Which Languages do People Speak on Flickr?: A Language and Geo-Location Study of the YFCC100m Dataset

Proceedings of the 2016 ACM Workshop on Multimedia COMMONS Pub Date : 2016-10-16 DOI:10.1145/2983554.2983560

Alireza Koochali, Sebastian Kalkowski, A. Dengel, Damian Borth, Christian Schulze

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引用次数: 10

Abstract

Recently, the Yahoo Flickr Creative Commons 100 Million (YFCC100m) dataset was introduced to the computer vision and multimedia research community. This dataset consists of millions of images and videos spread over the globe. This geo-distribution hints at a potentially large set of different languages being used in titles, descriptions, and tags of these images and videos. Since the YFCC100m metadata does not provide any information about the languages used in the dataset, this paper presents the first analysis of this kind. The language and geo-location characteristics of the YFCC100m dataset is described by providing (a) an overview of used languages, (b) language to country associations, and (c) second language usage in this dataset. Being able to know the language spoken in titles, descriptions, and tags, users of the dataset can make language specific decisions to select subsets of images for, e.g., proper training of classifiers or analyze user behavior specific to their spoken language. Also, this language information is essential for further linguistic studies on the metadata of the YFCC100m dataset.

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人们在Flickr上说哪些语言?: YFCC100m数据集的语言与地理定位研究

最近，Yahoo Flickr Creative Commons 1亿(YFCC100m)数据集被引入计算机视觉和多媒体研究社区。这个数据集由遍布全球的数百万张图片和视频组成。这种地理分布暗示着在这些图像和视频的标题、描述和标签中可能会使用大量不同的语言。由于YFCC100m元数据没有提供数据集中使用的语言的任何信息，因此本文首次对此进行了分析。YFCC100m数据集的语言和地理位置特征通过提供(a)使用语言的概述，(b)向国家协会提供的语言，以及(c)该数据集中的第二语言使用情况来描述。能够知道标题、描述和标签中使用的语言，数据集的用户可以做出特定于语言的决策，以选择图像子集，例如，对分类器进行适当的训练，或分析特定于其口语的用户行为。此外，这些语言信息对于YFCC100m数据集元数据的进一步语言学研究至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2016 ACM Workshop on Multimedia COMMONS

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