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Graham Neubig
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Self-Attentional Models for Lattice Inputs
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
Self-Attentional Acoustic Models
XNMT: The eXtensible Neural Machine Translation Toolkit
Transcribing Against Time
Neural Lattice-to-Sequence Models for Uncertain Inputs
Lightly Supervised Quality Estimation
Optimizing Computer-Assisted Transcription Quality with Iterative User Interfaces
On-the-Fly User Modeling for Cost-Sensitive Correction of Speech Transcripts
SESLA Transcriber: A Speech Transcription Tool That Adapts To Your Skill And Time Budget
Segmentation for Efficient Supervised Language Annotation with an Explicit Cost-Utility Tradeoff
Efficient Speech Transcription Through Respeaking
The 2012 KIT and KIT-NAIST English ASR Systems for the IWSLT Evaluation
The KIT-NAIST (Contrastive) English ASR Systems for the IWSLT Evaluation
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