MultiNews: A Web collection of an Aligned Multimodal and Multilingual Corpus

Haithem Afli, Pintu Lohar, Andy Way


Abstract
Integrating Natural Language Processing (NLP) and computer vision is a promising effort. However, the applicability of these methods directly depends on the availability of a specific multimodal data that includes images and texts. In this paper, we present a collection of a Multimodal corpus of comparable texts and their images in 9 languages from the web news articles of Euronews website. This corpus has found widespread use in the NLP community in Multilingual and multimodal tasks. Here, we focus on its acquisition of the images and text data and their multilingual alignment.
Anthology ID:
W17-5602
Volume:
Proceedings of the First Workshop on Curation and Applications of Parallel and Comparable Corpora
Month:
November
Year:
2017
Address:
Taipei, Taiwan
Venue:
WS
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
11–15
Language:
URL:
https://www.aclweb.org/anthology/W17-5602
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-5602.pdf