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2020 – today
- 2024
- [c62]Tom Kocmi, Vilém Zouhar, Christian Federmann, Matt Post:
Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies. ACL (1) 2024: 1999-2014 - [c61]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 - [c60]Jean Maillard, Laurie Burchell, Antonios Anastasopoulos, Christian Federmann, Philipp Koehn, Skyler Wang:
Findings of the WMT 2024 Shared Task of the Open Language Data Initiative. WMT 2024: 110-117 - [i10]Tom Kocmi, Vilém Zouhar, Christian Federmann, Matt Post:
Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies. CoRR abs/2401.06760 (2024) - [i9]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) - 2023
- [c59]Tom Kocmi, Christian Federmann:
Large Language Models Are State-of-the-Art Evaluators of Translation Quality. EAMT 2023: 193-203 - [c58]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 - [c57]Tom Kocmi, Christian Federmann:
GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4. WMT 2023: 768-775 - [i8]Tom Kocmi, Christian Federmann:
Large Language Models Are State-of-the-Art Evaluators of Translation Quality. CoRR abs/2302.14520 (2023) - [i7]Tom Kocmi, Christian Federmann:
GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4. CoRR abs/2310.13988 (2023) - 2022
- [c56]Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, Marcely Zanon Boito, Ondrej Bojar, Roldano Cattoni, Anna Currey, Georgiana Dinu, Kevin Duh, Maha Elbayad, Clara Emmanuel, Yannick Estève, Marcello Federico, Christian Federmann, Souhir Gahbiche, Hongyu Gong, Roman Grundkiewicz, Barry Haddow, Benjamin Hsu, Dávid Javorský, Vera Kloudová, Surafel Melaku Lakew, Xutai Ma, Prashant Mathur, Paul McNamee, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Jan Niehues, Xing Niu, John Ortega, Juan Miguel Pino, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Marco Turchi, Yogesh Virkar, Alexander Waibel, Changhan Wang, Shinji Watanabe:
Findings of the IWSLT 2022 Evaluation Campaign. IWSLT@ACL 2022: 98-157 - [c55]Tom Kocmi, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Thamme Gowda, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Rebecca Knowles, Philipp Koehn, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Michal Novák, Martin Popel, Maja Popovic:
Findings of the 2022 Conference on Machine Translation (WMT22). WMT 2022: 1-45 - [c54]Johnny Tian-Zheng Wei, Tom Kocmi, Christian Federmann:
Searching for a Higher Power in the Human Evaluation of MT. WMT 2022: 129-139 - [c53]Tom Kocmi, Hitokazu Matsushita, Christian Federmann:
MS-COMET: More and Better Human Judgements Improve Metric Performance. WMT 2022: 541-548 - [c52]David Ifeoluwa Adelani, Md Mahfuz Ibn Alam, Antonios Anastasopoulos, Akshita Bhagia, Marta R. Costa-jussà, Jesse Dodge, Fahim Faisal, Christian Federmann, Natalia Fedorova, Francisco Guzmán, Sergey Koshelev, Jean Maillard, Vukosi Marivate, Jonathan Mbuya, Alexandre Mourachko, Safiyyah Saleem, Holger Schwenk, Guillaume Wenzek:
Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages. WMT 2022: 773-800 - [e11]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] - [i6]Johnny Tian-Zheng Wei, Tom Kocmi, Christian Federmann:
Searching for a higher power in the human evaluation of MT. CoRR abs/2210.11612 (2022) - 2021
- [c51]Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondrej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussà, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri:
Findings of the 2021 Conference on Machine Translation (WMT21). WMT@EMNLP 2021: 1-88 - [c50]Tom Kocmi, Christian Federmann, Roman Grundkiewicz, Marcin Junczys-Dowmunt, Hitokazu Matsushita, Arul Menezes:
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation. WMT@EMNLP 2021: 478-494 - [c49]Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post, Christian Federmann, Philipp Koehn:
The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task. WMT@EMNLP 2021: 904-910 - [e10]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] - [i5]Roman Grundkiewicz, Marcin Junczys-Dowmunt, Christian Federmann, Tom Kocmi:
On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs. CoRR abs/2104.10408 (2021) - [i4]Tom Kocmi, Christian Federmann, Roman Grundkiewicz, Marcin Junczys-Dowmunt, Hitokazu Matsushita, Arul Menezes:
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation. CoRR abs/2107.10821 (2021) - [i3]Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post, Christian Federmann, Philipp Koehn:
