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首页> 外文会议>International Workshop on Future and Emerging Trends in Language Technology >Exploring Flexibility in Natural Language Generation Through Discursive Analysis of New Textual Genres
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Exploring Flexibility in Natural Language Generation Through Discursive Analysis of New Textual Genres

机译：通过对新文本类型的话语分析探索自然语言生成的灵活性

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Since automatic language generation is a task able to enrich applications rooted in most of the language-related areas, from machine translation to interactive dialogue, it seems worthwhile to undertake a strategy focused on enhancing generation system's adaptability and flexibility. It is our first objective to understand the relation between the factors that contribute to discourse articulation in order to devise the techniques that will generate it. From that point, we want to determine the appropriate methods to automatically learn those factors. The role of genre on this approach remains essential as provider of the stable forms that are required in the discourse to meet certain communicative goals. The arising of new web-based genres and the accessibility of the data due to its digital nature, has prompted us to use reviews in our first attempt to learn the characteristics of their singular non-rigid structure. The process and the preliminary results are explained in the present paper.
机译：由于自动语言生成是一种能够丰富植根于大多数与语言相关领域的应用程序的任务，从机器翻译到互动对话，它似乎有值得进行的战略，专注于提高发电系统的适应性和灵活性。我们的第一个目标是了解有助于话语阐述的因素之间的关系，以便设计产生它的技术。从那时起，我们希望确定自动学习这些因素的适当方法。类型对这种方法的作用仍然是讨论某些交际目标所必需的稳定形式的提供者。由于其数字性质而引发了新的基于网络的类型和数据的可访问性，促使我们在第一次尝试中使用审查来学习其奇异非刚性结构的特点。本文解释了该过程和初步结果。

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