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2020 – today
- 2024
[c115]David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran:
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. ACL (1) 2024: 6189-6206- [c114]Di Wu, Shaomu Tan, Yan Meng, David Stap, Christof Monz:
How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data. ACL (Findings) 2024: 15092-15108 - [c113]Ali Araabi, Vlad Niculae, Christof Monz:
Entropy- and Distance-Regularized Attention Improves Low-Resource Neural Machine Translation. AMTA (1) 2024: 140-153 - [c112]Yan Meng, Christof Monz:
Disentangling the Roles of Target-side Transfer and Regularization in Multilingual Machine Translation. EACL (1) 2024: 1828-1840 - [c111]Sara Rajaee, Christof Monz:
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models. EACL (1) 2024: 2895-2914 - [i51]Di Wu, Shaomu Tan, Yan Meng, David Stap, Christof Monz:
How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Data. CoRR abs/2401.12413 (2024) - [i50]Yan Meng, Christof Monz:
Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation. CoRR abs/2402.01772 (2024) - [i49]Sara Rajaee, Christof Monz:
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models. CoRR abs/2402.02099 (2024) - [i48]Baohao Liao, Christof Monz:
ApiQ: Finetuning of 2-Bit Quantized Large Language Model. CoRR abs/2402.05147 (2024) - [i47]Baohao Liao, Christof Monz:
Is It a Free Lunch for Removing Outliers during Pretraining? CoRR abs/2402.12102 (2024) - [i46]Shaomu Tan, Di Wu, Christof Monz:
Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translation. CoRR abs/2404.11201 (2024) - [i45]David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke M. Tran:
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. CoRR abs/2405.20089 (2024) - [i44]Rochelle Choenni, Sara Rajaee, Christof Monz, Ekaterina Shutova:
On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations? CoRR abs/2406.14267 (2024) - [i43]Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke:
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. CoRR abs/2406.19999 (2024) - [i42]Yan Meng, Di Wu, Christof Monz:
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise on Machine Translation. CoRR abs/2407.02208 (2024) - [i41]Baohao Liao, Christian Herold, Shahram Khadivi, Christof Monz:
IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation. CoRR abs/2408.11512 (2024) - [i40]Baohao Liao, Christof Monz:
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability. CoRR abs/2409.00119 (2024) - [i39]Seth Aycock, David Stap, Di Wu, Christof Monz, Khalil Sima'an:
Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book? CoRR abs/2409.19151 (2024) - 2023
- [c110]Baohao Liao, Yan Meng, Christof Monz:
Parameter-Efficient Fine-Tuning without Introducing New Latency. ACL (1) 2023: 4242-4260 - [c109]Amir Soleimani, Christof Monz, Marcel Worring
:
NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization. ACL (Findings) 2023: 6405-6419 - [c108]Quinten Bolding, Baohao Liao, Brandon James Denis, Jun Luo, Christof Monz:
Ask Language Model to Clean Your Noisy Translation Data. EMNLP (Findings) 2023: 3215-3236 - [c107]David Stap, Christof Monz:
Multilingual k-Nearest-Neighbor Machine Translation. EMNLP 2023: 9200-9208 - [c106]Di Wu, Christof Monz:
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation. EMNLP 2023: 9749-9764 - [c105]Shaomu Tan, Christof Monz:
Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance. EMNLP 2023: 13553-13568 - [c104]David Stap, Vlad Niculae, Christof Monz:
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. EMNLP (Findings) 2023: 14973-14987 - [c103]Kata Naszádi, Putra Manggala, Christof Monz:
Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog. EMNLP (Findings) 2023: 14988-14998 - [c102]Baohao Liao, Shaomu Tan, Christof Monz:
