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2020 – today
- 2024
- [c77]Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Xavier Garcia, Daniel Cremers:
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model. ACL (1) 2024: 15660-15679 - [c76]Mara Finkelstein, Markus Freitag:
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods. ICLR 2024 - [c75]Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang, Zhongtao Liu, William Yang Wang, Lei Li, Markus Freitag:
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback. NAACL-HLT (Findings) 2024: 1429-1445 - [c74]Parker Riley, Daniel Deutsch, George F. Foster, Viresh Ratnakar, Ali Dabirmoghaddam, Markus Freitag:
Finding Replicable Human Evaluations via Stable Ranking Probability. NAACL-HLT 2024: 4908-4919 - [c73]Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow, Marzena Karpinska, Philipp Koehn, Benjamin Marie, Christof Monz, Kenton Murray, Masaaki Nagata, Martin Popel, Maja Popovic, Mariya Shmatova, Steinthór Steingrímsson, Vilém Zouhar:
Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet. WMT 2024: 1-46 - [c72]Markus Freitag, Nitika Mathur, Daniel Deutsch, Chi-kiu Lo, Eleftherios Avramidis, Ricardo Rei, Brian Thompson, Frédéric Blain, Tom Kocmi, Jiayi Wang, David Ifeoluwa Adelani, Marianna Buchicchio, Chrysoula Zerva, Alon Lavie:
Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task. WMT 2024: 47-81 - [c71]Chrysoula Zerva, Frédéric Blain, José Guilherme Camargo de Souza, Diptesh Kanojia, Sourabh Dattatray Deoghare, Nuno Miguel Guerreiro, Giuseppe Attanasio, Ricardo Rei, Constantin Orasan, Matteo Negri, Marco Turchi, Rajen Chatterjee, Pushpak Bhattacharyya, Markus Freitag, André Martins:
Findings of the Quality Estimation Shared Task at WMT 2024: Are LLMs Closing the Gap in QE? WMT 2024: 82-109 - [c70]Juraj Juraska, Daniel Deutsch, Mara Finkelstein, Markus Freitag:
MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task. WMT 2024: 492-504 - [c69]Geza Kovacs, Daniel Deutsch, Markus Freitag:
Mitigating Metric Bias in Minimum Bayes Risk Decoding. WMT 2024: 1063-1094 - [c68]Zhongtao Liu, Parker Riley, Daniel Deutsch, Alison Lui, Mengmeng Niu, Apurva Shah, Markus Freitag:
Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data. WMT 2024: 1095-1106 - [c67]Eleftheria Briakou, Jiaming Luo, Colin Cherry, Markus Freitag:
Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts. WMT 2024: 1301-1317 - [c66]Mara Finkelstein, David Vilar, Markus Freitag:
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data. WMT 2024: 1355-1372 - [i41]Parker Riley, Daniel Deutsch, George F. Foster, Viresh Ratnakar, Ali Dabirmoghaddam, Markus Freitag:
Finding Replicable Human Evaluations via Stable Ranking Probability. CoRR abs/2404.01474 (2024) - [i40]Firas Trabelsi, David Vilar, Mara Finkelstein, Markus Freitag:
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms. CoRR abs/2406.02832 (2024) - [i39]Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow, Marzena Karpinska, Philipp Koehn, Benjamin Marie, Kenton Murray, Masaaki Nagata, Martin Popel, Maja Popovic, Mariya Shmatova, Steinþór Steingrímsson, Vilém Zouhar:
Preliminary WMT24 Ranking of General MT Systems and LLMs. CoRR abs/2407.19884 (2024) - [i38]Mara Finkelstein, David Vilar, Markus Freitag:
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data. CoRR abs/2408.06537 (2024) - [i37]Eleftheria Briakou, Jiaming Luo, Colin Cherry, Markus Freitag:
Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts. CoRR abs/2409.06790 (2024) - [i36]Eleftheria Briakou, Zhongtao Liu, Colin Cherry, Markus Freitag:
On the Implications of Verbose LLM Outputs: A Case Study in Translation Evaluation. CoRR abs/2410.00863 (2024) - [i35]Juraj Juraska, Daniel Deutsch, Mara Finkelstein, Markus Freitag:
MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task. CoRR abs/2410.03983 (2024) - 2023
- [c65]David Vilar, Markus Freitag, Colin Cherry, Jiaming Luo, Viresh Ratnakar, George F. Foster:
Prompting PaLM for Translation: Assessing Strategies and Performance. ACL (1) 2023: 15406-15427 - [c64]Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Wang, Lei Li:
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. EMNLP 2023: 5967-5994 - [c63]Markus Freitag, Behrooz Ghorbani, Patrick Fernandes:
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. EMNLP (Findings) 2023: 9198-9209 - [c62]Daniel Deutsch, George F. Foster, Markus Freitag:
Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration. EMNLP 2023: 12914-12929 - [c61]Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei:
Language models are multilingual chain-of-thought reasoners. ICLR 2023 - [c60]Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat:
Scaling Laws for Multilingual Neural Machine Translation. ICML 2023: 10053-10071 - [c59]Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow, Philipp Koehn, Benjamin Marie, Christof Monz, Makoto Morishita, Kenton Murray, Makoto Nagata, Toshiaki Nakazawa, Martin Popel, Maja Popovic, Mariya Shmatova:
Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet. WMT 2023: 1-42 - [c58]Jan-Thorsten Peter, David Vilar, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Markus Freitag:
There's No Data like Better Data: Using QE Metrics for MT Data Filtering. WMT 2023: 561-577 - [c57]Markus Freitag, Nitika Mathur, Chi-kiu Lo, Eleftherios Avramidis, Ricardo Rei
, Brian Thompson, Tom Kocmi, Frédéric Blain, Daniel Deutsch, Craig Stewart, Chrysoula Zerva, Sheila Castilho, Alon Lavie, George F. Foster:
Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent. WMT 2023: 578-628 - [c56]Pushpak Bhattacharyya, Rajen Chatterjee, Markus Freitag, Diptesh Kanojia, Matteo Negri, Marco Turchi:
Findings of the WMT 2023 Shared Task on Automatic Post-Editing. WMT 2023: 672-681 - [c55]Juraj Juraska, Mara Finkelstein, Daniel Deutsch, Aditya Siddhant, Mehdi Mirzazadeh, Markus Freitag:
MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task. WMT 2023: 756-767 - [c54]Subhajit Naskar, Daniel Deutsch, Markus Freitag:
Quality Estimation Using Minimum Bayes Risk. WMT 2023: 806-811 - [c53]Daniel Deutsch, Juraj Juraska, Mara Finkelstein, Markus Freitag:
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level. WMT 2023: 996-1013 - [c52]Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat:
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. WMT 2023: 1066-1083 - [i34]Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat:
Scaling Laws for Multilingual Neural Machine Translation. CoRR abs/2302.09650 (2023) - [i33]Markus Freitag, Behrooz Ghorbani, Patrick Fernandes:
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. CoRR abs/2305.09860 (2023) - [i32]Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.:
PaLM 2 Technical Report. CoRR abs/2305.10403 (2023) - [i31]Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei Li:
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. CoRR abs/2305.14282 (2023) - [i30]Daniel Deutsch, George F. Foster, Markus Freitag:
Ties Matter: Modifying Kendall's Tau for Modern Metric Meta-Evaluation. CoRR abs/2305.14324 (2023) - [i29]Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat:
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. CoRR abs/2308.07286 (2023) - [i28]Daniel Deutsch, Juraj Juraska, Mara Finkelstein, Markus Freitag:
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level. CoRR abs/2308.13506 (2023) - [i27]Mara Finkelstein, Subhajit Naskar, Mehdi Mirzazadeh, Apurva Shah, Markus Freitag:
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods. CoRR abs/2309.10966 (2023) - [i26]Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Daniel Cremers:
