--- title: "Machine translation — library papers, page 3" description: "Machine translation: 531 papers of the Elamur Research library on it, the most cited first — each with our summary, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/topics/machine-translation/library/page/3/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/topics/machine-translation/library/page/3/) [home](https://md.research.elamur.ai/free/en/) / [topics](https://md.research.elamur.ai/free/en/topics/) / [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) / library # Machine translation — papers in the library 531 papers · [the topic and Mova's cards](https://md.research.elamur.ai/free/en/topics/machine-translation/) [← prev](https://md.research.elamur.ai/free/en/topics/machine-translation/library/page/2/) [1](https://md.research.elamur.ai/free/en/topics/machine-translation/library/) [2](https://md.research.elamur.ai/free/en/topics/machine-translation/library/page/2/) **3** [4](https://md.research.elamur.ai/free/en/topics/machine-translation/library/page/4/) [5](https://md.research.elamur.ai/free/en/topics/machine-translation/library/page/5/) [6](https://md.research.elamur.ai/free/en/topics/machine-translation/library/page/6/) [next →](https://md.research.elamur.ai/free/en/topics/machine-translation/library/page/4/) - [OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora](https://md.research.elamur.ai/free/en/papers/lison-2018-opensubtitles2018-statistical-rescoring-sentence-alignments/) — Pierre Lison, Jörg Tiedemann, Milen Kouylekov · Proceedings of the Eleventh International… - [Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/xiong-2006-maximum-entropy-based-phrase-reordering/) — Deyi Xiong, Qun Liu, Shouxun Lin · Proceedings of the 21st International… - [On NMT Search Errors and Model Errors: Cat Got Your Tongue?](https://md.research.elamur.ai/free/en/papers/stahlberg-2019-nmt-search-errors-model-errors/) — Felix Stahlberg, Bill Byrne · Proceedings of the 2019 Conference on Empirical… - [A Character-level Decoder without Explicit Segmentation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chung-2016-character-level-decoder-without-explicit/) — Junyoung Chung, Kyunghyun Cho, Yoshua Bengio · Proceedings of the 54th Annual Meeting of the… - [EASSE: Easier Automatic Sentence Simplification Evaluation](https://md.research.elamur.ai/free/en/papers/manchego-2019-easse-easier-automatic-sentence-simplification/) — Fernando Alva-Manchego, Louis Martin, Carolina Scarton, et al. · Proceedings of the 2019 Conference on Empirical… - [Question Generation for Question Answering](https://md.research.elamur.ai/free/en/papers/duan-2017-question-generation-question-answering/) — Nan Duan, Duyu Tang, Peng Chen, et al. · Proceedings of the 2017 Conference on Empirical… - [Exploiting Cross-Sentence Context for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2017-exploiting-cross-sentence-context-neural/) — Longyue Wang, Zhaopeng Tu, Andy Way, et al. · Proceedings of the 2017 Conference on Empirical… - [Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks](https://md.research.elamur.ai/free/en/papers/zhao-2018-paragraph-level-neural-question-generation/) — Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, et al. · Proceedings of the 2018 Conference on Empirical… - [Improvements in Phrase-Based Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/zens-2004-improvements-phrase-based-statistical-machine/) — Richard Zens, Hermann Ney · Proceedings of the Human Language Technology… - [A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/muller-2018-large-scale-test-set-evaluation/) — Mathias Müller, Annette Rios, Elena Voita, et al. · Proceedings of the Third Conference on Machine… - [Monotonic Infinite Lookback Attention for Simultaneous Machine Translation](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-monotonic-infinite-lookback-attention-simultaneous/) — Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, et al. · Proceedings of the 57th Annual Meeting of the… - [MTNT: A Testbed for Machine Translation of Noisy Text](https://md.research.elamur.ai/free/en/papers/michel-2018-mtnt-testbed-machine-translation-noisy/) — Paul Michel, Graham Neubig · Proceedings of the 2018 Conference on Empirical… - [Learning Joint Multilingual Sentence Representations with Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/schwenk-2017-learning-joint-multilingual-sentence-representations/) — Holger Schwenk, Matthijs Douze · Proceedings of the 2nd Workshop on… - [Decoding with Large-Scale Neural Language Models Improves Translation](https://md.research.elamur.ai/free/en/papers/vaswani-2013-decoding-large-scale-neural-language/) — Ashish Vaswani, Yinggong Zhao, Victoria Fossum, et al. · Proceedings of the 2013 Conference on Empirical… - [Robust Neural Machine Translation with Doubly Adversarial Inputs](https://md.research.elamur.ai/free/en/papers/cheng-2019-robust-neural-machine-translation-doubly/) — Yong Cheng, Lu Jiang, Wolfgang Macherey · Proceedings of the 57th Annual Meeting of the… - [Arabic Preprocessing Schemes for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/habash-2006-arabic-preprocessing-schemes-statistical-machine/) — Nizar Habash, Fatiha Sadat · Proceedings of the Human Language Technology… - [Beyond BLEU: Training Neural Machine Translation with Semantic Similarity](https://md.research.elamur.ai/free/en/papers/wieting-2019-beyond-bleu-training-neural-machine/) — John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, et al. · Proceedings of the 57th Annual Meeting of the… - [Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/eikema-2020-is-map-decoding-all-you/) — Bryan Eikema, Wilker Aziz · Proceedings of the 28th International… - [Re-examining Machine Translation Metrics for Paraphrase Identification](https://md.research.elamur.ai/free/en/papers/madnani-2012-re-examining-machine-translation-metrics/) — Nitin Madnani, Joel Tetreault, Martin Chodorow · Proceedings of the 2012 Conference of the North… - [Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/foster-2010-discriminative-instance-weighting-domain-adaptation/) — George Foster, Cyril Goutte, Roland Kuhn · Proceedings of the 2010 Conference on Empirical… - [Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem](https://md.research.elamur.ai/free/en/papers/saunders-2020-reducing-gender-bias-neural-machine/) — Danielle Saunders, Bill Byrne · Proceedings of the 58th Annual Meeting of the… - [Incorporating Discrete Translation Lexicons into Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/arthur-2016-incorporating-discrete-translation-lexicons-into/) — Philip Arthur, Graham Neubig, Satoshi Nakamura · Proceedings of the 2016 Conference on Empirical… - [Statistical Phrase-Based Post-Editing](https://md.research.elamur.ai/free/en/papers/simard-2007-statistical-phrase-based-post-editing/) — Michel Simard, Cyril Goutte, Pierre Isabelle · Human Language Technologies 2007: The… - [SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2018-switchout-efficient-data-augmentation-algorithm/) — Xinyi Wang, Hieu Pham, Zihang Dai, et al. · Proceedings of the 2018 Conference on Empirical… - [Can You Unpack That? Learning to Rewrite Questions-in-Context](https://md.research.elamur.ai/free/en/papers/elgohary-2019-can-you-unpack-that-learning/) — Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber · Proceedings of the 2019 Conference on Empirical… - [Quality-Aware Decoding for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/) — Patrick Fernandes, António Farinhas, Ricardo Rei, et al. · Proceedings of the 2022 Conference of the North… - [The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives](https://md.research.elamur.ai/free/en/papers/voita-2019-bottom-up-evolution-representations-transformer/) — Elena Voita, Rico Sennrich, Ivan Titov · Proceedings of the 2019 Conference on Empirical… - [Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corpora](https://md.research.elamur.ai/free/en/papers/dowmunt-2018-dual-conditional-cross-entropy-filtering/) — Marcin Junczys-Dowmunt · Proceedings of the Third Conference on Machine… - [Graph-to-Sequence Learning using Gated Graph Neural Networks](https://md.research.elamur.ai/free/en/papers/beck-2018-graph-sequence-learning-gated-graph/) — Daniel Beck, Gholamreza Haffari, Trevor Cohn · Proceedings of the 56th Annual Meeting of the… - [Zero-Resource Translation with