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. NeurIPS 2023 - [c101]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 - [c100]Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz:
UvA-MT's Participation in the WMT 2023 General Translation Shared Task. WMT 2023: 175-180 - [e17]Philipp Koehn, Barry Haddon, Tom Kocmi, Christof Monz:
Proceedings of the Eighth Conference on Machine Translation, WMT 2023, Singapore, December 6-7, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-041-7 [contents] - [i38]David Stap, Vlad Niculae, Christof Monz:
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. CoRR abs/2305.11550 (2023) - [i37]Di Wu, Christof Monz:
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation. CoRR abs/2305.14189 (2023) - [i36]Baohao Liao, Yan Meng, Christof Monz:
Parameter-Efficient Fine-Tuning without Introducing New Latency. CoRR abs/2305.16742 (2023) - [i35]Baohao Liao, Shaomu Tan, Christof Monz:
Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. CoRR abs/2306.00477 (2023) - [i34]Ali Araabi, Vlad Niculae, Christof Monz:
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables. CoRR abs/2307.12835 (2023) - [i33]Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz:
UvA-MT's Participation in the WMT23 General Translation Shared Task. CoRR abs/2310.09946 (2023) - [i32]Shaomu Tan, Christof Monz:
Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance. CoRR abs/2310.10385 (2023) - [i31]Quinten Bolding, Baohao Liao, Brandon James Denis, Jun Luo, Christof Monz:
Ask Language Model to Clean Your Noisy Translation Data. CoRR abs/2310.13469 (2023) - [i30]David Stap, Christof Monz:
Multilingual k-Nearest-Neighbor Machine Translation. CoRR abs/2310.14644 (2023) - 2022
- [c99]Ali Araabi, Christof Monz, Vlad Niculae:
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? AMTA 2022: 117-130 - [c98]Baohao Liao, David Thulke, Sanjika Hewavitharana, Hermann Ney, Christof Monz:
Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token. EMNLP (Findings) 2022: 1478-1492 - [c97]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 - [e16]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] - [i29]Ali Araabi, Christof Monz, Vlad Niculae:
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? CoRR abs/2208.05225 (2022) - [i28]Baohao Liao, David Thulke, Sanjika Hewavitharana, Hermann Ney, Christof Monz:
Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token. CoRR abs/2211.04898 (2022) - 2021
- [j11]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke:
Conversations with Search Engines: SERP-based Conversational Response Generation. ACM Trans. Inf. Syst. 39(4): 47:1-47:29 (2021) - [c96]Amir Soleimani, Christof Monz, Marcel Worring:
NLQuAD: A Non-Factoid Long Question Answering Data Set. EACL 2021: 1245-1255 - [c95]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 - [e15]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] - 2020
- [j10]Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen V. Hindriks, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda C. van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling:
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer 53(8): 18-28 (2020) - [c94]Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
RefNet: A Reference-Aware Network for Background Based Conversation. AAAI 2020: 8496-8503 - [c93]Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. AAAI 2020: 8697-8704 - [c92]Marzieh Fadaee, Christof Monz:
The Unreasonable Volatility of Neural Machine Translation Models. NGT@ACL 2020: 88-96 - [c91]Ali Araabi, Christof Monz:
Optimizing Transformer for Low-Resource Neural Machine Translation. COLING 2020: 3429-3435 - [c90]Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke:
Retrospective and Prospective Mixture-of-Generators for Task-Oriented Dialogue Response Generation. ECAI 2020: 2148-2155 - [c89]Amir Soleimani, Christof Monz, Marcel Worring:
