Text input disambiguation supported on a hierarchical user model

C. Bento, N. Fonseca
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引用次数: 1

Abstract

Mobile phones are used for various tasks that go far from voice communication. A popular use is for composition of short messages (SMSs), but other applications are also available like email, agenda, contact, and note management. All these uses have in common the need for text input on a small keyboard with ambiguity problems.Various techniques are currently used for input disambiguation, with variable results in terms of usability and efficiency. Some techniques achieve good performance with messages composed by words from a dictionary but poorly when a significant number of words are not in memory.In this paper we present a solution for text disambiguation supported on a general model for disambiguation plus a user model generated from previous messages sent by the user. We present results obtained with this approach and discuss future improvements.
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在分层用户模型上支持文本输入消歧
手机被用于各种各样的任务,而不是语音通信。一个流行的用途是组合短消息(sms),但其他应用程序也可用,如电子邮件、议程、联系人和笔记管理。所有这些用途都有一个共同点,即需要在一个带有歧义问题的小键盘上输入文本。目前用于输入歧义消除的技术多种多样,其结果在可用性和效率方面各不相同。对于由字典中的单词组成的消息,一些技术可以获得良好的性能,但当大量单词不在内存中时,性能就很差了。在本文中,我们提出了一种文本消歧的解决方案,该解决方案支持消歧的通用模型加上由用户发送的先前消息生成的用户模型。我们介绍了用这种方法获得的结果,并讨论了未来的改进。
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