Multi-Lingual Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/firat-2016-zero-resource-translation-multi-lingual/) — Orhan Firat, Baskaran Sankaran, Yaser Al-onaizan, et al. · Proceedings of the 2016 Conference on Empirical… - [Correcting ESL Errors Using Phrasal SMT Techniques](https://md.research.elamur.ai/free/en/papers/brockett-2006-correcting-esl-errors-phrasal-smt/) — Chris Brockett, William B. Dolan, Michael Gamon · Proceedings of the 21st International… - [Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/dowmunt-2019-microsoft-translator-wmt-2019-large/) — Marcin Junczys-Dowmunt · Proceedings of the Fourth Conference on Machine… - [A Comparison of Pivot Methods for Phrase-Based Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/utiyama-2007-comparison-pivot-methods-phrase-based/) — Masao Utiyama, Hitoshi Isahara · Human Language Technologies 2007: The… - [The University of Edinburgh's Neural MT Systems for WMT17](https://md.research.elamur.ai/free/en/papers/sennrich-2017-university-edinburgh-s-neural-mt/) — Rico Sennrich, Alexandra Birch, Anna Currey, et al. · Proceedings of the Second Conference on Machine… - [Copied Monolingual Data Improves Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/currey-2017-copied-monolingual-data-improves-low/) — Anna Currey, Antonio Valerio Miceli Barone, Kenneth Heafield · Proceedings of the Second Conference on Machine… - [An Efficient Method for Determining Bilingual Word Classes](https://md.research.elamur.ai/free/en/papers/och-1999-efficient-method-determining-bilingual-word/) — Franz Josef Och · Ninth Conference of the European Chapter of the… - [A Convolutional Encoder Model for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gehring-2017-convolutional-encoder-model-neural-machine/) — Jonas Gehring, Michael Auli, David Grangier, et al. · Proceedings of the 55th Annual Meeting of the… - [Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description](https://md.research.elamur.ai/free/en/papers/elliott-2017-findings-second-shared-task-multimodal/) — Desmond Elliott, Stella Frank, Loïc Barrault, et al. · Proceedings of the Second Conference on Machine… - [Pivot Language Approach for Phrase-Based Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2007-pivot-language-approach-phrase-based/) — Hua Wu, Haifeng Wang · Proceedings of the 45th Annual Meeting of the… - [Massive Exploration of Neural Machine Translation Architectures](https://md.research.elamur.ai/free/en/papers/britz-2017-massive-exploration-neural-machine-translation/) — Denny Britz, Anna Goldie, Minh-Thang Luong, et al. · Proceedings of the 2017 Conference on Empirical… - [An Evaluation Tool for Machine Translation: Fast Evaluation for MT Research](https://md.research.elamur.ai/free/en/papers/en-2000-evaluation-tool-machine-translation-fast/) — Sonja Nießen, Franz Josef Och, Gregor Leusch, et al. · Proceedings of the Second International… - [Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation](https://md.research.elamur.ai/free/en/papers/kasai-2020-deep-encoder-shallow-decoder-reevaluating/) — Jungo Kasai, Nikolaos Pappas, Hao Peng, et al. · arXiv:2006.10369 - [Generalizing Word Lattice Translation](https://md.research.elamur.ai/free/en/papers/dyer-2008-generalizing-word-lattice-translation/) — Christopher Dyer, Smaranda Muresan, Philip Resnik · Proceedings of ACL-08: HLT - [Overview of the IWSLT 2017 Evaluation Campaign](https://md.research.elamur.ai/free/en/papers/cettolo-2017-overview-iwslt-2017-evaluation-campaign/) — Mauro Cettolo, Marcello Federico, Luisa Bentivogli, et al. · Proceedings of the 14th International… - [Hybrid Simplification using Deep Semantics and Machine Translation](https://md.research.elamur.ai/free/en/papers/narayan-2014-hybrid-simplification-deep-semantics-machine/) — Shashi Narayan, Claire Gardent · Proceedings of the 52nd Annual Meeting of the… - [Findings of the 2011 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/burch-2011-findings-2011-workshop-statistical-machine/) — Chris Callison-Burch, Philipp Koehn, Christof Monz, et al. · Proceedings of the Sixth Workshop on… - [On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2020-exposure-bias-hallucination-domain-shift/) — Chaojun Wang, Rico Sennrich · Proceedings of the 58th Annual Meeting of the… - [Findings of the 2009 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/burch-2009-findings-2009-workshop-statistical-machine/) — Chris Callison-Burch, Philipp Koehn, Christof Monz, et al. · Proceedings of the Fourth Workshop on… - [ORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation](https://md.research.elamur.ai/free/en/papers/lin-2004-orange-method-evaluating-automatic-evaluation/) — Chin-Yew Lin, Franz Josef Och · COLING 2004: Proceedings of the 20th… - [Findings of the Third Shared Task on Multimodal Machine Translation](https://md.research.elamur.ai/free/en/papers/barrault-2018-findings-third-shared-task-multimodal/) — Loïc Barrault, Fethi Bougares, Lucia Specia, et al. · Proceedings of the Third Conference on Machine… - [Trivial Transfer Learning for Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/kocmi-2018-trivial-transfer-learning-low-resource/) — Tom Kocmi, Ondřej Bojar · Proceedings of the Third Conference on Machine… - [Joshua: An Open Source Toolkit for Parsing-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/li-2009-joshua-open-source-toolkit-parsing/) — Zhifei Li, Chris Callison-Burch, Chris Dyer, et al. · Proceedings of the Fourth Workshop on… - [Towards String-To-Tree Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/aharoni-2017-string-tree-neural-machine-translation/) — Roee Aharoni, Yoav Goldberg · Proceedings of the 55th Annual Meeting of the… - [A Comparison of Alignment Models for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/och-2000-comparison-alignment-models-statistical-machine/) — Franz Josef Och, Hermann Ney · COLING 2000 Volume 2: The 18th International… - [The AMARA Corpus: Building Parallel Language Resources for the Educational Domain](https://md.research.elamur.ai/free/en/papers/abdelali-2014-amara-corpus-building-parallel-language/) — Ahmed Abdelali, Francisco Guzman, Hassan Sajjad, et al. · Proceedings of the Ninth International… - [Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-looking-needle-haystack-comprehensive-study/) — Nuno M. Guerreiro, Elena Voita, André Martins · Proceedings of the 17th Conference of the… - [Globally Coherent Text Generation with Neural Checklist Models](https://md.research.elamur.ai/free/en/papers/kiddon-2016-globally-coherent-text-generation-neural/) — Chloé Kiddon, Luke Zettlemoyer, Yejin Choi · Proceedings of the 2016 Conference on Empirical… - [A Simple Domain-Independent Probabilistic Approach to Generation](https://md.research.elamur.ai/free/en/papers/angeli-2010-simple-domain-independent-probabilistic-approach/) — Gabor Angeli, Percy Liang, Dan Klein · Proceedings of the 2010 Conference on Empirical… - [Learning to Simplify Sentences Using Wikipedia](https://md.research.elamur.ai/free/en/papers/coster-2011-learning-simplify-sentences-wikipedia/) — Will Coster, David Kauchak · Proceedings of the Workshop on Monolingual… - [Chinese Poetry Generation with Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/zhang-2014-chinese-poetry-generation-recurrent-neural/) — Xingxing Zhang, Mirella Lapata · Proceedings of the 2014 Conference on Empirical… - [High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics](https://md.research.elamur.ai/free/en/papers/freitag-2022-high-quality-rather-than-high/) — Markus Freitag, David Grangier, Qijun Tan, et al. · Transactions of the Association for… - [Statistical Approaches to Computer-Assisted Translation](https://md.research.elamur.ai/free/en/papers/barrachina-2009-statistical-approaches-computer-assisted-translation/) — Sergio Barrachina, Oliver Bender, Francisco Casacuberta, et al. · Computational Linguistics - [Learning to Parse and Translate Improves Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/eriguchi-2017-learning-parse-translate-improves-neural/) — Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho · Proceedings of the 55th Annual Meeting of the… - [Document Context Neural Machine Translation with Memory Networks](https://md.research.elamur.ai/free/en/papers/maruf-2018-document-context-neural-machine-translation/) — Sameen Maruf, Gholamreza Haffari · Proceedings of the 56th Annual Meeting of the… - [Classical Structured Prediction