Quality Control at Your Fingertips: Quality-Aware Translation Models. CoRR abs/2310.06707 (2023) - [i25]Jan-Thorsten Peter, David Vilar, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Markus Freitag:
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering. CoRR abs/2311.05350 (2023) - [i24]Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang, Zhongtao Liu, William Yang Wang, Lei Li, Markus Freitag:
Pinpoint, Not Criticize: Refining Large Language Models via Fine-Grained Actionable Feedback. CoRR abs/2311.09336 (2023) - 2022
- [j4]Markus Freitag, David Grangier, Qijun Tan, Bowen Liang:
High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics. Trans. Assoc. Comput. Linguistics 10: 811-825 (2022) - [c51]Markus Freitag, David Vilar, David Grangier, Colin Cherry, George F. Foster:
A Natural Diet: Towards Improving Naturalness of Machine Translation Output. ACL (Findings) 2022: 3340-3353 - [c50]Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry:
Scaling Laws for Neural Machine Translation. ICLR 2022 - [c49]Kelly Marchisio, Markus Freitag, David Grangier:
On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation. NAACL-HLT 2022: 2214-2225 - [c48]Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf:
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. NAACL-HLT 2022: 5303-5320 - [c47]Markus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, Eleftherios Avramidis
Results of WMT22 Metrics Shared Task: Stop Using BLEU - Neural Metrics Are Better and More Robust. WMT 2022: 46-68 - [c46]Pushpak Bhattacharyya, Rajen Chatterjee, Markus Freitag, Diptesh Kanojia, Matteo Negri, Marco Turchi:
Findings of the WMT 2022 Shared Task on Automatic Post-Editing. WMT 2022: 109-117 - [e2]Philipp Koehn, Loïc Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Tom Kocmi, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri, Aurélie Névéol, Mariana Neves, Martin Popel, Marco Turchi, Marcos Zampieri:
Proceedings of the Seventh Conference on Machine Translation, WMT 2022, Abu Dhabi, United Arab Emirates (Hybrid), December 7-8, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-29-6 [contents] - [i23]Belén Saldías, George F. Foster, Markus Freitag, Qijun Tan:
Toward More Effective Human Evaluation for Machine Translation. CoRR abs/2204.05307 (2022) - [i22]Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf:
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. CoRR abs/2205.02293 (2022) - [i21]Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei:
Language Models are Multilingual Chain-of-Thought Reasoners. CoRR abs/2210.03057 (2022) - [i20]David Vilar, Markus Freitag, Colin Cherry, Jiaming Luo, Viresh Ratnakar, George F. Foster:
Prompting PaLM for Translation: Assessing Strategies and Performance. CoRR abs/2211.09102 (2022) - 2021
- [j3]Markus Freitag, George F. Foster, David Grangier, Viresh Ratnakar, Qijun Tan, Wolfgang Macherey:
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation. Trans. Assoc. Comput. Linguistics 9: 1460-1474 (2021) - [c45]Sweta Agrawal, George F. Foster, Markus Freitag, Colin Cherry:
Assessing Reference-Free Peer Evaluation for Machine Translation. NAACL-HLT 2021: 1158-1171 - [c44]Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska
Findings of the 2021 Conference on Machine Translation (WMT21). WMT@EMNLP 2021: 1-88 - [c43]Markus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, George F. Foster, Alon Lavie, Ondrej Bojar:
Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain. WMT@EMNLP 2021: 733-774 - [e1]Loïc Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, Tom Kocmi, André Martins, Makoto Morishita, Christof Monz:
