Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Prosody-Aware Neural Machine Translation for Dubbing   We introduce the task of prosody-aware machine translation which aims at
generating translations suitable for dubbing. Dubbing of a spoken sentence
requires transferring the content as well as the prosodic structure of the
source into the target language to preserve timing information. Practically,
this implies correctly projecting pauses from the source to the target and
ensuring that target speech segments have roughly the same duration of the
corresponding source segments. In this work, we propose an implicit and
explicit modeling approaches to integrate prosody information into neural
machine translation. Experiments on English-German/French with automatic
metrics show that the simplest of the considered approaches works best. Results
are confirmed by human evaluations of translations and dubbed videos.

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The categories of this paper are: cond-mat
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The categories of this paper are: math
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The categories of this paper are: chem-ph
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The categories of this paper are: stat
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The categories of this paper are: hep-ex
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The categories of this paper are: nucl-ex
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The categories of this paper are: math-ph
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The categories of this paper are: adap-org
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The categories of this paper are: solv-int
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The categories of this paper are: nlin
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-th
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The categories of this paper are: supr-con
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The categories of this paper are: physics
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The categories of this paper are: nucl-th
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The categories of this paper are: ao-sci