C. Federmann

发表

Ten Years of WMT Evaluation Campaigns: Lessons Learnt

Philipp Koehn, Matt Post, Lucia Specia, 2016 .

Achieving Human Parity on Automatic Chinese to English News Translation pdf

Lijun Wu, Tie-Yan Liu, Marcin Junczys-Dowmunt, 2018, ArXiv.

Findings of the 2014 Workshop on Statistical Machine Translation

Philipp Koehn, Lucia Specia, Matt Post, 2014, WMT@ACL.

Hybrid Machine Translation Using Joint, Binarised Feature Vectors

C. Federmann, 2012, AMTA.

DFKI System Combination using Syntactic Information at ML4HMT-2011

C. Federmann, S. Hunsicker, Yu Chen, 2011 .

Towards Optimal Choice Selection for Improved Hybrid Machine Translation

Josef van Genabith, Christian Federmann, Pavel Pecina, 2012, Prague Bull. Math. Linguistics.

Further Experiments with Shallow Hybrid MT Systems

Hans Uszkoreit, Jia Xu, Andreas Eisele, 2010, WMT@ACL.

Findings of the 2021 Conference on Machine Translation (WMT21)

Markus Freitag, Jungo Kasai, Philipp Koehn, 2021, WMT.

Findings of the 2017 Conference on Machine Translation (WMT17)

Philipp Koehn, Lucia Specia, Matt Post, 2017, WMT.

Findings of the 2015 Workshop on Statistical Machine Translation

Philipp Koehn, Lucia Specia, Matt Post, 2015, WMT@EMNLP.

Informationsmanagement in der Bundesrepublik Deutschland

C. Federmann, H. Krcmar, 1990 .

Findings of the 2013 Workshop on Statistical Machine Translation

Philipp Koehn, Lucia Specia, Matt Post, 2013, WMT@ACL.

Findings of the 2019 Conference on Machine Translation (WMT19)

Marta R. Costa-jussà, Philipp Koehn, Matt Post, 2019, WMT.

Proceedings of the LREC 2016 Workshop “Translation Evaluation – From Fragmented Tools and Data Sets to an Integrated Ecosystem”

Philipp Koehn, Lucia Specia, Matt Post, 2016 .

MT Server Land: An Open-Source MT Architecure

Andreas Eisele, Christian Federmann, C. Federmann, 2010, Prague Bull. Math. Linguistics.

Length Count Examples 11 1 Taxes Remuneration And Social Security Payable

C. Federmann, Mihael Arcan, 2012 .

Results from the ML 4 HMT Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid

Christian Federmann, C. Federmann, 2011 .

Hybrid Architectures for Multi-Engine Machine Translation

C. Federmann, M. Kay, A. Eisele, 2008, TC.

Proceedings of the Tenth Workshop on Statistical Machine Translation, WMT@EMNLP 2015, 17-18 September 2015, Lisbon, Portugal

Christian Federmann, Pavel Pecina, Matthias Huck, 2015, WMT@EMNLP.

D 6 . 1 : Improved confidence estimation and hybrid architectures for machine translation

C. Federmann, A. Eisele, Yu Chen, 2007 .

Appraise: An Open-Source Toolkit for Manual Phrase-Based Evaluation of Translations

Christian Federmann, C. Federmann, 2010, LREC.

Christian Federmann How can we measure machine translation quality ?

C. Federmann, 2012 .

Proceedings of the Third Conference on Machine Translation: Research Papers, WMT 2018, Belgium, Brussels, October 31 - November 1, 2018

Karin M. Verspoor, Philipp Koehn, Lucia Specia, 2018, Conference on Machine Translation.

Findings of the IWSLT 2022 Evaluation Campaign

Surafel Melaku Lakew, A. Waibel, Ondrej Bojar, 2022, IWSLT.

Proceedings of the Third Conference on Machine Translation: Shared Task Papers, WMT 2018, Belgium, Brussels, October 31 - November 1, 2018

Karin M. Verspoor, Philipp Koehn, Lucia Specia, 2018, Conference on Machine Translation.

Findings of the 2016 Conference on Machine Translation

Karin M. Verspoor, Philipp Koehn, Lucia Specia, 2016, WMT.

To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation

Marcin Junczys-Dowmunt, Christian Federmann, Arul Menezes, 2021, WMT.

Large Language Models Are State-of-the-Art Evaluators of Translation Quality

C. Federmann, Tom Kocmi, 2023, ArXiv.

Findings of the 2022 Conference on Machine Translation (WMT22)

Philipp Koehn, Ondrej Bojar, B. Haddow, 2022, WMT.

Findings of the WMT’22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages

David Ifeoluwa Adelani, Holger Schwenk, Jesse Dodge, 2022, WMT.

Findings of the 2020 Conference on Machine Translation (WMT20)

Philipp Koehn, Matt Post, Santanu Pal, 2020, WMT.

Hybrid machine translation using binary classification models trained on joint, binarised feature vectors

Christian Federmann, C. Federmann, 2013 .