BERT for Evidence Retrieval and Claim Verification. ECIR (2) 2020: 359-366 - [c88]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 - [e14]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] - [i27]Shaojie Jiang, Thomas Wolf, Christof Monz, Maarten de Rijke:
TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation. CoRR abs/2003.11963 (2020) - [i26]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke:
Conversations with Search Engines. CoRR abs/2004.14162 (2020) - [i25]Marzieh Fadaee, Christof Monz:
The Unreasonable Volatility of Neural Machine Translation Models. CoRR abs/2005.12398 (2020) - [i24]Ali Araabi, Christof Monz:
Optimizing Transformer for Low-Resource Neural Machine Translation. CoRR abs/2011.02266 (2020)
2010 – 2019
- 2019
- [c87]Hamidreza Ghader, Christof Monz:
An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures. MTSummit (1) 2019: 107-117 - [c86]Praveen Dakwale, Christof Monz:
Improving Neural Machine Translation Using Noisy Parallel Data through Distillation. MTSummit (1) 2019: 118-127 - [c85]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 - [c84]Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke:
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. WWW 2019: 2879-2885 - [e13]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] - [e12]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] - [e11]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] - [i23]Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke:
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. CoRR abs/1902.09191 (2019) - [i22]Hamidreza Ghader, Christof Monz:
An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures. CoRR abs/1907.03885 (2019) - [i21]Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
RefNet: A Reference-aware Network for Background Based Conversation. CoRR abs/1908.06449 (2019) - [i20]Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. CoRR abs/1908.09528 (2019) - [i19]Amir Soleimani, Christof Monz, Marcel Worring:
BERT for Evidence Retrieval and Claim Verification. CoRR abs/1910.02655 (2019) - [i18]Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke:
Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation. CoRR abs/1911.08151 (2019) - 2018
- [c83]Marzieh Fadaee, Christof Monz:
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation. EMNLP 2018: 436-446 - [c82]Ke M. Tran, Arianna Bisazza, Christof Monz:
The importance of Being Recurrent for Modeling Hierarchical Structure. EMNLP 2018: 4731-4736 - [c81]Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Examining the Tip of the Iceberg: A Data Set for Idiom Translation. LREC 2018 - [c80]Marlies van der Wees, Arianna Bisazza, Christof Monz:
Evaluation of Machine Translation Performance Across Multiple Genres and Languages. LREC 2018 - [c79]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 - [e10]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] - [e9]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] - [i17]Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Examining the Tip of the Iceberg: A Data Set for Idiom Translation. CoRR abs/1802.04681 (2018) - [i16]Ke M. Tran, Arianna Bisazza, Christof Monz:
The Importance of Being Recurrent for Modeling Hierarchical Structure. CoRR abs/1803.03585 (2018) - [i15]Marzieh Fadaee, Christof Monz:
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation. CoRR abs/1808.09006 (2018) - 2017
- [j9]Praveen Dakwale, Christof Monz:
Convolutional over Recurrent Encoder for Neural Machine Translation. Prague Bull. Math. Linguistics 108: 37-48 (2017) - [c78]Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Learning Topic-Sensitive Word Representations. ACL (2) 2017: 441-447 - [c77]Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Data Augmentation for Low-Resource Neural Machine Translation. ACL (2) 2017: 567-573 - [c76]Marlies van der Wees, Arianna Bisazza, Christof Monz:
