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Multilingual extension and evaluation of a poetry generator

机译:诗歌生成者的多语言扩展和评估

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摘要

Poetry generation is a specific kind of natural language generation where several sources of knowledge are typically exploited to handle features on different levels, such as syntax, semantics, form or aesthetics. But although this task has been addressed by several researchers, and targeted different languages, all known systems have focused on a limited purpose and a single language. This article describes the effort of adapting the same architecture to generate poetry in three different languages - Portuguese, Spanish and English. An existing architecture is first described and complemented with the adaptations required for each language, including the linguistic resources used for handling morphology, syntax, semantics and metric scansion. An automatic evaluation was designed in such a way that it would be applicable to the target languages. It covered three relevant aspects of the generated poems, namely: the presence of poetic features, the variation of the linguistic structure and the semantic connection to a given topic. The automatic measures applied for the second and third aspect can be seen as novel in the evaluation of poetry. Overall, poems were successfully generated in the three languages addressed. Despite minor differences in different languages or seed words, poems revealed to have a regular metre, frequent rhymes, to exhibit an interesting degree of variation, and to be semantically-associated with the initially given seeds.
机译:诗歌生成是自然语言生成的一种特殊类型,其中通常利用多种知识来源来处理不同级别的特征,例如语法,语义,形式或美学。但是,尽管这项任务已由数名研究人员解决,并针对不同的语言,但所有已知系统都只针对有限的目的和一种语言。本文介绍了采用相同的体系结构以三种不同语言(葡萄牙语,西班牙语和英语)生成诗歌的工作。首先描述一个现有的体系结构,并对每种语言所需的适应性进行补充,包括用于处理形态,语法,语义和度量扫描的语言资源。设计了一种自动评估,以使其适用于目标语言。它涵盖了生成的诗歌的三个相关方面,即:诗歌特征的存在,语言结构的变化以及与给定主题的语义联系。在诗歌评价中,可以将第二,第三方面所采用的自动措施视为新颖。总体而言,用三种语言成功地创作了诗歌。尽管不同语言或种子词之间的差异很小,但诗歌显示出规律的节奏,频繁的韵律,表现出有趣的变化程度,并且与最初给出的种子在语义上相关联。

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  • 来源
    《Natural language engineering》 |2017年第6期|929-967|共39页
  • 作者单位

    CISUC, Dep. Engenharia Informatica, Universidade de Coimbra, Portugal;

    Dep. de Ing. de Software e Int. Artificial, Universidad Complutense de Madrid, Spain;

    Dep. de Ing. de Software e Int. Artificial, Universidad Complutense de Madrid, Spain;

    Dep. de Ing. de Software e Int. Artificial, Universidad Complutense de Madrid, Spain ,Inst. de Tecnologla del Conocimiento, Universidad Complutense de Madrid, Spain;

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