Compositional Language Modeling for Icon-Based Augmentative and Alternative Communication.

Shiran Dudy, Steven Bedrick
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引用次数: 12

Abstract

Icon-based communication systems are widely used in the field of Augmentative and Alternative Communication. Typically, icon-based systems have lagged behind word- and character-based systems in terms of predictive typing functionality, due to the challenges inherent to training icon-based language models. We propose a method for synthesizing training data for use in icon-based language models, and explore two different modeling strategies.

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基于图标的组合语言建模的辅助和替代交流。
基于图标的通信系统在辅助通信和替代通信领域有着广泛的应用。通常,由于训练基于图标的语言模型所固有的挑战,基于图标的系统在预测键入功能方面落后于基于单词和字符的系统。我们提出了一种用于基于图标的语言模型的综合训练数据的方法,并探索了两种不同的建模策略。
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