Dynamic Data Selection for Neural Machine Translation. EMNLP 2017: 1400-1410 - [c75]Hamidreza Ghader, Christof Monz:
What does Attention in Neural Machine Translation Pay Attention to? IJCNLP(1) 2017: 30-39 - [c74]Praveen Dakwale, Christof Monz:
Fine-Tuning for Neural Machine Translation with Limited Degradation across In- and Out-of-Domain Data. MTSummit (1) 2017: 156-169 - [c73]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 - [i14]Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Data Augmentation for Low-Resource Neural Machine Translation. CoRR abs/1705.00440 (2017) - [i13]Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Learning Topic-Sensitive Word Representations. CoRR abs/1705.00441 (2017) - [i12]Marlies van der Wees, Arianna Bisazza, Christof Monz:
Dynamic Data Selection for Neural Machine Translation. CoRR abs/1708.00712 (2017) - [i11]Hamidreza Ghader, Christof Monz:
What does Attention in Neural Machine Translation Pay Attention to? CoRR abs/1710.03348 (2017) - 2016
- [j8]Jerome R. Bellegarda, Christof Monz:
State of the art in statistical methods for language and speech processing. Comput. Speech Lang. 35: 163-184 (2016) - [c72]Praveen Dakwale, Christof Monz:
Improving Statistical Machine Translation Performance by Oracle-BLEU Model Re-estimation. ACL (2) 2016 - [c71]Marlies van der Wees, Arianna Bisazza, Christof Monz:
A Simple but Effective Approach to Improve Arabizi-to-English Statistical Machine Translation. NUT@COLING 2016: 43-50 - [c70]Hamidreza Ghader, Christof Monz:
Which Words Matter in Defining Phrase Reordering Behavior in Statistical Machine Translation? AMTA (1) 2016: 149-162 - [c69]Ekaterina Garmash, Christof Monz:
Ensemble Learning for Multi-Source Neural Machine Translation. COLING 2016: 1409-1418 - [c68]Marlies van der Wees, Arianna Bisazza, Christof Monz:
Measuring the Effect of Conversational Aspects on Machine Translation Quality. COLING 2016: 2571-2581 - [c67]Ke M. Tran, Arianna Bisazza, Christof Monz:
Recurrent Memory Networks for Language Modeling. HLT-NAACL 2016: 321-331 - [c66]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 - [i10]Ke M. Tran, Arianna Bisazza, Christof Monz:
Recurrent Memory Network for Language Modeling. CoRR abs/1601.01272 (2016) - [i9]Hendrik Heuer, Christof Monz, Arnold W. M. Smeulders:
Generating captions without looking beyond objects. CoRR abs/1610.03708 (2016) - 2015
- [c65]Marlies van der Wees, Arianna Bisazza, Wouter Weerkamp, Christof Monz:
What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation. ACL (2) 2015: 560-566 - [c64]Marlies van der Wees, Arianna Bisazza, Christof Monz:
Five Shades of Noise: Analyzing Machine Translation Errors in User-Generated Text. NUT@IJCNLP 2015: 28-37 - [c63]Marlies van der Wees, Arianna Bisazza, Christof Monz:
Translation Model Adaptation Using Genre-Revealing Text Features. DiscoMT@EMNLP 2015: 132-141 - [c62]Ekaterina Garmash, Christof Monz:
Bilingual Structured Language Models for Statistical Machine Translation. EMNLP 2015: 2398-2408 - [c61]Ke M. Tran, Arianna Bisazza, Christof Monz:
A distributed inflection model for translating into morphologically rich languages. MTSummit 2015 - [c60]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
- [c59]Arianna Bisazza, Christof Monz:
Class-Based Language Modeling for Translating into Morphologically Rich Languages. COLING 2014: 1918-1927 - [c58]Spyros Martzoukos, Christof Monz, Christophe Costa Florêncio:
Maximizing Component Quality in Bilingual Word-Aligned Segmentations. EACL 2014: 30-38 - [c57]Ke M. Tran, Arianna Bisazza, Christof Monz:
Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks. EMNLP 2014: 1676-1688 - [c56]Ekaterina Garmash, Christof Monz:
Dependency-Based Bilingual Language Models for Reordering in Statistical Machine Translation. EMNLP 2014: 1689-1700 - [c55]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