Proceedings of the Sixth Conference on Machine Translation, WMT@EMNLP 2021, Online Event, November 10-11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-94-7 [contents] - [i19]Sweta Agrawal, George F. Foster, Markus Freitag, Colin Cherry:
Assessing Reference-Free Peer Evaluation for Machine Translation. CoRR abs/2104.05146 (2021) - [i18]Markus Freitag, George F. Foster, David Grangier, Viresh Ratnakar, Qijun Tan, Wolfgang Macherey:
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation. CoRR abs/2104.14478 (2021) - [i17]Kelly Marchisio, Markus Freitag, David Grangier:
What Can Unsupervised Machine Translation Contribute to High-Resource Language Pairs? CoRR abs/2106.15818 (2021) - [i16]Scott Roy, Cliff Brunk, Kyu-Young Kim, Justin Zhao, Markus Freitag, Mihir Kale, Gagan Bansal, Sidharth Mudgal, Chris Varano:
Using Machine Translation to Localize Task Oriented NLG Output. CoRR abs/2107.04512 (2021) - [i15]Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry:
Scaling Laws for Neural Machine Translation. CoRR abs/2109.07740 (2021) - [i14]Markus Freitag, David Grangier, Qijun Tan, Bowen Liang:
Minimum Bayes Risk Decoding with Neural Metrics of Translation Quality. CoRR abs/2111.09388 (2021) - 2020
- [c42]Parker Riley, Isaac Caswell, Markus Freitag, David Grangier:
Translationese as a Language in "Multilingual" NMT. ACL 2020: 7737-7746 - [c41]Markus Freitag, David Grangier, Isaac Caswell:
BLEU might be Guilty but References are not Innocent. EMNLP (1) 2020: 61-71 - [c40]Zorik Gekhman, Roee Aharoni, Genady Beryozkin, Markus Freitag, Wolfgang Macherey:
KoBE: Knowledge-Based Machine Translation Evaluation. EMNLP (Findings) 2020: 3200-3207 - [c39]Markus Freitag, Orhan Firat:
Complete Multilingual Neural Machine Translation. WMT@EMNLP 2020: 550-560 - [c38]Rajen Chatterjee, Markus Freitag, Matteo Negri, Marco Turchi:
Findings of the WMT 2020 Shared Task on Automatic Post-Editing. WMT@EMNLP 2020: 646-659 - [c37]Nitika Mathur, Johnny Wei, Markus Freitag, Qingsong Ma, Ondrej Bojar:
Results of the WMT20 Metrics Shared Task. WMT@EMNLP 2020: 688-725 - [c36]Thibault Sellam, Amy Pu, Hyung Won Chung, Sebastian Gehrmann, Qijun Tan, Markus Freitag, Dipanjan Das, Ankur P. Parikh:
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task. WMT@EMNLP 2020: 921-927 - [c35]Markus Freitag, George F. Foster, David Grangier, Colin Cherry:
Human-Paraphrased References Improve Neural Machine Translation. WMT@EMNLP 2020: 1183-1192 - [i13]Markus Freitag, David Grangier, Isaac Caswell:
BLEU might be Guilty but References are not Innocent. CoRR abs/2004.06063 (2020) - [i12]Zorik Gekhman, Roee Aharoni, Genady Beryozkin, Markus Freitag, Wolfgang Macherey:
KoBE: Knowledge-Based Machine Translation Evaluation. CoRR abs/2009.11027 (2020) - [i11]Thibault Sellam, Amy Pu, Hyung Won Chung, Sebastian Gehrmann, Qijun Tan, Markus Freitag, Dipanjan Das, Ankur P. Parikh:
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task. CoRR abs/2010.04297 (2020) - [i10]Markus Freitag, Orhan Firat:
Complete Multilingual Neural Machine Translation. CoRR abs/2010.10239 (2020) - [i9]Markus Freitag, George F. Foster, David Grangier, Colin Cherry:
Human-Paraphrased References Improve Neural Machine Translation. CoRR abs/2010.10245 (2020)
2010 – 2019
- 2019
- [c34]Markus Freitag, Isaac Caswell, Scott Roy:
APE at Scale and Its Implications on MT Evaluation Biases. WMT (1) 2019: 34-44 - [i8]Markus Freitag, Isaac Caswell, Scott Roy:
Text Repair Model for Neural Machine Translation. CoRR abs/1904.04790 (2019) - [i7]Parker Riley, Isaac Caswell, Markus Freitag, David Grangier:
Translationese as a Language in "Multilingual" NMT. CoRR abs/1911.03823 (2019) - 2018
- [c33]Markus Freitag, Scott Roy:
Unsupervised Natural Language Generation with Denoising Autoencoders. EMNLP 2018: 3922-3929 - [i6]Markus Freitag, Scott Roy:
Unsupervised Natural Language Generation with Denoising Autoencoders. CoRR abs/1804.07899 (2018) - 2017
