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset](https://md.research.elamur.ai/free/en/papers/fomicheva-2022-mlqe-pe-multilingual-quality-estimation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Marina Fomicheva, Shuo Sun, Erick Fonseca, et al.*2022 · 76 citations*
497. [**chrF deconstructed: beta parameters and n-gram weights**Maja Popović*2016 · 76 citations*](https://md.research.elamur.ai/free/en/papers/popovic-2016-chrf-deconstructed-beta-parameters-n/)
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