- [c54]Spyros Martzoukos, Christophe Costa Florêncio, Christof Monz:
Investigating Connectivity and Consistency Criteria for Phrase Pair Extraction in Statistical Machine Translation. MOL 2013: 93-101 - [c53]Christof Monz:
Challenges and Opportunities of Multilingual Information Access. SLSP 2013: 38 - [c52]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
- [c51]Spyros Martzoukos, Christof Monz:
Power-Law Distributions for Paraphrases Extracted from Bilingual Corpora. EACL 2012: 2-11 - [c50]Vassilina Nikoulina, Bogomil Kovachev, Nikolaos Lagos, Christof Monz:
Adaptation of Statistical Machine Translation Model for Cross-Lingual Information Retrieval in a Service Context. EACL 2012: 109-119 - [c49]Amit Bronner, Christof Monz:
User Edits Classification Using Document Revision Histories. EACL 2012: 356-366 - [c48]Amit Bronner, Matteo Negri, Yashar Mehdad, Angela Fahrni, Christof Monz:
CoSyne: synchronizing multilingual wiki content. WikiSym 2012: 33 - [c47]Chris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, Lucia Specia:
Findings of the 2012 Workshop on Statistical Machine Translation. WMT@NAACL-HLT 2012: 10-51 - [e8]Chris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, Lucia Specia:
Proceedings of the Seventh Workshop on Statistical Machine Translation, WMT@NAACL-HLT 2012, June 7-8, 2012, Montréal, Canada. The Association for Computer Linguistics 2012 [contents] - 2011
- [j7]Simon Carter, Christof Monz:
Syntactic discriminative language model rerankers for statistical machine translation. Mach. Transl. 25(4): 317-339 (2011) - [j6]Christof Monz:
Machine learning for query formulation in question answering. Nat. Lang. Eng. 17(4): 425-454 (2011) - [c46]Christof Monz:
Statistical Machine Translation with Local Language Models. EMNLP 2011: 869-879 - [c45]Christof Monz, Vivi Nastase, Matteo Negri, Angela Fahrni, Yashar Mehdad, Michael Strube:
CoSyne: a framework for multilingual content synchronization of wikis. Int. Sym. Wikis 2011: 217-218 - [c44]Chris Callison-Burch, Philipp Koehn, Christof Monz, Omar Zaidan:
Findings of the 2011 Workshop on Statistical Machine Translation. WMT@EMNLP 2011: 22-64 - [e7]Chris Callison-Burch, Philipp Koehn, Christof Monz, Omar Zaidan:
Proceedings of the Sixth Workshop on Statistical Machine Translation, WMT@EMNLP 2011, Edinburgh, Scotland, UK, July 30-31, 2011. Association for Computational Linguistics 2011, ISBN 978-1-937284-12-1 [contents] - [i8]Roderik Lagerweij, Marc Bron, Christof Monz, Maarten de Rijke:
University of Amsterdam at TAC 2011: English slot filling task (Draft). TAC 2011 - 2010
- [c43]Simon Carter, Christof Monz:
Discriminative Syntactic Reranking for Statistical Machine Translation. AMTA 2010 - [c42]Sirvan Yahyaei, Christof Monz:
The QMUL system description for IWSLT 2010. IWSLT 2010: 157-162 - [c41]Spyros Martzoukos, Christof Monz:
The uva system description for IWSLT 2010. IWSLT 2010: 205-208 - [c40]Sirvan Yahyaei, Christof Monz:
Dynamic distortion in a discriminative reordering model for statistical machine translation. IWSLT 2010: 353-360 - [c39]Chris Callison-Burch, Philipp Koehn, Christof Monz, Kay Peterson, Mark A. Przybocki, Omar Zaidan:
Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation. WMT@ACL 2010: 17-53 - [e6]Chris Callison-Burch, Philipp Koehn, Christof Monz, Kay Peterson, Omar Zaidan:
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, WMT@ACL 2010, Uppsala, Sweden, July 15-16, 2010. Association for Computational Linguistics 2010, ISBN 978-1-932432-71-8 [contents]
2000 – 2009
- 2009
- [j5]Nizar Habash, Bonnie J. Dorr, Christof Monz:
Symbolic-to-statistical hybridization: extending generation-heavy machine translation. Mach. Transl. 23(1): 23-63 (2009) - [c38]Itamar Kastner, Christof Monz:
Automatic Single-Document Key Fact Extraction from Newswire Articles. EACL 2009: 415-423 - [c37]Sirvan Yahyaei, Christof Monz:
