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How much is said in a microblog? A multilingual inquiry based on Weibo and Twitter

机译:微博说了多少钱?基于微博和Twitter的多语言查询

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摘要

This paper presents a multilingual study on, per single post of microblog text, (a) how much can be said, (b) how much is written in terms of characters and bytes, and (c) how much is said in terms of information content in posts by different organizations in different languages. Focusing on three different languages (English, Chinese, and Japanese), this research analyses Weibo and Twitter accounts of major embassies and news agencies. We first establish our criterion for quantifying \how much can be said" in a digital text based on the openly available Universal Declaration of Human Rights and the translated subtitles from TED talks. These parallel corpora allow us to determine the number of characters and bits needed to represent the same content in different languages and character encodings. We then derive the amount of information that is actually contained in microblog posts authored by selected accounts on Weibo and Twitter. Our results confirm that languages with larger character sets such as Chinese and Japanese contain more information per character than English, but the actual information content contained within a microblog text varies depending on both the type of organization and the language of the post. We conclude with a discussion on the design implications of microblog text limits for different languages.
机译:本文针对多条微博文本发表了多语种研究,(a)可以说多少,(b)用字符和字节写多少,以及(c)信息说多少不同组织以不同语言发布的帖子中的内容。这项研究针对三种不同的语言(英语,中文和日语),分析了主要使馆和新闻机构的微博和Twitter帐户。我们首先根据公开的《世界人权宣言》和TED演讲的翻译字幕,建立量化数字文本中“可以说多少”的标准。这些平行的语料库使我们能够确定所需的字符和位数以不同的语言和字符编码表示相同的内容,然后得出微博和Twitter上选定帐户撰写的微博帖子中实际包含的信息量。我们的结果证实,具有较大字符集的语言(如中文和日语)包含每个字符的信息比英语要多,但微博文本中包含的实际信息内容取决于组织的类型和帖子的语言而有所不同,我们最后讨论了微博文本限制对不同语言的设计含义。

著录项

  • 作者

    Liao, H-T; Fu, K-W; Hale, SA;

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  • 年度 2015
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