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首页> 外文会议>Thirteenth workshop on innovative use of NLP for building educational applications 2018 >COAST - Customizable Online Syllable Enhancement in Texts: A flexible framework for automatically enhancing reading materials
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COAST - Customizable Online Syllable Enhancement in Texts: A flexible framework for automatically enhancing reading materials

机译：COAST-文本中的可自定义在线音节增强：用于自动增强阅读材料的灵活框架

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This paper presents COAST, a web-based application to easily and automatically enhance syllable structure, word stress, and spacing in texts, that was designed in close collaboration with learning therapists to ensure its practical relevance. Such syllable-enhanced texts are commonly used in learning therapy or private tuition to promote the recognition of syllables in order to improve reading and writing skills. In a state of the art solutions for automatic syllable enhancement, we put special emphasis on syllable stress and support specific marking of the primary syllable stress in words. Core features of our tool are i) a highly customizable text enhancement and template functionality, and ii) a novel crowd-sourcing mechanism that we employ to address the issue of data sparsity in language resources. We successfully tested COAST with real-life practitioners in a series of user tests validating the concept of our framework.
机译：本文介绍了COAST，这是一个基于网络的应用程序，可轻松，自动地增强音节的结构，单词重音和文本间距，它是与学习治疗师密切合作以确保其实用性而设计的。这样的音节增强文本通常用于学习疗法或私人补习中，以促进对音节的识别，从而提高阅读和写作技巧。在用于自动音节增强的最新解决方案中，我们特别强调音节重音并支持单词中主要音节重音的特定标记。我们工具的核心功能是：i）高度可定制的文本增强和模板功能，以及ii）我们采用新颖的众包机制来解决语言资源中的数据稀疏性问题。我们在一系列用户测试中成功地与实际操作者一起测试了COAST，从而验证了我们框架的概念。

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