Cross-lingual Visual Pre-training for Multimodal Machine Translation
Author(s)
Type
Dataset
Abstract
Supplements for the paper entitled "Cross-lingual Visual Pre-training for Multimodal Machine Translation" which is accepted by the EACL'2021 conference. Further instructions on how to use these resources are explained at https://github.com/ImperialNLP/VTLM
A tarball that contains a custom train, valid, test split of Conceptual Captions (CC) dataset. The included TSV files havean additional column containing automatic German translations of the original English captions. We only provide samples for which we could download the images and extract meaningful features. This amounts to ~3M out ouf ~3.3M original CC samples.
A tarball of the exact object detector checkpoint used for feature extraction.
A tarball with pre-extracted Multi30k dataset features.
A tarball that contains a custom train, valid, test split of Conceptual Captions (CC) dataset. The included TSV files havean additional column containing automatic German translations of the original English captions. We only provide samples for which we could download the images and extract meaningful features. This amounts to ~3M out ouf ~3.3M original CC samples.
A tarball of the exact object detector checkpoint used for feature extraction.
A tarball with pre-extracted Multi30k dataset features.
Date Issued
2021-03-30
Citation
2021
Subjects
machine translation
multimodal machine translation
image captioning