- [c32]Markus Freitag, Yaser Al-Onaizan:
Beam Search Strategies for Neural Machine Translation. NMT@ACL 2017: 56-60 - [i5]Markus Freitag, Yaser Al-Onaizan, Baskaran Sankaran:
Ensemble Distillation for Neural Machine Translation. CoRR abs/1702.01802 (2017) - [i4]Markus Freitag, Yaser Al-Onaizan:
Beam Search Strategies for Neural Machine Translation. CoRR abs/1702.01806 (2017) - [i3]Markus Freitag, Jan-Thorsten Peter, Stephan Peitz, Minwei Feng, Hermann Ney:
Local System Voting Feature for Machine Translation System Combination. CoRR abs/1702.03033 (2017) - [i2]Baskaran Sankaran, Markus Freitag, Yaser Al-Onaizan:
Attention-based Vocabulary Selection for NMT Decoding. CoRR abs/1706.03824 (2017) - 2016
- [i1]Markus Freitag, Yaser Al-Onaizan:
Fast Domain Adaptation for Neural Machine Translation. CoRR abs/1612.06897 (2016) - 2015
- [c31]Markus Freitag, Jan-Thorsten Peter, Stephan Peitz, Minwei Feng, Hermann Ney:
Local System Voting Feature for Machine Translation System Combination. WMT@EMNLP 2015: 467-476 - 2014
- [c30]R. Sommer, Markus Freitag
Improved MEMS AE sensors in HARM technology. SSD 2014: 1-4 - [c29]Markus Freitag, Matthias Huck, Hermann Ney:
Jane: Open Source Machine Translation System Combination. EACL 2014: 29-32 - [c28]Markus Freitag, Joern Wuebker, Stephan Peitz, Hermann Ney, Matthias Huck, Alexandra Birch, Nadir Durrani, Philipp Koehn, Mohammed Mediani, Isabel Slawik, Jan Niehues, Eunach Cho, Alex Waibel, Nicola Bertoldi, Mauro Cettolo, Marcello Federico:
Combined spoken language translation. IWSLT (Evaluation Campaign) 2014 - [c27]Stephan Peitz, Markus Freitag, Hermann Ney:
Better punctuation prediction with hierarchical phrase-based translation. IWSLT 2014 - [c26]Markus Freitag, Stephan Peitz, Joern Wuebker, Hermann Ney, Matthias Huck, Rico Sennrich, Nadir Durrani, Maria Nadejde, Philip Williams, Philipp Koehn, Teresa Herrmann, Eunah Cho, Alex Waibel:
EU-BRIDGE MT: Combined Machine Translation. WMT@ACL 2014: 105-113 - [c25]Stephan Peitz, Joern Wuebker, Markus Freitag, Hermann Ney:
The RWTH Aachen German-English Machine Translation System for WMT 2014. WMT@ACL 2014: 157-162 - 2013
- [c24]Markus Freitag, Stephan Peitz, Joern Wuebker, Hermann Ney, Nadir Durrani, Matthias Huck, Philipp Koehn, Thanh-Le Ha, Jan Niehues, Mohammed Mediani, Teresa Herrmann, Alex Waibel, Nicola Bertoldi, Mauro Cettolo, Marcello Federico:
EU-BRIDGE MT: text translation of talks in the EU-BRIDGE project. IWSLT (Evaluation Campaign) 2013 - [c23]Joern Wuebker, Stephan Peitz, Tamer Alkhouli, Jan-Thorsten Peter, Minwei Feng, Markus Freitag, Hermann Ney:
The RWTH Aachen machine translation systems for IWSLT 2013. IWSLT (Evaluation Campaign) 2013 - [c22]Markus Freitag, Minwei Feng, Matthias Huck, Stephan Peitz, Hermann Ney:
Reverse Word Order Model. MTSummit 2013 - [c21]Minwei Feng, Markus Freitag, Hermann Ney, Bianka Buschbeck, Jean Senellart, Jin Yang:
The System Combination RWTH Aachen: SYSTRAN for the NTCIR-10 PatentMT Evaluation. NTCIR 2013 - [c20]Minwei Feng, Christoph Schmidt, Joern Wuebker, Markus Freitag, Hermann Ney:
The RWTH Aachen System for NTCIR-10 PatentMT. NTCIR 2013 - [c19]Matthias Huck, David Vilar, Markus Freitag, Hermann Ney:
A Performance Study of Cube Pruning for Large-Scale Hierarchical Machine Translation. SSST@NAACL-HLT 2013: 29-38 - [c18]Stephan Peitz, Saab Mansour, Matthias Huck, Markus Freitag, Hermann Ney, Eunah Cho, Teresa Herrmann, Mohammed Mediani, Jan Niehues, Alex Waibel, Alexandre Allauzen, Quoc-Khanh Do, Bianka Buschbeck, Tonio Wandmacher:
Joint WMT 2013 Submission of the QUAERO Project. WMT@ACL 2013: 185-192 - [c17]Stephan Peitz, Saab Mansour, Jan-Thorsten Peter, Christoph Schmidt, Joern Wuebker, Matthias Huck, Markus Freitag, Hermann Ney:
