Smart Home Notifications in Croatian Language: A Transformer-Based Approach

Magdalena Simunec, Renato Soic
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Abstract

Natural language generation is one of the essential components in achieving spoken interaction between a human user and a computer system. In this paper, we describe the process of generating notifications in Croatian language by employing an approach that relies on sentence transformer models. The solution described here extracts the key information from raw system events available in scope of the IoT platform and uses them to construct user-friendly sentences. The use-case scenario we present in this paper is related to a smart home environment. In this scenario, the generated notifications are used to construct spoken notifications using a speech synthesis component.
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克罗地亚语中的智能家居通知:基于变压器的方法
自然语言生成是实现人类用户与计算机系统语音交互的重要组成部分之一。在本文中,我们描述了通过采用依赖于句子转换模型的方法在克罗地亚语中生成通知的过程。这里描述的解决方案从物联网平台范围内可用的原始系统事件中提取关键信息,并使用它们构建用户友好的句子。我们在本文中提出的用例场景与智能家居环境有关。在此场景中,生成的通知用于使用语音合成组件构造语音通知。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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