计算机生成文本的作者身份

Leah Henrickson
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引用次数: 2

摘要

自然语言生成(NLG)是指计算机以可读的人类语言(如英语、法语)产生输出的过程。尽管听起来像是科幻小说里的东西,但电脑生成的文本实际上比比皆是;业务绩效报告是由NLG系统生成的,twitter甚至长篇散文也是如此。然而,许多人完全没有意识到计算机生成文本的日益普及。此外,尽管NLG系统已经发展了半个多世纪,但从人文角度对NLG的社会和文学影响的学术考虑仍然有限。本文就是这样一个考虑。人类编写的文本和计算机生成的文本代表了文本生产的明显不同的方法,这就需要不同的文本解释方法。计算机生成的文本以其生产过程和劳动经济为特征,有时似乎与印刷文化不一致,这使人们对作者-读者关系的传统理解受到质疑。但是电脑生成文本的作者是谁?本文首先介绍NLG,因为它已应用于面向公众的文本输出的生成。观察到NLG在文本个性化方面的独特潜力。然后,文章转向考虑作者身份,因为这个概念可以应用于计算机生成的文本,引用历史和当前的法律讨论,以及作者归属的各种跨学科分析。本文建议从将NLG系统视为工具到将其视为社会代理人的语义转变:不是要淘汰人类作家,而是要认识到NLG系统对当前社会文学景观的特殊贡献。正如本文所示,文本基本上被认为是人类的人工制品。计算机生成的文本和人类编写的文本一样,都是人类的产物,但它对人性的非常规表现,促使人们深思,在一个日益数字化的时代,作者身份意味着什么。
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Authorship in Computer-Generated Texts
Natural language generation (NLG) refers to the process in which computers produce output in readable human languages (e.g., English, French). Despite sounding as though they are contained within the realm of science fiction, computer-generated texts actually abound; business performance reports are generated by NLG systems, as are tweets and even works of longform prose. Yet many are altogether unaware of the increasing prevalence of computer-generated texts. Moreover, there has been limited scholarly consideration of the social and literary implications of NLG from a humanities perspective, despite NLG systems being in development for more than half a century. This article serves as one such consideration. Human-written and computer-generated texts represent markedly different approaches to text production that necessitate distinct approaches to textual interpretation. Characterized by production processes and labor economies that at times seem inconsistent with those of print culture, computer-generated texts bring conventional understandings of the author-reader relationship into question. But who—or what—is the author of the computer-generated text? This article begins with an introduction to NLG as it has been applied to the production of public-facing textual output. NLG’s unique potential for textual personalization is observed. The article then moves toward a consideration of authorship as the concept may be applied to computer-generated texts, citing historical and current legal discussions, as well as various interdisciplinary analyses of authorial attribution. This article suggests a semantic shift from considering NLG systems as tools to considering them as social agents in themselves: not to obsolesce human writers, but to recognize the particular contributions of NLG systems to the current socio-literary landscape. As this article shows, texts are regarded as fundamentally human artifacts. A computer-generated text is no less a human artifact than a human-written text, but its unconventional manifestation of humanity prompts calculated contemplation of what authorship means in an increasingly digital age.
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