2020
DOI: 10.48550/arxiv.2009.04707
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

On Target Segmentation for Direct Speech Translation

Abstract: Recent studies on direct speech translation show continuous improvements by means of data augmentation techniques and bigger deep learning models. While these methods are helping to close the gap between this new approach and the more traditional cascaded one, there are many incongruities among different studies that make it difficult to assess the state of the art. Surprisingly, one point of discussion is the segmentation of the target text. Character-level segmentation has been initially proposed to obtain a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 26 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?