Decoding by Dynamic Chunking for Statistical Machine Translation. MTSummit 2009 - [c36]Christof Monz, Wouter Weerkamp:
A comparison of retrieval-based hierarchical clustering approaches to person name disambiguation. SIGIR 2009: 650-651 - [c35]Chris Callison-Burch, Philipp Koehn, Christof Monz, Josh Schroeder:
Findings of the 2009 Workshop on Statistical Machine Translation. WMT@EACL 2009: 1-28 - [e5]Chris Callison-Burch, Philipp Koehn, Christof Monz, Josh Schroeder:
Proceedings of the Fourth Workshop on Statistical Machine Translation, WMT@EACL 2009, Athens, Greece, March 30-31, 2009. Association for Computational Linguistics 2009 [contents] - 2008
- [c34]Sirvan Yahyaei, Christof Monz:
Applying Maximum Entropy to Known-Item Email Retrieval. ECIR 2008: 406-413 - [c33]Simon Carter, Christof Monz, Sirvan Yahyaei:
The QMUL system description for IWSLT 2008. IWSLT 2008: 104-107 - [c32]Chris Callison-Burch, Cameron S. Fordyce, Philipp Koehn, Christof Monz, Josh Schroeder:
Further Meta-Evaluation of Machine Translation. WMT@ACL 2008: 70-106 - [e4]Chris Callison-Burch, Philipp Koehn, Christof Monz, Josh Schroeder, Cameron S. Fordyce:
Proceedings of the Third Workshop on Statistical Machine Translation, WMT@ACL 2008, Columbus, Ohio, USA, June 19, 2008. Association for Computational Linguistics 2008, ISBN 978-1-932432-09-1 [contents] - 2007
- [j4]Stacy President Hobson, Bonnie J. Dorr, Christof Monz, Richard M. Schwartz:
Task-based evaluation of text summarization using Relevance Prediction. Inf. Process. Manag. 43(6): 1482-1499 (2007) - [c31]Christof Monz:
Model Tree Learning for Query Term Weighting in Question Answering. ECIR 2007: 589-596 - [c30]Chris Callison-Burch, Cameron S. Fordyce, Philipp Koehn, Christof Monz, Josh Schroeder:
(Meta-) Evaluation of Machine Translation. WMT@ACL 2007: 136-158 - [e3]Chris Callison-Burch, Philipp Koehn, Cameron S. Fordyce, Christof Monz:
Proceedings of the Second Workshop on Statistical Machine Translation, WMT@ACL 2007, Prague, Czech Republic, June 23, 2007. Association for Computational Linguistics 2007 [contents] - 2006
- [c29]Nizar Habash, Bonnie J. Dorr, Christof Monz:
Challenges in Building an Arabic-English GHMT System with SMT Components. AMTA 2006: 56-65 - [c28]Christof Monz:
Statistical Machine Translation and Cross-Language IR: QMUL at CLEF 2006. CLEF (Working Notes) 2006 - [c27]Philipp Koehn, Christof Monz:
Manual and Automatic Evaluation of Machine Translation between European Languages. WMT@HLT-NAACL 2006: 102-121 - [e2]Philipp Koehn, Christof Monz:
Proceedings on the Workshop on Statistical Machine Translation, WMT@HLT-NAACL 2006, New York City, NY, USA, June 8-9, 2006. Association for Computational Linguistics 2006 [contents] - 2005
- [c26]Bonnie J. Dorr, Christof Monz, Stacy President, Richard M. Schwartz, David M. Zajic:
A Methodology for Extrinsic Evaluation of Text Summarization: Does ROUGE Correlate? IEEvaluation@ACL 2005: 1-8 - [c25]Philipp Koehn, Christof Monz:
Shared Task: Statistical Machine Translation between European Languages. ParallelText@ACL 2005: 119-124 - [c24]Necip Fazil Ayan, Bonnie J. Dorr, Christof Monz:
NeurAlign: Combining Word Alignments Using Neural Networks. HLT/EMNLP 2005: 65-72 - [c23]Necip Fazil Ayan, Bonnie J. Dorr, Christof Monz:
Alignment Link Projection Using Transformation-Based Learning. HLT/EMNLP 2005: 185-192 - [c22]David Chiang, Adam Lopez, Nitin Madnani, Christof Monz, Philip Resnik, Michael Subotin:
The Hiero Machine Translation System: Extensions, Evaluation, and Analysis. HLT/EMNLP 2005: 779-786 - [c21]Christof Monz, Bonnie J. Dorr:
Iterative translation disambiguation for cross-language information retrieval. SIGIR 2005: 520-527 - [e1]Philipp Koehn, Joel Martin, Rada Mihalcea, Christof Monz, Ted Pedersen:
Proceedings of the Workshop on Building and Using Parallel Texts@ACL 2005, Ann Arbor, Michigan, USA, June 29-30, 2005. Association for Computational Linguistics 2005 [contents] - 2004
