Found in Translation: Achieving Human Parity on Chinese to English News Translation
Machine translation has made rapid advances in recent years. In this talk we describe recent advances of Microsoft’s machine translation system using Neural Machine Translation that lead to achieving a new state-of-the-art, and achieving human parity when compared to professional human translations. We will discuss the technical contributions, results and how we defined and accurately measured human parity in translation.
- Séries:
- Microsoft Research Talks
- Date:
- Haut-parleurs:
- Hany Hassan Awadalla and Christian Federmann
- Affiliation:
- Microsoft
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Christian Federmann
Senior Data Scientist
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Hany Hassan Awadalla
Partner Research Manager
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Taille: Microsoft Research Talks
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Decoding the Human Brain – A Neurosurgeon’s Experience
Speakers:- Pascal Zinn,
- Ivan Tashev
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Galea: The Bridge Between Mixed Reality and Neurotechnology
Speakers:- Eva Esteban,
- Conor Russomanno
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Current and Future Application of BCIs
Speakers:- Christoph Guger
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Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
Speakers:- Hanuma Kodavalla,
- Phil Bernstein
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Improving text prediction accuracy using neurophysiology
Speakers:- Sophia Mehdizadeh
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DIABLo: a Deep Individual-Agnostic Binaural Localizer
Speakers:- Shoken Kaneko
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Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
Speakers:- Kai Zhen
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Audio-based Toxic Language Detection
Speakers:- Midia Yousefi
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From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Speakers:- Sujeeth Bharadwaj
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Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Speakers:- Monojit Choudhury
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'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
Speakers:- Peter Clark
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Checkpointing the Un-checkpointable: the Split-Process Approach for MPI and Formal Verification
Speakers:- Gene Cooperman
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Learning Structured Models for Safe Robot Control
Speakers:- Ashish Kapoor
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