Losses for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/) — Sergey Edunov, Myle Ott, Michael Auli, et al. · Proceedings of the 2018 Conference of the North… - [Modelling pronominal anaphora in statistical machine translation](https://md.research.elamur.ai/free/en/papers/hardmeier-2010-modelling-pronominal-anaphora-statistical-machine/) — Christian Hardmeier, Marcello Federico · Proceedings of the 7th International Workshop… - [Results of the WMT16 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/bojar-2016-results-wmt16-metrics-shared-task/) — Ondřej Bojar, Yvette Graham, Amir Kamran, et al. · Proceedings of the First Conference on Machine… - [Fast Decoding and Optimal Decoding for Machine Translation](https://md.research.elamur.ai/free/en/papers/germann-2001-fast-decoding-optimal-decoding-machine/) — Ulrich Germann, Michael Jahr, Kevin Knight, et al. · Proceedings of the 39th Annual Meeting of the… - [Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering](https://md.research.elamur.ai/free/en/papers/koehn-2018-findings-wmt-2018-shared-task/) — Philipp Koehn, Huda Khayrallah, Kenneth Heafield, et al. · Proceedings of the Third Conference on Machine… - [Glancing Transformer for Non-Autoregressive Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/qian-2021-glancing-transformer-non-autoregressive-neural/) — Lihua Qian, Hao Zhou, Yu Bao, et al. · Proceedings of the 59th Annual Meeting of the… - [Statistical Power and Translationese in Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/graham-2020-statistical-power-translationese-machine-translation/) — Yvette Graham, Barry Haddow, Philipp Koehn · Proceedings of the 2020 Conference on Empirical… - [N-gram-based Machine Translation](https://md.research.elamur.ai/free/en/papers/marino-2006-n-gram-based-machine-translation/) — José Mariño, Rafael E. Banchs, Josep M. Crego, et al. · Computational Linguistics - [The Effect of Translationese in Machine Translation Test Sets](https://md.research.elamur.ai/free/en/papers/zhang-2019-effect-translationese-machine-translation-test/) — Mike Zhang, Antonio Toral · Proceedings of the Fourth Conference on Machine… - [Investigating Multilingual NMT Representations at Scale](https://md.research.elamur.ai/free/en/papers/kudugunta-2019-investigating-multilingual-nmt-representations-scale/) — Sneha Kudugunta, Ankur Bapna, Isaac Caswell, et al. · Proceedings of the 2019 Conference on Empirical… - [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/) — Chris Callison-Burch, Philipp Koehn, Christof Monz, et al. · Proceedings of the Joint Fifth Workshop on… - [An Effective Approach to Unsupervised Machine Translation](https://md.research.elamur.ai/free/en/papers/artetxe-2019-effective-approach-unsupervised-machine-translation/) — Mikel Artetxe, Gorka Labaka, Eneko Agirre · Proceedings of the 57th Annual Meeting of the… - [Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information](https://md.research.elamur.ai/free/en/papers/lin-2020-pre-training-multilingual-neural-machine/) — Zehui Lin, Xiao Pan, Mingxuan Wang, et al. · Proceedings of the 2020 Conference on Empirical… - [A Study of Reinforcement Learning for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/) — Lijun Wu, Fei Tian, Tao Qin, et al. · Proceedings of the 2018 Conference on Empirical… - [Probing the Need for Visual Context in Multimodal Machine Translation](https://md.research.elamur.ai/free/en/papers/caglayan-2019-probing-need-visual-context-multimodal/) — Ozan Caglayan, Pranava Madhyastha, Lucia Specia, et al. · Proceedings of the 2019 Conference of the North… - [Neural Machine Translation Decoding with Terminology Constraints](https://md.research.elamur.ai/free/en/papers/hasler-2018-neural-machine-translation-decoding-terminology/) — Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, et al. · Proceedings of the 2018 Conference of the North… - [Unsupervised Pretraining for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/ramachandran-2017-unsupervised-pretraining-sequence-sequence-learning/) — Prajit Ramachandran, Peter Liu, Quoc Le · Proceedings of the 2017 Conference on Empirical… - [End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification](https://md.research.elamur.ai/free/en/papers/libovicky-2018-end-end-non-autoregressive-neural/) — Jindřich