
Wolfgang Macherey
Wolfgang Macherey joined Google in 2006 as a research scientist, where
he works in the machine translation group with Franz Josef Och. He has
been working on natural language processing since 1996.
Wolfgang worked as a Research Assistant at RWTH Aachen University from 1999 to 2005. His main research interests are in statistical machine translation and automatic speech recognition with the focus on discriminative training methods, natural language processing, statistical pattern recognition, and machine learning.
He received a PhD in Computer Science from RWTH Aachen University, Germany, in 2010 and his Diploma Degree in Computer Science from RWTH Aachen University in 1999 with a major in statistical pattern recognition and a minor in physical chemistry and thermodynamics.
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Google
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
Alex Hauptmann
Zhiruo Wang
Yonatan Bisk
Lu Jiang
NeurIPS (2023)
Building Machine Translation Systems for the Next Thousand Languages
Yonghui Wu
Pallavi Nikhil Baljekar
Macduff Richard Hughes
Julia Kreutzer
Pidong Wang
Mengmeng Niu
Xavier Garcia
Apu Shah
Maxim Krikun
Google Research (2022)
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
David Grangier
George Foster
Viresh Ratnakar
Qijun Tan
Transactions of the Association for Computational Linguistics, 9, pp. 1460-1474
KoBE: Knowledge-Based Machine Translation Evaluation
Zorik Gekhman
Findings of EMNLP (2020)
Re-translation versus Streaming for Simultaneous Translation
George Foster
Naveen Ari
IWSLT 2020, Association for Computational Linguistics