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Found 11 papers, 2 papers with code
Findings of the Second Workshop on Automatic Simultaneous Translation
This paper presents the results of the shared task of the 2nd Workshop on Automatic Simultaneous Translation (AutoSimTrans).
Learning Adaptive Segmentation Policy for End-to-End Simultaneous Translation
End-to-end simultaneous speech-to-text translation aims to directly perform translation from streaming source speech to target text with high translation quality and low latency.
Non-Autoregressive Chinese ASR Error Correction with Phonological Training
Automatic Speech Recognition (ASR) is an efficient and widely used input method that transcribes speech signals into text.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Learning Adaptive Segmentation Policy for Simultaneous Translation
The policy learns to segment the source text by considering possible translations produced by the translation model, maintaining consistency between the segmentation and translation.
Findings of the Third Workshop on Automatic Simultaneous Translation
This paper reports the results of the shared task we hosted on the Third Workshop of Automatic Simultaneous Translation (AutoSimTrans).
An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation
Consistency regularization methods, such as R-Drop (Liang et al., 2021) and CrossConST (Gao et al., 2023), have achieved impressive supervised and zero-shot performance in the neural machine translation (NMT) field.
BSTC: A Large-Scale Chinese-English Speech Translation Dataset
This corpus is expected to promote the research of automatic simultaneous translation as well as the development of practical systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Dynamic Sentence Boundary Detection for Simultaneous Translation
Simultaneous Translation is a great challenge in which translation starts before the source sentence finished.
DuTongChuan: Context-aware Translation Model for Simultaneous Interpreting
In this paper, we present DuTongChuan, a novel context-aware translation model for simultaneous interpreting.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting
Several pioneering approaches have been proposed based on traffic observations of the target location as well as its adjacent regions, but they obtain somewhat limited accuracy due to a lack of mining road topology.