The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task. CoRR abs/2109.08724 (2021) - 2020
- [c48]Christian Federmann:
Hybrid Machine Translation Using Joint, Binarised Feature Vectors. AMTA 2020 - [c47]Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur:
TICO-19: the Translation Initiative for COvid-19. NLP4COVID@EMNLP 2020 - [c46]Yvette Graham, Christian Federmann, Maria Eskevich, Barry Haddow:
Assessing Human-Parity in Machine Translation on the Segment Level. EMNLP (Findings) 2020: 4199-4207 - [c45]Ebrahim Ansari, Amittai Axelrod, Nguyen Bach, Ondrej Bojar, Roldano Cattoni, Fahim Dalvi, Nadir Durrani, Marcello Federico, Christian Federmann, Jiatao Gu, Fei Huang, Kevin Knight, Xutai Ma, Ajay Nagesh, Matteo Negri, Jan Niehues, Juan Miguel Pino, Elizabeth Salesky, Xing Shi, Sebastian Stüker, Marco Turchi, Alexander Waibel, Changhan Wang:
FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN. IWSLT 2020: 1-34 - [c44]Loïc Barrault, Magdalena Biesialska, Ondrej Bojar, Marta R. Costa-jussà, Christian Federmann, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Matthias Huck, Eric Joanis, Tom Kocmi, Philipp Koehn, Chi-kiu Lo, Nikola Ljubesic, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Santanu Pal, Matt Post, Marcos Zampieri:
Findings of the 2020 Conference on Machine Translation (WMT20). WMT@EMNLP 2020: 1-55 - [e9]Michael J. Denkowski, Christian Federmann:
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, AMTA 2020, Virtual, October 6-9, 2020. Association for Machine Translation in the Americas 2020 [contents] - [e8]Loïc Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri:
Proceedings of the Fifth Conference on Machine Translation, WMT@EMNLP 2020, Online, November 19-20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-948087-81-0 [contents] - [i2]Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur:
TICO-19: the Translation Initiative for Covid-19. CoRR abs/2007.01788 (2020)
2010 – 2019
- 2019
- [c43]Christian Federmann, Oussama Elachqar, Chris Quirk:
Multilingual Whispers: Generating Paraphrases with Translation. W-NUT@EMNLP 2019: 17-26 - [c42]Martin Popel, Christian Federmann:
Domain Adaptation of Document-Level NMT in IWSLT19. IWSLT 2019 - [c41]Loïc Barrault, Ondrej Bojar, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Shervin Malmasi, Christof Monz, Mathias Müller, Santanu Pal, Matt Post, Marcos Zampieri:
Findings of the 2019 Conference on Machine Translation (WMT19). WMT (2) 2019: 1-61 - [c40]Erick R. Fonseca, Lisa Yankovskaya, André F. T. Martins, Mark Fishel, Christian Federmann:
Findings of the WMT 2019 Shared Tasks on Quality Estimation. WMT (3) 2019: 1-10 - [c39]Rajen Chatterjee, Christian Federmann, Matteo Negri, Marco Turchi:
Findings of the WMT 2019 Shared Task on Automatic Post-Editing. WMT (3) 2019: 11-28 - [e7]Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana L. Neves, Matt Post, Marco Turchi, Karin Verspoor:
Proceedings of the Fourth Conference on Machine Translation, WMT 2019, Florence, Italy, August 1-2, 2019 - Volume 1: Research Papers. Association for Computational Linguistics 2019, ISBN 978-1-950737-27-7 [contents] - [e6]Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana L. Neves, Matt Post, Marco Turchi, Karin Verspoor:
Proceedings of the Fourth Conference on Machine Translation, WMT 2019, Florence, Italy, August 1-2, 2019 - Volume 2: Shared Task Papers, Day 1. Association for Computational Linguistics 2019 [contents] - [e5]Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana L. Neves, Matt Post, Marco Turchi, Karin Verspoor:
Proceedings of the Fourth Conference on Machine Translation, WMT 2019, Florence, Italy, August 1-2, 2019 - Volume 3: Shared Task Papers, Day 2. Association for Computational Linguistics 2019 [contents] - 2018
- [c38]Christian Federmann:
Appraise Evaluation Framework for Machine Translation. COLING (Demos) 2018: 86-88 - [c37]Sandipan Dandapat, Christian Federmann:
Iterative Data Augmentation for Neural Machine Translation: a Low Resource Case Study for English-Telugu. EAMT 2018: 307-312 - [c36]Luisa Bentivogli, Mauro Cettolo, Marcello Federico, Christian Federmann:
Machine Translation Human Evaluation: an investigation of evaluation based on Post-Editing and its relation with Direct Assessment. IWSLT 2018: 62-69 - [c35]Ondrej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Philipp Koehn, Christof Monz:
