Wolfgang Macherey

According to our database1, Wolfgang Macherey authored at least 46 papers between 1997 and 2024.

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Bibliography

2024
Barriers to Effective Evaluation of Simultaneous Interpretation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Reinforced Self-Training (ReST) for Language Modeling.
CoRR, 2023

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mu<sup>2</sup>SLAM: Multitask, Multilingual Speech and Language Models.
Proceedings of the International Conference on Machine Learning, 2023

2022
Building Machine Translation Systems for the Next Thousand Languages.
CoRR, 2022

Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation.
Trans. Assoc. Comput. Linguistics, 2021

Self-supervised and Supervised Joint Training for Resource-rich Machine Translation.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Re-translation versus Streaming for Simultaneous Translation.
Proceedings of the 17th International Conference on Spoken Language Translation, 2020

Re-Translation Strategies for Long Form, Simultaneous, Spoken Language Translation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

KoBE: Knowledge-Based Machine Translation Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Improved Domain Adaptation for Statistical Machine Translation.
Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers, 2020

AdvAug: Robust Adversarial Augmentation for Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges.
CoRR, 2019

The Missing Ingredient in Zero-Shot Neural Machine Translation.
CoRR, 2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.
CoRR, 2019

Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model.
Proceedings of the Interspeech 2019, 2019

Leveraging Weakly Supervised Data to Improve End-to-end Speech-to-text Translation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Robust Neural Machine Translation with Doubly Adversarial Inputs.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Monotonic Infinite Lookback Attention for Simultaneous Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation.
CoRR, 2018

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.
CoRR, 2018

Revisiting Character-Based Neural Machine Translation with Capacity and Compression.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.
CoRR, 2016

2010
Discriminative training and acoustic modeling for automatic speech recognition.
PhD thesis, 2010

Expected Sequence Similarity Maximization.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

2009
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices.
Proceedings of the ACL 2009, 2009

2008
Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Lattice-based Minimum Error Rate Training for Statistical Machine Translation.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007
An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems.
Proceedings of the EMNLP-CoNLL 2007, 2007

Improving Word Alignment with Bridge Languages.
Proceedings of the EMNLP-CoNLL 2007, 2007

2005
Investigations on error minimizing training criteria for discriminative training in automatic speech recognition.
Proceedings of the INTERSPEECH 2005, 2005

FIRE in ImageCLEF 2005: Combining Content-Based Image Retrieval with Textual Information Retrieval.
Proceedings of the Accessing Multilingual Information Repositories, 2005

2004
Adaptation in Statistical Pattern Recognition Using Tangent Vectors.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Discriminative training with tied covariance matrices.
Proceedings of the INTERSPEECH 2004, 2004

2003
Probabilistic Aspects in Spoken Document Retrieval.
EURASIP J. Adv. Signal Process., 2003

A comparative study on maximum entropy and discriminative training for acoustic modeling in automatic speech recognition.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2002
Probabilistic retrieval based on document representations.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Towards automatic corpus preparation for a German broadcast news transcription system.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Comparison of discriminative training criteria and optimization methods for speech recognition.
Speech Commun., 2001

Improving automatic speech recognition using tangent distance.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Learning of Variability for Invariant Statistical Pattern Recognition.
Proceedings of the Machine Learning: EMCL 2001, 2001

1999
A combined maximum mutual information and maximum likelihood approach for mixture density splitting.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

1998
Comparison of discriminative training criteria.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Comparison of optimization methods for discriminative training criteria.
Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997


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