Libovický, Jindřich Helcl · Proceedings of the 2018 Conference on Empirical… - [Results of the WMT14 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/machacek-2014-results-wmt14-metrics-shared-task/) — Matouš Macháček, Ondřej Bojar · Proceedings of the Ninth Workshop on… - [compare-mt: A Tool for Holistic Comparison of Language Generation Systems](https://md.research.elamur.ai/free/en/papers/neubig-2019-compare-mt-tool-holistic-comparison/) — Graham Neubig, Zi-Yi Dou, Junjie Hu, et al. · Proceedings of the 2019 Conference of the North… - [Precision and Recall of Machine Translation](https://md.research.elamur.ai/free/en/papers/melamed-2003-precision-recall-machine-translation/) — I. Dan Melamed, Ryan Green, Joseph P. Turian · Companion Volume of the Proceedings of… - [Vecalign: Improved Sentence Alignment in Linear Time and Space](https://md.research.elamur.ai/free/en/papers/thompson-2019-vecalign-improved-sentence-alignment-linear/) — Brian Thompson, Philipp Koehn · Proceedings of the 2019 Conference on Empirical… - [Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/heffernan-2022-bitext-mining-distilled-sentence-representations/) — Kevin Heffernan, Onur Çelebi, Holger Schwenk · Findings of the Association for Computational… - [PET: a Tool for Post-editing and Assessing Machine Translation](https://md.research.elamur.ai/free/en/papers/aziz-2012-pet-tool-post-editing-assessing/) — Wilker Aziz, Sheila Castilho, Lucia Specia · Proceedings of the Eighth International… - [Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGE](https://md.research.elamur.ai/free/en/papers/graham-2015-re-evaluating-automatic-summarization-bleu/) — Yvette Graham · Proceedings of the 2015 Conference on Empirical… - [Style Transfer as Unsupervised Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2018-style-transfer-unsupervised-machine-translation/) — Zhirui Zhang, Shuo Ren, Shujie Liu, et al. · arXiv:1808.07894 - [N-gram Counts and Language Models from the Common Crawl](https://md.research.elamur.ai/free/en/papers/buck-2014-n-gram-counts-language-models/) — Christian Buck, Kenneth Heafield, Bas van Ooyen · Proceedings of the Ninth International… - [Lattice-based Minimum Error Rate Training for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/macherey-2008-lattice-based-minimum-error-rate/) — Wolfgang Macherey, Franz Och, Ignacio Thayer, et al. · Proceedings of the 2008 Conference on Empirical… - [Domain Adaptation for Statistical Machine Translation with Monolingual Resources](https://md.research.elamur.ai/free/en/papers/bertoldi-2009-domain-adaptation-statistical-machine-translation/) — Nicola Bertoldi, Marcello Federico · Proceedings of the Fourth Workshop on… - [Multi-level Translation Quality Prediction with QuEst++](https://md.research.elamur.ai/free/en/papers/specia-2015-multi-level-translation-quality-prediction/) — Lucia Specia, Gustavo Paetzold, Carolina Scarton · Proceedings of ACL-IJCNLP 2015 System… - [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/) — Chris Callison-Burch · Proceedings of the 2009 Conference on Empirical… - [Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases](https://md.research.elamur.ai/free/en/papers/marton-2009-improved-statistical-machine-translation-monolingually/) — Yuval Marton, Chris Callison-Burch, Philip Resnik · Proceedings of the 2009 Conference on Empirical… - [Benchmarking Machine Translation with Cultural Awareness](https://md.research.elamur.ai/free/en/papers/yao-2023-benchmarking-machine-translation-cultural-awareness/) — Binwei Yao, Ming Jiang, Tara Bobinac, et al. · arXiv:2305.14328 - [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/) — Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, et al. · Proceedings of the Ninth Conference on Machine… - [Accurate Evaluation of Segment-level Machine Translation Metrics](https://md.research.elamur.ai/free/en/papers/graham-2015-accurate-evaluation-segment-level-machine/) — Yvette Graham, Timothy Baldwin, Nitika Mathur · Proceedings of the 2015 Conference of the North… - [Can Transformer be Too Compositional? 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