A Machine-Learning Framework for Hybrid Machine Translation

Christian Federmann, C. Federmann, 2012, KI.

Findings of the 2018 Conference on Machine Translation (WMT18)

Philipp Koehn, Christof Monz, Christian Federmann, 2018, WMT.

Appraise: an Open-Source Toolkit for Manual Evaluation of MT Output

Christian Federmann, C. Federmann, 2012, Prague Bull. Math. Linguistics.

FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

Nadir Durrani, Fahim Dalvi, Elizabeth Salesky, 2020, IWSLT.

NTREX-128 – News Test References for MT Evaluation of 128 Languages

C. Federmann, Tom Kocmi, Ying Xin, 2022, SUMEVAL.

Appraise Evaluation Framework for Machine Translation

Christian Federmann, C. Federmann, 2018, COLING.

Assessing Human-Parity in Machine Translation on the Segment Level

Maria Eskevich, Christian Federmann, Barry Haddow, 2020, FINDINGS.

Searching for a Higher Power in the Human Evaluation of MT

Johnny Tian-Zheng Wei, C. Federmann, Tom Kocmi, 2022, WMT.

Large Language Models Are State-of-the-Art Evaluators of Translation Quality

C. Federmann, Tom Kocmi, 2023, EAMT.

The Microsoft Speech Language Translation (MSLT) Corpus for Chinese and Japanese: Conversational Test data for Machine Translation and Speech Recognition

C. Federmann, W. Lewis, 2017, MTSUMMIT.

Achieving Human Parity on Automatic Chinese to English News Translation

F. Seide, C. Federmann, Tie-Yan Liu, 2018, ArXiv.

Using Moses to Integrate Multiple Rule-Based Machine Translation Engines into a Hybrid System

Andreas Eisele, Christian Federmann, Herve Saint-Amand, 2008, WMT@ACL.

On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs pdf

Marcin Junczys-Dowmunt, Christian Federmann, Roman Grundkiewicz, 2021, HUMEVAL.

Extracting and Querying Relations in Scientific Papers

Hans Uszkoreit, Ulrich Schäfer, Christian Federmann, 2008, KI.

Extracting and Querying Relations in Scientific Papers on Language Technology

Hans Uszkoreit, Ulrich Schäfer, Christian Federmann, 2008, LREC.

The ML4HMT Workshop on Optimising the Division of Labour in Hybrid Machine Translation

Josef van Genabith, Marta R. Costa-jussà, Christian Federmann, 2012, LREC.

Experiments with Term Translation

Paul Buitelaar, Christian Federmann, Mihael Arcan, 2012, COLING.

Proceedings of the Second Workshop on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid MT

Josef van Genabith, Marta R. Costa-jussà, Christian Federmann, 2012 .

Machine Learning for Hybrid Machine Translation

Chen Yu, Christian Federmann, Sabine Hunsicker, 2012, WMT@NAACL-HLT.

Stochastic Parse Tree Selection for an Existing RBMT System

Christian Federmann, Sabine Hunsicker, C. Federmann, 2011, WMT@EMNLP.

MS-COMET: More and Better Human Judgements Improve Metric Performance

C. Federmann, Tom Kocmi, Hitokazu Matsushita, 2022, WMT.

Microsoft Speech Language Translation (MSLT) Corpus: The IWSLT 2016 release for English, French and German

Christian Federmann, William Lewis, C. Federmann, 2016, IWSLT.

Findings of the WMT 2019 Shared Task on Automatic Post-Editing

Matteo Negri, Christian Federmann, Marco Turchi, 2019, WMT.

Hybrid machine translation architectures within and beyond the EuroMatrix project

Hans Uszkoreit, Andreas Eisele, Christian Federmann, 2008, EAMT.

Is Cross-lingual Evaluation Only About Cross-lingual?

Daniel H Garrette, Noam M. Shazeer, Pranav Rajpurkar, 2021 .

Findings of the 2018 Conference on Machine Translation (WMT18)

Ondrej Bojar, B. Haddow, C. Federmann, 2018, WMT.

Extraction, Merging, and Monitoring of Company Data from Heterogeneous Sources

Thierry Declerck, Christian Federmann, C. Federmann, 2010, LREC.

Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet

Ondrej Bojar, B. Haddow, C. Federmann, 2023, WMT.

Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies

C. Federmann, Tom Kocmi, Vilém Zouhar, 2024, ArXiv.

Combining Multi-Engine Translations with Moses

Hans Uszkoreit, Andreas Eisele, Christian Federmann, 2009, WMT@EACL.

Hybrid Machine Translation

C. Federmann, A. Eisele, E. Hasler, 2007 .

A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation

Josef van Genabith, Marta R. Costa-jussà, Christian Federmann, 2012, LREC.

Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation?

Christian Federmann, C. Federmann, 2012, ESIRMT/HyTra@EACL.

The Prague Bulletin of Mathematical Linguistics NUMBER 94 SEPTEMBER 2010 57-66

Andreas Eisele, Christian Federmann, C. Federmann, 2010 .