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Markov Text Generator for Basque Poetry

机译:马尔可夫文本生成器,用于巴斯克诗歌

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摘要

Poetry generation is a challenging field in the area of natural language processing. A poem is a text structured according to predefined formal rules and whose parts are semantically related. In this work we present a novel automated system to generate poetry in Basque language conditioned by non-local constraints. From a given corpus two Markov chains representing forward and backward 2-grams are built. From these Markov chains and a semantic model, a system able to generate poems conforming a given metric and following semantic cues has been designed. The user is prompted to input a theme for the poem and also a seed word to start the generating process. The system produces several poems in less than a minute, enough for using it in live events.
机译:在自然语言处理领域,诗歌创作是一个充满挑战的领域。一首诗是根据预定义的形式规则构造的文本,其各部分在语义上相关。在这项工作中,我们提出了一种新颖的自动化系统,该系统可以在不受本地限制的情况下以巴斯克语生成诗歌。从给定的语料库,构建代表前向和后向2克的两个马尔可夫链。根据这些马尔可夫链和语义模型,设计了一种能够生成符合给定度量并遵循语义提示的诗歌的系统。提示用户输入诗歌的主题以及种子词以开始生成过程。该系统在不到一分钟的时间内产生了几首诗,足以在现场活动中使用。

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