The RWTH Aachen Machine Translation System for WMT 2013. WMT@ACL 2013: 193-199 - 2012
- [j2]Matthias Huck, Jan-Thorsten Peter, Markus Freitag, Stephan Peitz, Hermann Ney:
Hierarchical Phrase-Based Translation with Jane 2. Prague Bull. Math. Linguistics 98: 37-50 (2012) - [c16]Alexander Sorger, Markus Freitag
CFD analysis of viscous losses in complex microsystems. SSD 2012: 1-4 - [c15]Joern Wuebker, Matthias Huck, Stephan Peitz, Malte Nuhn, Markus Freitag, Jan-Thorsten Peter, Saab Mansour, Hermann Ney:
Jane 2: Open Source Phrase-based and Hierarchical Statistical Machine Translation. COLING (Demos) 2012: 483-492 - [c14]Matthias Huck, Stephan Peitz, Markus Freitag, Hermann Ney:
Discriminative Reordering Extensions for Hierarchical Phrase-Based Machine Translation. EAMT 2012: 313-320 - [c13]Stephan Peitz, Saab Mansour, Markus Freitag, Minwei Feng, Matthias Huck, Joern Wuebker, Malte Nuhn, Markus Nußbaum-Thom, Hermann Ney:
The RWTH Aachen speech recognition and machine translation system for IWSLT 2012. IWSLT 2012: 69-76 - [c12]Antti-Veikko I. Rosti, Xiaodong He, Damianos G. Karakos, Gregor Leusch, Yuan Cao, Markus Freitag, Spyros Matsoukas, Hermann Ney, Jason Smith, Bing Zhang:
Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding. WMT@NAACL-HLT 2012: 191-199 - [c11]Matthias Huck, Stephan Peitz, Markus Freitag, Malte Nuhn, Hermann Ney:
The RWTH Aachen Machine Translation System for WMT 2012. WMT@NAACL-HLT 2012: 304-311 - [c10]Markus Freitag, Stephan Peitz, Matthias Huck, Hermann Ney, Jan Niehues, Teresa Herrmann, Alex Waibel, Hai Son Le, Thomas Lavergne, Alexandre Allauzen, Bianka Buschbeck, Josep Maria Crego, Jean Senellart:
Joint WMT 2012 Submission of the QUAERO Project. WMT@NAACL-HLT 2012: 322-329 - [c9]Christoph Böhm, Markus Freitag, Arvid Heise, Claudia Lehmann, Andrina Mascher, Felix Naumann
GovWILD: integrating open government data for transparency. WWW (Companion Volume) 2012: 321-324 - 2011
- [j1]Daniel Stein, David Vilar, Stephan Peitz, Markus Freitag, Matthias Huck, Hermann Ney:
A Guide to Jane, an Open Source Hierarchical Translation Toolkit. Prague Bull. Math. Linguistics 95: 5-18 (2011) - [c8]Joern Wuebker, Matthias Huck, Saab Mansour, Markus Freitag, Minwei Feng, Stephan Peitz, Christoph Schmidt, Hermann Ney:
The RWTH Aachen machine translation system for IWSLT 2011. IWSLT 2011: 106-113 - [c7]Karim Boudahmane, Bianka Buschbeck, Eunah Cho, Josep Maria Crego, Markus Freitag, Thomas Lavergne, Hermann Ney, Jan Niehues, Stephan Peitz, Jean Senellart, Artem Sokolov, Alex Waibel, Tonio Wandmacher, Joern Wuebker, François Yvon:
Advances on spoken language translation in the Quaero program. IWSLT 2011: 114-120 - [c6]Stephan Peitz, Markus Freitag, Arne Mauser, Hermann Ney:
Modeling punctuation prediction as machine translation. IWSLT 2011: 238-245 - [c5]Minwei Feng, Christoph Schmidt, Joern Wuebker, Stephan Peitz, Markus Freitag, Hermann Ney:
The RWTH Aachen System for NTCIR-9 PatentMT. NTCIR 2011 - [c4]Gregor Leusch, Markus Freitag, Hermann Ney:
The RWTH System Combination System for WMT 2011. WMT@EMNLP 2011: 152-158 - [c3]Markus Freitag, Gregor Leusch, Joern Wuebker, Stephan Peitz, Hermann Ney, Teresa Herrmann, Jan Niehues, Alex Waibel, Alexandre Allauzen, Gilles Adda, Josep Maria Crego, Bianka Buschbeck, Tonio Wandmacher, Jean Senellart:
Joint WMT Submission of the QUAERO Project. WMT@EMNLP 2011: 358-364 - [c2]Matthias Huck, Joern Wuebker, Christoph Schmidt, Markus Freitag, Stephan Peitz, Daniel Stein, Arnaud Dagnelies, Saab Mansour, Gregor Leusch, Hermann Ney:
The RWTH Aachen Machine Translation System for WMT 2011. WMT@EMNLP 2011: 405-412 - 2010
- [c1]Christoph Böhm, Felix Naumann
Linking open government data: what journalists wish they had known. I-SEMANTICS 2010
Coauthor Index
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