- [j3]Vera Hollink, Jaap Kamps, Christof Monz, Maarten de Rijke:
Monolingual Document Retrieval for European Languages. Inf. Retr. 7(1-2): 33-52 (2004) - 2003
- [c20]Jaap Kamps, Christof Monz, Maarten de Rijke, Börkur Sigurbjörnsson:
Language-Dependent and Language-Independent Approaches to Cross-Lingual Text Retrieval. CLEF 2003: 152-165 - [c19]Jaap Kamps, Christof Monz, Maarten de Rijke, Börkur Sigurbjörnsson:
The University of Amsterdam at CLEF 2003. CLEF (Working Notes) 2003 - [c18]Christof Monz:
Document Retrieval in the Context of Question Answering. ECIR 2003: 571-579 - [c17]Valentin Jijkoun, Gilad Mishne, Christof Monz, Maarten de Rijke, Stefan Schlobach, Oren Tsur:
The University of Amsterdam at the TREC 2003 Question Answering Track. TREC 2003: 586-593 - [c16]Jaap Kamps, Christof Monz, Maarten de Rijke, Börkur Sigurbjörnsson:
Approaches to Robust and Web Retrieval. TREC 2003: 594-599 - 2002
- [j2]Marco Aiello, Christof Monz, Leon Todoran:
Document understanding for a broad class of documents. Int. J. Document Anal. Recognit. 5(1): 1-16 (2002) - [c15]Jaap Kamps, Christof Monz, Maarten de Rijke:
Combining Evidence for Cross-Language Information Retrieval. CLEF 2002: 111-126 - [c14]Christof Monz, Jaap Kamps, Maarten de Rijke:
The University of Amsterdam at CLEF 2002. CLEF (Working Notes) 2002 - [c13]Christof Monz, Jaap Kamps, Maarten de Rijke:
The University of Amsterdam at TREC 2002. TREC 2002 - 2001
- [c12]Christof Monz:
Document Fusion for Comprehensive Event Description. HTLKM@ACL 2001 - [c11]Christof Monz, Maarten de Rijke:
Shallow Morphological Analysis in Monolingual Information Retrieval for Dutch, German, and Italian. CLEF 2001: 262-277 - [c10]Christof Monz, Maarten de Rijke:
The University of Amsterdam at CLEF 2001. CLEF (Working Notes) 2001 - [c9]Leon Todoran, Marco Aiello, Christof Monz, Marcel Worring:
Logical structure detection for heterogeneous document classes. Document Recognition and Retrieval 2001: 99-110 - [c8]Christof Monz, Maarten de Rijke:
Tequesta: The University of Amsterdam's Textual Question Answering System. TREC 2001 - 2000
- [c7]Marco Aiello, Christof Monz, Leon Todoran:
Combining linguistic and spatial information for document analysis. RIAO 2000: 266-275 - [i7]Christof Monz:
Computing Presuppositions by Contextual Reasoning. CoRR cs.AI/0009019 (2000) - [i6]Christof Monz:
Modeling Ambiguity in a Multi-Agent System. CoRR cs.CL/0009012 (2000) - [i5]Marco Aiello, Christof Monz, Leon Todoran:
Combining Linguistic and Spatial Information for Document Analysis. CoRR cs.CL/0009014 (2000) - [i4]Christof Monz, Maarten de Rijke:
A Tableaux Calculus for Ambiguous Quantification. CoRR cs.CL/0009015 (2000) - [i3]Christof Monz:
Contextual Inference in Computational Semantics. CoRR cs.CL/0009016 (2000) - [i2]Christof Monz, Maarten de Rijke:
A Tableau Calculus for Pronoun Resolution. CoRR cs.CL/0009017 (2000) - [i1]Christof Monz, Maarten de Rijke:
A Resolution Calculus for Dynamic Semantics. CoRR cs.CL/0009018 (2000)
1990 – 1999
- 1999
- [j1]Christof Monz:
Automatic Ambiguity Resolution in Natural Language, Alexander Franz. J. Log. Lang. Inf. 8(1): 111-114 (1999) - [c6]Christof Monz:
Contextual Inference in Computational Semantics. CONTEXT 1999: 242-255 - [c5]Christof Monz, Maarten de Rijke:
A Tableau Calculus for Pronoun Resolution. TABLEAUX 1999: 247-262 - 1998
- [c4]Christof Monz:
Dynamic Semantics and Underspecification. ECAI 1998: 201-202 - [c3]Christof Monz, Maarten de Rijke:
A Resolution Calculus for Dynamic Semantics. JELIA 1998: 184-198 - [c2]Christof Monz, Maarten de Rijke:
Deductions with Meaning. LACL 1998: 1-10 - [c1]Christof Monz, Maarten de Rijke:
A Tableaux Calculus for Ambiguous Quantification. TABLEAUX 1998: 232-246
Coauthor Index
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