Findings of the 2018 Conference on Machine Translation (WMT18). WMT (shared task) 2018: 272-303 - [e4]Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana L. Neves, Matt Post, Lucia Specia, Marco Turchi, Karin Verspoor:
Proceedings of the Third Conference on Machine Translation: Research Papers, WMT 2018, Belgium, Brussels, October 31 - November 1, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-81-0 [contents] - [e3]Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana L. Neves, Matt Post, Lucia Specia, Marco Turchi, Karin Verspoor:
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, WMT 2018, Belgium, Brussels, October 31 - November 1, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-81-0 [contents] - [i1]Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang, Ming Zhou:
Achieving Human Parity on Automatic Chinese to English News Translation. CoRR abs/1803.05567 (2018) - 2017
- [c34]Mauro Cettolo, Marcello Federico, Luisa Bentivogli, Jan Niehues, Sebastian Stüker, Katsuhito Sudoh, Koichiro Yoshino, Christian Federmann:
Overview of the IWSLT 2017 Evaluation Campaign. IWSLT 2017: 2-14 - [c33]Christian Federmann, William D. Lewis:
The Microsoft Speech Language Translation (MSLT) Corpus for Chinese and Japanese: Conversational Test data for Machine Translation and Speech Recognition. MTSummit (1) 2017: 72-85 - [c32]Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Shujian Huang, Matthias Huck, Philipp Koehn, Qun Liu, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Raphael Rubino, Lucia Specia, Marco Turchi:
Findings of the 2017 Conference on Machine Translation (WMT17). WMT 2017: 169-214 - [e2]Ondrej Bojar, Christian Buck, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, Julia Kreutzer:
Proceedings of the Second Conference on Machine Translation, WMT 2017, Copenhagen, Denmark, September 7-8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-96-8 [contents] - 2016
- [c31]Christian Federmann, William D. Lewis:
Microsoft Speech Language Translation (MSLT) Corpus: The IWSLT 2016 release for English, French and German. IWSLT 2016 - [c30]Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana L. Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor, Marcos Zampieri:
Findings of the 2016 Conference on Machine Translation. WMT 2016: 131-198 - 2015
- [c29]William Lewis, Christian Federmann, Ying Xin:
Applying cross-entropy difference for selecting parallel training data from publicly available sources for conversational machine translation. IWSLT 2015 - [c28]Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Barry Haddow, Matthias Huck, Chris Hokamp, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Carolina Scarton, Lucia Specia, Marco Turchi:
Findings of the 2015 Workshop on Statistical Machine Translation. WMT@EMNLP 2015: 1-46 - 2014
- [c27]Ondrej Bojar, Christian Buck, Christian Federmann, Barry Haddow, Philipp Koehn, Johannes Leveling, Christof Monz, Pavel Pecina, Matt Post, Herve Saint-Amand, Radu Soricut, Lucia Specia, Ales Tamchyna:
Findings of the 2014 Workshop on Statistical Machine Translation. WMT@ACL 2014: 12-58 - 2013
- [b1]Christian Federmann:
Hybrid machine translation using binary classification models trained on joint, binarised feature vectors. Saarland University, 2013 - [c26]Christian Federmann:
Multi-Engine Machine Translation as a Lifelong Machine Learning Problem. AAAI Spring Symposium: Lifelong Machine Learning 2013 - [c25]Ondrej Bojar, Christian Buck, Chris Callison-Burch, Christian Federmann, Barry Haddow, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, Lucia Specia:
Findings of the 2013 Workshop on Statistical Machine Translation. WMT@ACL 2013: 1-44 - 2012
- [j3]Christian Federmann, Maite Melero, Pavel Pecina, Josef van Genabith:
Towards Optimal Choice Selection for Improved Hybrid Machine Translation. Prague Bull. Math. Linguistics 97: 5-22 (2012) - [j2]Christian Federmann:
Appraise: an Open-Source Toolkit for Manual Evaluation of MT Output. Prague Bull. Math. Linguistics 98: 25-36 (2012) - [c24]Mihael Arcan, Christian Federmann, Paul Buitelaar:
Experiments with Term Translation. COLING 2012: 67-82 - [c23]Christian Federmann:
System Combination Using Joint, Binarised Feature Vectors. AML@COLING 2012: 77-84 - [c22]Christian Federmann, Tsuyoshi Okita, Maite Melero, Marta R. Costa-jussà, Toni Badia, Josef van Genabith:
Results from the ML4HMT-12 Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation. AML@COLING 2012: 85-90 - [c21]Christian Federmann:
Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation? ESIRMT/HyTra@EACL 2012: 113-118 - [c20]Christian Federmann:
A Machine-Learning Framework for Hybrid Machine Translation. KI 2012: 37-48 - [c19]Eleftherios Avramidis, Aljoscha Burchardt, Christian Federmann, Maja Popovic, Cindy Tscherwinka, David Vilar:
Involving Language Professionals in the Evaluation of Machine Translation. LREC 2012: 1127-1130 - [c18]Eleftherios Avramidis, Marta R. Costa-jussà, Christian Federmann, Josef van Genabith, Maite Melero, Pavel Pecina:
A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation. LREC 2012: 2189-2193 - [c17]Christian Federmann, Ioanna Giannopoulou, Christian Girardi, Olivier Hamon, Dimitris Mavroeidis, Salvatore Minutoli, Marc Schröder:
META-SHARE v2: An Open Network of Repositories for Language Resources including Data and Tools. LREC 2012: 3300-3303 - [c16]Christian Federmann, Eleftherios Avramidis, Marta R. Costa-jussà, Josef van Genabith, Maite Melero, Pavel Pecina:
The ML4HMT Workshop on Optimising the Division of Labour in Hybrid Machine Translation. LREC 2012: 3430-3435 - [c15]Mihael Arcan, Christian Federmann, Paul Buitelaar:
Using Domain-specific and Collaborative Resources for Term Translation. SSST@ACL 2012: 86-94 - [c14]Sabine Hunsicker, Chen Yu, Christian Federmann:
Machine Learning for Hybrid Machine Translation. WMT@NAACL-HLT 2012: 312-316 - [e1]Josef van Genabith, Toni Badia, Christian Federmann, Maite Melero, Marta R. Costa-jussà, Tsuyoshi Okita:
Proceedings of the Second Workshop on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid MT@COLING 2012, Mumbai, India, December 25, 2012. The COLING 2012 Organizing Committee 2012 [contents] - 2011
- [c13]Petra Wolf, Ulrike Bernardi, Christian Federmann, Sabine Hunsicker:
From Statistical Term Extraction to Hybrid Machine Translation. EAMT 2011 - [c12]Christian Federmann, Sabine Hunsicker:
Stochastic Parse Tree Selection for an Existing RBMT System. WMT@EMNLP 2011: 351-357 - 2010
- [j1]Christian Federmann, Andreas Eisele:
MT Server Land: An Open-Source MT Architecure. Prague Bull. Math. Linguistics 94: 57-66 (2010) - [c11]Christian Federmann:
Appraise: An Open-Source Toolkit for Manual Phrase-Based Evaluation of Translations. LREC 2010 - [c10]Christian Federmann, Thierry Declerck:
Extraction, Merging, and Monitoring of Company Data from Heterogeneous Sources. LREC 2010 - [c9]Christian Federmann, Andreas Eisele, Yu Chen, Sabine Hunsicker, Jia Xu, Hans Uszkoreit:
Further Experiments with Shallow Hybrid MT Systems. WMT@ACL 2010: 77-81
2000 – 2009
- 2009
- [c8]Yu Chen, Michael Jellinghaus, Andreas Eisele, Yi Zhang, Sabine Hunsicker, Silke Theison, Christian Federmann, Hans Uszkoreit:
Combining Multi-Engine Translations with Moses. WMT@EACL 2009: 42-46 - [c7]Christian Federmann, Silke Theison, Andreas Eisele, Hans Uszkoreit, Yu Chen, Michael Jellinghaus, Sabine Hunsicker:
Translation Combination using Factored Word Substitution. WMT@EACL 2009: 70-74 - 2008
- [c6]Andreas Eisele, Christian Federmann, Hans Uszkoreit, Herve Saint-Amand, Martin Kay, Michael Jellinghaus, Sabine Hunsicker, Teresa Herrmann, Yu Chen:
Hybrid machine translation architectures within and beyond the EuroMatrix project. EAMT 2008: 27-34 - [c5]Ulrich Schäfer, Hans Uszkoreit, Christian Federmann, Torsten Marek, Yajing Zhang:
Extracting and Querying Relations in Scientific Papers. KI 2008: 127-134 - [c4]Thierry Declerck, Christian Federmann, Bernd Kiefer, Hans-Ulrich Krieger:
Ontology-Based Information Extraction and Reasoning for Business Intelligence Applications. KI 2008: 389-390 - [c3]Ulrich Schäfer, Hans Uszkoreit, Christian Federmann, Torsten Marek, Yajing Zhang:
Extracting and Querying Relations in Scientific Papers on Language Technology. LREC 2008 - [c2]Andreas Eisele, Christian Federmann, Herve Saint-Amand, Michael Jellinghaus, Teresa Herrmann, Yu Chen:
Using Moses to Integrate Multiple Rule-Based Machine Translation Engines into a Hybrid System. WMT@ACL 2008: 179-182 - 2007
- [c1]Yu Chen, Andreas Eisele, Christian Federmann, Eva Hasler, Michael Jellinghaus, Silke Theison:
Multi-Engine Machine Translation with an Open-Source SMT Decoder. WMT@ACL 2007: 193-196
Coauthor Index
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