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How2: A Large-scale Dataset for Multimodal Language Understanding

  • arXiv (Cornell University)
  • Cornell University
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Paper overview

Abstract

In this paper, we introduce How2, a multimodal collection of instructional videos with English subtitles and crowdsourced Portuguese translations. We also present integrated sequence-to-sequence baselines for machine translation, automatic speech recognition, spoken language translation, and multimodal summarization. By making available data and code for several multimodal natural language tasks, we hope to stimulate more research on these and similar challenges, to obtain a deeper understanding of multimodality in language processing.

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Publication details

DOI
10.48550/arxiv.1811.00347
OpenAlex
W2899274165
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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